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https://l.facebook.com/l.php?u=https%3A%2F%2Fwww.instagram.com%2F&h=AT03R2pbuLkc8UsLDGF_N4HUx_s3XdvxbNNV_ZQvIJ6DgOxMpe3VC7NVsuSZDcMmhWoIt-K8CmlxONwvn16RsQJt0OVXklfRL-3NSD8WM97sn_aKHj5Ol735SkGGI3hlKHqld97gfFWuYMma | Facebook Facebook 이메일 또는 휴대폰 비밀번호 계정을 잊으셨나요? 새 계정 만들기 일시적으로 차단됨 일시적으로 차단됨 회원님의 이 기능 사용 속도가 너무 빠른 것 같습니다. 이 기능 사용에서 일시적으로 차단되었습니다. Back 한국어 English (US) Tiếng Việt Bahasa Indonesia ภาษาไทย Español 中文(简体) 日本語 Português (Brasil) Français (France) Deutsch 가입하기 로그인 Messenger Facebook Lite 동영상 Meta Pay Meta 스토어 Meta Quest Ray-Ban Meta Meta AI Meta AI 콘텐츠 더 보기 Instagram Threads 투표 정보 센터 개인정보처리방침 개인정보 보호 센터 정보 광고 만들기 페이지 만들기 개발자 채용 정보 쿠키 AdChoices 이용 약관 고객 센터 연락처 업로드 및 비사용자 설정 활동 로그 Meta © 2026 | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=he | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=kn | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_CO | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:58 |
https://l.facebook.com/l.php?u=https%3A%2F%2Fwww.meta.com%2Fsmart-glasses%2F&h=AT2f0BtqngkW-Uy60IhRAPm4eiEI75kk2w_CrLn7HLH18QBlJHr_tLEQBKJzWOHO9U0eLnxe7faAdwB_QaZAKK7ypOb7T16LkwYkEC5JczACnHYCTwwY2-AkyWiPFxOtngsbTsrGXjHOPKQ- | Facebook Facebook 이메일 또는 휴대폰 비밀번호 계정을 잊으셨나요? 새 계정 만들기 일시적으로 차단됨 일시적으로 차단됨 회원님의 이 기능 사용 속도가 너무 빠른 것 같습니다. 이 기능 사용에서 일시적으로 차단되었습니다. Back 한국어 English (US) Tiếng Việt Bahasa Indonesia ภาษาไทย Español 中文(简体) 日本語 Português (Brasil) Français (France) Deutsch 가입하기 로그인 Messenger Facebook Lite 동영상 Meta Pay Meta 스토어 Meta Quest Ray-Ban Meta Meta AI Meta AI 콘텐츠 더 보기 Instagram Threads 투표 정보 센터 개인정보처리방침 개인정보 보호 센터 정보 광고 만들기 페이지 만들기 개발자 채용 정보 쿠키 AdChoices 이용 약관 고객 센터 연락처 업로드 및 비사용자 설정 활동 로그 Meta © 2026 | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=my | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=hi | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <p | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_PR | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M0 0h24v24H0z" fi | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=gu | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18. | 2026-01-13T09:29:58 |
https://shows.acast.com/frontier/episodes/ep-44-sabber-ahamed-founder-of-xoolooloo | Ep. 44: Sabber Ahamed, Founder of xoolooloo - Frontier Podcast by Gun.io | Acast Follow Share Play Frontier Podcast by Gun.io Ep. 44: Sabber Ahamed, Founder of xoolooloo Season 4 , Ep. 44 • Thursday, February 29, 2024 This week, Teja talks with Sabber Ahamed, Founder of Xoolooloo and Data Scientist at Bridgestone. They discuss the proliferation of data science, the joys of working on your own projects outside of the 9-5, and the different things career goals of a computational geophysicist can really shake up. Show more RSS More episodes View all episodes 46. Ep. 46: Matt Genovese, CEO and Founder of Planorama 54:36 | Thursday, April 11, 2024 | Season 4 , Ep. 46 This week, Teja sits down with Matt Genovese, CEO and Founder of Planorama, a company that designs UX/UI flows for products with complete enablement for software teams. They discuss the intricacies of living abroad, the importance of incorporating design, and how de-risking early on in the life of a new product can make it more successful in the long run.https://planorama.design/matthttps://aiproducthive.com Play 45. Ep. 45: Brian Pontarelli, CEO and Founder of FusionAuth 44:05 | Thursday, March 28, 2024 | Season 4 , Ep. 45 On this week's episode, Teja sits down with Brian Pontarelli, Founder and CEO of both FusionAuth and Cleanspeak. They discuss the complexities of growing two businesses at the same time, making progress without using AI, and the subtle clues in an interview process that let you know someone's a great culture fit.https://fusionauth.io/https://cleanspeak.com/ Play 43. Ep. 43: Harpreet Singh, CEO and Co-Founder at Launchable 39:22 | Thursday, February 15, 2024 | Season 4 , Ep. 43 This week, Teja talks with Harpreet Singh, Co-CEO and Co-Founder of Launchable, a company that's on a mission to make software testing faster and smarter. They discuss the DACI framework and the importance of intentionality in decision-making, what it's like to bring a behemoth like Jenkins to life, and the power of slowing down to meditate.https://www.launchableinc.com/ Play 42. Ep. 42: Brian Douglas, CEO and Founder at OpenSauced 36:55 | Thursday, February 1, 2024 | Season 4 , Ep. 42 In this week's episode, Teja talks with Brian Douglas, CEO and Founder at OpeSauced. They talk about how a good open source portfolio is more than just getting your name on big projects, the natural progression from developer advocacy to building an open source marketplace, and the trials and tribulations of learning to lead as you grow.opensauced.pizza Play 41. Ep. 41: Ian Villa, COO and Co-founder at Whisper Aero 37:33 | Thursday, January 18, 2024 | Season 4 , Ep. 41 Joining Teja on this week's episode is Ian Villa, COO and Co-founder of Whisper Aero, a company that is developing cleaner, quieter, and more efficient propulsion solutions. They discuss the pros and cons of a campus with on-site housing, the burgeoning Nashville tech scene, and how a 5 am trip to Kinko's can, in hindsight, be a lesson in entrepreneurship.whisper.aero Play 40. Ep. 40: Kate O'Neil, CEO and Co-founder at Teaming 58:40 | Thursday, January 11, 2024 | Season 4 , Ep. 40 This week, Teja sits down for round two with Kate O'Neil, who has moved into the CEO position at Teaming since the last time they talked. They discuss the differences that come with the transition to becoming a CEO, the importance of incorporating movement into your life, and why getting the best sleep comes down to the perfect sheets.teaming.com Play 39. Ep. 39: Jeremy Snyder, CEO and Founder at FireTail 50:32 | Thursday, January 4, 2024 | Season 4 , Ep. 39 After a brief holiday hiatus, Teja is back this week with Jeremy Snyder, the Founder and CEO of FireTail, an API security platform that provides application layer visibility, real-time, inline inspection, and blocking of malicious API calls. They talk about being a less technical founder, how being a polyglot helps you understand more than language, and the importance of taking the time to find your own adventure.https://www.firetail.io/ Play 38. Ep. 38: Stefan Avram, Head of Growth and Co-Founder at WunderGraph 34:16 | Thursday, December 21, 2023 | Season 4 , Ep. 38 Teja sits down with Stefan Avram, Head of Growth and Co-founder at WunderGraph, an open-source GraphQL federation. They discuss how injuries can change your life trajectory, the complexities of working with distributed teams, and how sometimes getting fired can be the best thing that's ever happened to you. www.wundergraph.com Play Instagram X.com TikTok Copyright Gun.io Hosted with ❤️ by Acast | 2026-01-13T09:29:58 |
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https://play.google.com/store/apps/details?id=notion.id&hl=id | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <p | 2026-01-13T09:29:58 |
https://akismet.com/developers/detailed-docs/comment-check/ | Comment check – Akismet Skip to content Features Enterprise Developers Pricing Resources Learn with Akismet Support Blog Accessibility Log in Get started Features Enterprise Developers Pricing Resources Learn with Akismet Support Blog Accessibility Log in Get started Getting started Plugins and libraries Detailed docs Building your application Key verification Comment check Submit spam (missed spam) Submit ham (false positives) Key/sites activity Usage limit Response error codes Akismet Error #10001 Akismet Error #10003 Akismet Error #10402 Akismet Error #10011 Akismet Error #10010 Akismet Error #10009 Akismet Error #10006 Akismet Error #10005 Akismet Error #10404 Akismet Error #10403 Akismet Error #30001 Comment check This is the call you will make the most. It takes a number of arguments and characteristics about the submitted content and then returns a thumbs up or thumbs down. Performance can drop dramatically if you choose to exclude data points. The more data you send Akismet about each comment, the greater the accuracy. We recommend erring on the side of including too much data. This method is called with the following URL: https://rest.akismet.com/1.1/comment-check Important: All parameters should be sent via the POST method. Parameters api_key (required) Your Akismet API key. You can find this on your account dashboard at https://akismet.com/account/ blog (required) The front page or home URL of the instance making the request. For a blog or wiki this would be the front page. Note: Must be a full URI, including http:// . user_ip (required) IP address of the comment submitter. user_agent User agent string of the web browser submitting the comment – typically the HTTP_USER_AGENT cgi variable. Not to be confused with the user agent of your Akismet library. referrer (note spelling) The content of the HTTP_REFERER header should be sent here. permalink The full permanent URL of the entry the comment was submitted to. comment_type A string that describes the type of content being sent. Examples: comment : A blog comment. forum-post : A top-level forum post. reply : A reply to a top-level forum post. blog-post : A blog post. contact-form : A contact form or feedback form submission. signup : A new user account. message : A message sent between just a few users. You may send a value not listed above if none of them accurately describe your content. This is further explained here . comment_author Name submitted with the comment. comment_author_email Email address submitted with the comment. comment_author_url URL submitted with comment. Only send a URL that was manually entered by the user, not an automatically generated URL like the user’s profile URL on your site. comment_content The content that was submitted. comment_date_gmt The UTC timestamp of the creation of the comment, in ISO 8601 format. May be omitted for comment-check requests if the comment is sent to the API at the time it is created. comment_post_modified_gmt The UTC timestamp of the publication time for the post, page or thread on which the comment was posted. blog_lang Indicates the language(s) in use on the blog or site, in ISO 639-1 format, comma-separated. A site with articles in English and French might use “en, fr_ca”. blog_charset The character encoding for the form values included in comment_* parameters, such as “UTF-8” or “ISO-8859-1”. user_role The user role of the user who submitted the comment. This is an optional parameter. If you set it to “administrator”, Akismet will always return false. is_test This is an optional parameter. You can use it when submitting test queries to Akismet. recheck_reason If you are sending content to Akismet to be rechecked, such as a post that has been edited or old pending comments that you’d like to recheck, include the parameter recheck_reason with a string describing why the content is being rechecked. For example, recheck_reason=edit . honeypot_field_name If you use a honeypot field in your implementation, include the name of the field in your request as well as the value of that field. For example, if you have a honeypot field that looks like <input type=”text” name=”hidden_honeypot_field” style=”display: none;” /> , then you should include two extra parameters in your request: honeypot_field_name=hidden_honeypot_field and hidden_honeypot_field=[the value of the input] . comment_context The comment_context parameter provides context for the environment in which the comment was posted: a list of tags or categories applied to the parent blog post or the site on which the comment was posted. Specify comment_context using PHP-style array parameter notation: comment_context[]=cooking&comment_context[]=recipes&comment_context[]=bbq Note that any tags or categories should be taken from the parent post or environment; they should not be supplied by the commenters themselves. Other server environmental variables In PHP, there is an array of environmental variables called $_SERVER that contains information about the Web server itself as well as a key/value for every HTTP header sent with the request. This data is highly useful to Akismet. How the submitted content interacts with the server can be very telling, so please include as much of it as possible. PHP example $data = array( 'blog' => 'http://yourgroovydomain.com', 'user_ip' => '127.0.0.1', 'user_agent' => 'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.2) Gecko/20100115 Firefox/3.6', 'referrer' => 'http://www.google.com', 'permalink' => 'http://yourgroovydomain.com/blog/post=1', 'comment_type' => 'comment', 'comment_author' => 'admin', 'comment_author_email' => 'test@example.com', 'comment_author_url' => 'http://www.example.com', 'comment_content' => 'It means a lot that you would take the time to review our software. Thanks again.' ); akismet_comment_check( '123YourAPIKey', $data ); // Passes back true (it's spam) or false (it's ham). function akismet_comment_check( $api_key, $data ) { $request = 'api_key=' . urlencode( $api_key ) . '&blog=' . urlencode( $data['blog'] ) . '&user_ip=' . urlencode( $data['user_ip'] ) . '&user_agent=' . urlencode( $data['user_agent'] ) . '&referrer=' . urlencode( $data['referrer'] ) . '&permalink=' . urlencode( $data['permalink'] ) . '&comment_type=' . urlencode( $data['comment_type'] ) . '&comment_author=' . urlencode( $data['comment_author'] ) . '&comment_author_email=' . urlencode( $data['comment_author_email'] ) . '&comment_author_url=' . urlencode( $data['comment_author_url'] ) . '&comment_content=' . urlencode( $data['comment_content'] ); $host = $http_host = 'rest.akismet.com'; $path = '/1.1/comment-check'; $port = 443; $akismet_ua = "WordPress/4.4.1 | Akismet/3.1.7"; $content_length = strlen( $request ); $http_request = "POST $path HTTP/1.0\r\n"; $http_request .= "Host: $host\r\n"; $http_request .= "Content-Type: application/x-www-form-urlencoded\r\n"; $http_request .= "Content-Length: {$content_length}\r\n"; $http_request .= "User-Agent: {$akismet_ua}\r\n"; $http_request .= "\r\n"; $http_request .= $request; $response = ''; if( false != ( $fs = @fsockopen( 'ssl://' . $http_host, $port, $errno, $errstr, 10 ) ) ) { fwrite( $fs, $http_request ); while ( !feof( $fs ) ) { $response .= fgets( $fs, 1160 ); // One TCP-IP packet } fclose( $fs ); $response = explode( "\r\n\r\n", $response, 2 ); } if ( 'true' == $response[1] ) { return true; } else { return false; } } This call returns either “ true ” (if this is spam) or “ false ” if it’s not. Spam response example The call returns “ true ” if the comment is spam. If you are having trouble triggering a spam response, you can send “ akismet-guaranteed-spam ” as the author or “ akismet-guaranteed-spam@example.com ” as the author email. Either value will always trigger a “ true ” response. Array ( [0] => HTTP/1.1 200 OK Server: nginx Date: Mon, 24 Feb 2014 20:17:08 GMT Content-Type: text/plain; charset=utf-8 Connection: close Content-length: 4 [1] => true ) A spam response may also include the X-akismet-pro-tip header, like so: Array ( [0] => HTTP/1.1 200 OK Server: nginx Date: Mon, 24 Feb 2014 20:17:08 GMT Content-Type: text/plain; charset=utf-8 Connection: close X-akismet-pro-tip: discard Content-length: 4 [1] => true ) If the X-akismet-pro-tip header is set to discard , then Akismet has determined that the comment is blatant spam, and you can safely discard it without saving it in any spam queue. Read more about this feature in this Akismet blog post . Ham response example The call returns “ false ” if the comment is ham. If you are having trouble triggering a ham response, you can set “ user_role ” to “ administrator ” and set the “ is_test ” parameter to “ true ”, and it will always trigger a “ false ” response. Array ( [0] => HTTP/1.1 200 OK Server: nginx Date: Mon, 24 Feb 2014 20:17:08 GMT Content-Type: text/plain; charset=utf-8 Connection: close Content-length: 5 [1] => false ) A ham response may also include the X-akismet-recheck-after header, like so: Array ( [0] => HTTP/1.1 200 OK Server: nginx Date: Mon, 24 Feb 2014 20:17:08 GMT Content-Type: text/plain; charset=utf-8 Connection: close X-akismet-recheck-after: 900 Content-length: 5 [1] => false ) If the X-akismet-recheck-after header is present, then Akismet is requesting that you check the comment again using the comment-check endpoint in that many seconds. In this example, the client would ideally submit the same comment-check request again in 900 seconds, or 15 minutes, with the additional parameter recheck_reason=recheck . Error response example If the call returns neither true nor false , the X-akismet-debug-help header will provide context for any error that has occurred. Note that the X-akismet-debug-help header will not always be sent if a response does not return false or true. Array ( [0] => HTTP/1.1 200 OK Server: nginx Date: Mon, 24 Feb 2014 16:34:54 GMT Content-Type: text/plain; charset=utf-8 Connection: close X-akismet-debug-help: We were unable to parse your blog URI Content-length: 7 [1] => invalid ) Testing your data It is important to test Akismet with a significant amount of real, live data in order to draw any conclusions on accuracy. Akismet works by comparing content to genuine spam activity happening right now (and this is based on more than just the content itself), so artificially generating spam comments is not a viable approach. We’re here to help If you ever get stuck or need help troubleshooting something, please don’t hesitate to contact us . Related Product Features Enterprise Pricing Resources Support Getting Started Blog Accessibility Developers Documentation API Status Legal Terms of Services Privacy Policy Do Not Sell or Share My Personal Information Privacy Notice for California Users en An medley Work With Us Press Subscribe Subscribed Akismet Join 173 other subscribers Sign me up Already have a WordPress.com account? Log in now. Akismet Subscribe Subscribed Sign up Log in Copy shortlink Report this content View post in Reader Manage subscriptions Collapse this bar | 2026-01-13T09:29:58 |
https://akismet.com/general/forgot-key/ | What if I forgot my API key? – Akismet Skip to content Features Enterprise Developers Pricing Resources Learn with Akismet Support Blog Accessibility Log in Get started Features Enterprise Developers Pricing Resources Learn with Akismet Support Blog Accessibility Log in Get started Getting Started Does Akismet only work with WordPress? What does Akismet protect? How do I activate the Akismet plugin? What’s an API key? How do I confirm Akismet is working? Use Akismet with your contact forms Should I choose a free or paid subscription? Akismet for nonprofit organizations Can I use an Akismet API key with another service? General Why do I need a WordPress.com account? How do I train Akismet to catch more spam? Why can’t Akismet connect to my server? What if I forgot my API key? Five things every blogger should know about spam Close comments on old posts Why is my API key suspended? Can Akismet check my old comments for spam? Akismet API Usage Limits Customization options for the Akismet front-end privacy notice Viewing your Advanced Stats data Auto-Activating and Configuring Akismet for WordPress (Standard and Multisite) How do I debug the Akismet plugin? Akismet: Unblocking a spam Features Viewing your Akismet stats data Billing & Payment How do I update my payment information? How do I purchase a new Akismet plan? How do I cancel my subscription? Do you accept PayPal? Can I receive a refund? Where can I find my receipt? Can I Get a VAT invoice? How do I add more sites to an existing plan? Why was I charged? Account Management How do I change my account email address? How do I log into my Akismet account? How do I reset or change my password? How your Akismet subscription works How do I remove inactive sites from my Akismet dashboard? Where is my email verification code? What if I forgot my API key? If you forgot or cannot find your API key, you can get it resent to your email address here: https://akismet.com/resend/ Enter the email address you used to sign up for Akismet in the box, and click “Continue”. Your API key will be sent to you. You can also view your API key on your account dashboard: https://akismet.com/account/ If you have general questions about Akismet, please contact us . Related Product Features Enterprise Pricing Resources Support Getting Started Blog Accessibility Developers Documentation API Status Legal Terms of Services Privacy Policy Do Not Sell or Share My Personal Information Privacy Notice for California Users en An medley Work With Us Press Subscribe Subscribed Akismet Join 173 other subscribers Sign me up Already have a WordPress.com account? Log in now. Akismet Subscribe Subscribed Sign up Log in Copy shortlink Report this content View post in Reader Manage subscriptions Collapse this bar | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_EC | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 2 | 2026-01-13T09:29:58 |
https://akismet.com/pricing?flow=upgrade | Pricing – Akismet Skip to content Features Enterprise Developers Pricing Resources Learn with Akismet Support Blog Accessibility Log in Get started Features Enterprise Developers Pricing Resources Learn with Akismet Support Blog Accessibility Log in Get started Commercial use Pro Most Popular Single-site use for professional or commercial sites and blogs. $ 9 .95 per month, billed yearly Get Pro Select your plan 500 spam calls/mo, up to 1 site 500 spam calls/mo, up to 1 site US$9.95 per month, billed yearly 1000 spam calls/mo, up to 2 sites US$19.90 per month, billed yearly 1500 spam calls/mo, up to 3 sites US$29.85 per month, billed yearly 2000 spam calls/mo, up to 4 sites US$39.80 per month, billed yearly One site For commercial sites Email support 500 monthly spam checks Business For large networks and multisite installations. $ 49 .95 per month, billed yearly Get Business Unlimited sites For commercial sites Priority email support 5000 monthly spam checks Large organizations Enterprise Tailored spam protection solutions for large businesses. Custom Not sure which plan fits your needs? Get a quote → Customize Enterprise Unlimited sites Dedicated support Custom spam check allowance Product Features Enterprise Pricing Resources Support Getting Started Blog Accessibility Developers Documentation API Status Legal Terms of Services Privacy Policy Do Not Sell or Share My Personal Information Privacy Notice for California Users en An medley Work With Us Press Subscribe Subscribed Akismet Join 173 other subscribers Sign me up Already have a WordPress.com account? Log in now. Akismet Subscribe Subscribed Sign up Log in Copy shortlink Report this content View post in Reader Manage subscriptions Collapse this bar | 2026-01-13T09:29:58 |
https://l.facebook.com/l.php?u=https%3A%2F%2Fwww.meta.com%2Fquest%2F&h=AT2f0BtqngkW-Uy60IhRAPm4eiEI75kk2w_CrLn7HLH18QBlJHr_tLEQBKJzWOHO9U0eLnxe7faAdwB_QaZAKK7ypOb7T16LkwYkEC5JczACnHYCTwwY2-AkyWiPFxOtngsbTsrGXjHOPKQ- | Facebook 취향 저격 콘텐츠를 만나는 곳 Facebook에 로그인 이메일 또는 휴대폰 번호 비밀번호 로그인 비밀번호를 잊으셨나요? 새 계정 만들기 한국어 English (US) Tiếng Việt Bahasa Indonesia ภาษาไทย Español 中文(简体) 언어 더 보기... 가입하기 로그인 Messenger Facebook Lite 동영상 Meta Pay Meta 스토어 Meta Quest Ray-Ban Meta Meta AI Meta AI 콘텐츠 더 보기 Instagram Threads 투표 정보 센터 개인정보처리방침 개인정보 보호 센터 정보 광고 만들기 페이지 만들기 개발자 채용 정보 쿠키 AdChoices 약관 고객 센터 연락처 업로드 및 비사용자 Meta © 2026 | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=it | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <pat | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=mn | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18 | 2026-01-13T09:29:58 |
https://akismet.com/billing/updating-payment-info/ | How do I update my payment information? – Akismet Skip to content Features Enterprise Developers Pricing Resources Learn with Akismet Support Blog Accessibility Log in Get started Features Enterprise Developers Pricing Resources Learn with Akismet Support Blog Accessibility Log in Get started Getting Started Does Akismet only work with WordPress? What does Akismet protect? How do I activate the Akismet plugin? What’s an API key? How do I confirm Akismet is working? Use Akismet with your contact forms Should I choose a free or paid subscription? Akismet for nonprofit organizations Can I use an Akismet API key with another service? General Why do I need a WordPress.com account? How do I train Akismet to catch more spam? Why can’t Akismet connect to my server? What if I forgot my API key? Five things every blogger should know about spam Close comments on old posts Why is my API key suspended? Can Akismet check my old comments for spam? Akismet API Usage Limits Customization options for the Akismet front-end privacy notice Viewing your Advanced Stats data Auto-Activating and Configuring Akismet for WordPress (Standard and Multisite) How do I debug the Akismet plugin? Akismet: Unblocking a spam Features Viewing your Akismet stats data Billing & Payment How do I update my payment information? How do I purchase a new Akismet plan? How do I cancel my subscription? Do you accept PayPal? Can I receive a refund? Where can I find my receipt? Can I Get a VAT invoice? How do I add more sites to an existing plan? Why was I charged? Account Management How do I change my account email address? How do I log into my Akismet account? How do I reset or change my password? How your Akismet subscription works How do I remove inactive sites from my Akismet dashboard? Where is my email verification code? How do I update my payment information? Note: Akismet uses WordPress.com user accounts for account management. In order to manage your Akismet plan, access Akismet billing information, or update Akismet payment methods, please log in using your WordPress.com account. If you have forgotten your WordPress.com account password, you can reset it here: https://wordpress.com/wp-login.php?action=lostpassword You can make changes to your Akismet billing settings, add and update payment methods by logging in to your Akismet account via WordPress.com. View and manage your payment methods To add or change payment methods for your Akismet plan, please follow these steps: First, log into your WordPress.com account: https://wordpress.com/me Go to your Purchases page . ( https://wordpress.com/me/purchases ) Click on Payment Methods . ( https://wordpress.com/me/purchases/payment-methods ) From there, you can delete existing payment methods, add new payment methods, assign a payment method to all of your plans, and assign a backup payment method. How to Add a New Payment Method Click the “ Add payment method ” button Fill in your payment details Choose whether to use this payment method for all your subscriptions by checking or unchecking the box labeled “ Use this payment method for all subscriptions on my account “ How to Set Up a Backup Payment Method For any existing payment method, check the box that says “ Use as backup “ This ensures that if your primary payment method fails, the system will automatically try your backup method(s) You can set multiple backup methods if needed Change or add a payment method to a specific plan If you would like to change/add the payment method for a specific plan, you can do so by: Go to https://wordpress.com/me/purchases . You should see a list of all of your active purchases. Click on the plan that you want to change/add the payment method on. Click Add payment method (or Change payment method if you have one already). Fill in the information. Optionally, you can also click the Use this payment method for all subscriptions on my account checkbox, and it will apply this new payment method to all of your plans. Manually renew a plan If you would like to manually renew a plan prior to it’s scheduled renewal, perhaps because you updated a payment method for the plan, you can do so by: Go to https://wordpress.com/me/purchases . You should see a list of all of your active purchases. Click on the plan that you want to change/add the payment method on. Or, in the Action column to the right, click the three dots which align with the plan and select “Manage Purchase.” Click the Renew Now button. You’ll be taken to the checkout page, where you can verify the correct payment method is selected, and complete the checkout. Payment methods For payment, we accept: All major credit and debit cards PayPal, in supported countries In some countries, we support additional local payment methods: Belgium: Bancontact China: Alipay, WeChat Pay Germany: Giropay The Netherlands: iDEAL Poland: Przelewy24 (P24) We cannot accept: Checks Cash Purchase or money orders Any payment that must be mailed Payment over the phone If you have general questions about Akismet, please contact us . Related Product Features Enterprise Pricing Resources Support Getting Started Blog Accessibility Developers Documentation API Status Legal Terms of Services Privacy Policy Do Not Sell or Share My Personal Information Privacy Notice for California Users en An medley Work With Us Press Subscribe Subscribed Akismet Join 173 other subscribers Sign me up Already have a WordPress.com account? Log in now. Akismet Subscribe Subscribed Sign up Log in Copy shortlink Report this content View post in Reader Manage subscriptions Collapse this bar | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=ka | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path | 2026-01-13T09:29:58 |
https://cursor.com/zh-Hant/careers/engineering-manager-devex#apply | Engineering Manager, DevEx - Cursor · Cursor 跳至內容 Cursor 功能 企業 定價 資源 ↓ 更新日誌 部落格 文件 ↗ 社群 學習 ↗ 工作坊 論壇 ↗ 職涯機會 功能 企業 定價 資源 → 登入 下載 Careers Engineering Manager, DevEx Engineering · Full-time · SF / NY Apply ↓ Role You will lead and contribute as a engineering manager on the DevEx team, helping build the systems, tools, and workflows that make every Cursor developer incredibly productive. Your team’s mission is to create a world-class developer experience inside Cursor: fast builds, intuitive tooling, reliable environments, and seamless CI/CD. You’ll design, build, and operate the foundations that power our engineering organization—from local development to global deployments. You’ll set technical direction, write and review code, and collaborate across teams to make it effortless for developers to build, test, and ship quickly. Excellence means Cursor engineers feel like they’re working in the best development environment in the world—one so effective that parts of it could eventually become external features of Cursor itself. Example projects... Building a multi-platform development environment that works seamlessly across macOS, Windows, and Linux. Designing and maintaining CI/CD systems—merge queues, build caching, flaky test quarantine, observability, and safe rollout pipelines. Automating developer machine provisioning—from laptop setup and reset automation to interview and onboarding workflows. Partnering with backend and infrastructure teams to ensure local testing and debugging “just work”, with full parity between development and CI environments. You might be a fit if you... Have experience leading developer productivity, platform, or infrastructure engineering teams, while remaining hands-on. Regularly write and review code, and enjoy improving build systems, scripting CI pipelines, and refining developer tooling. Have built and maintained tooling or infrastructure for large-scale or multi-language codebases. Care about developer velocity, reliability, and maintainability, and approach these with sound technical judgment. Are energized by improving feedback loops, and making development feel effortless, fast, and enjoyable. About Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truthseeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries. Applying If there appears to be a fit, we'll reach to schedule 2-3 interviews. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. Apply for this role Name * Email * Resume ↥ Upload file LinkedIn URL GitHub Profile Please write a short note on a project you're proud of: Submit application → 產品 功能 企業 Web Agents Bugbot CLI 定價 資源 下載 更新日誌 文件 ↗ 學習 ↗ 論壇 ↗ 狀態 ↗ 公司 職涯機會 部落格 社群 工作坊 學生 品牌 法律資訊 服務條款 隱私權政策 資料使用 安全性 連接 X ↗ LinkedIn ↗ YouTube ↗ © 2026 Cursor 🛡 SOC 2 認證 🌐 繁體中文 ↓ English 简体中文 日本語 繁體中文 ✓ 跳至內容 Cursor 功能 企業 定價 資源 ↓ 更新日誌 部落格 文件 ↗ 社群 學習 ↗ 工作坊 論壇 ↗ 職涯機會 功能 企業 定價 資源 → 登入 下載 Careers Engineering Manager, DevEx Engineering · Full-time · SF / NY Apply ↓ Role You will lead and contribute as a engineering manager on the DevEx team, helping build the systems, tools, and workflows that make every Cursor developer incredibly productive. Your team’s mission is to create a world-class developer experience inside Cursor: fast builds, intuitive tooling, reliable environments, and seamless CI/CD. You’ll design, build, and operate the foundations that power our engineering organization—from local development to global deployments. You’ll set technical direction, write and review code, and collaborate across teams to make it effortless for developers to build, test, and ship quickly. Excellence means Cursor engineers feel like they’re working in the best development environment in the world—one so effective that parts of it could eventually become external features of Cursor itself. Example projects... Building a multi-platform development environment that works seamlessly across macOS, Windows, and Linux. Designing and maintaining CI/CD systems—merge queues, build caching, flaky test quarantine, observability, and safe rollout pipelines. Automating developer machine provisioning—from laptop setup and reset automation to interview and onboarding workflows. Partnering with backend and infrastructure teams to ensure local testing and debugging “just work”, with full parity between development and CI environments. You might be a fit if you... Have experience leading developer productivity, platform, or infrastructure engineering teams, while remaining hands-on. Regularly write and review code, and enjoy improving build systems, scripting CI pipelines, and refining developer tooling. Have built and maintained tooling or infrastructure for large-scale or multi-language codebases. Care about developer velocity, reliability, and maintainability, and approach these with sound technical judgment. Are energized by improving feedback loops, and making development feel effortless, fast, and enjoyable. About Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truthseeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries. Applying If there appears to be a fit, we'll reach to schedule 2-3 interviews. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. Apply for this role Name * Email * Resume ↥ Upload file LinkedIn URL GitHub Profile Please write a short note on a project you're proud of: Submit application → 產品 功能 企業 Web Agents Bugbot CLI 定價 資源 下載 更新日誌 文件 ↗ 學習 ↗ 論壇 ↗ 狀態 ↗ 公司 職涯機會 部落格 社群 工作坊 學生 品牌 法律資訊 服務條款 隱私權政策 資料使用 安全性 連接 X ↗ LinkedIn ↗ YouTube ↗ © 2026 Cursor 🛡 SOC 2 認證 🌐 繁體中文 ↓ English 简体中文 日本語 繁體中文 ✓ | 2026-01-13T09:29:58 |
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https://nginx.org/ | nginx Confused between ingress-nginx and NGINX Ingress Controller ? Learn about our long-term commitment to the NGINX Ingress Controller and Gateway API implementation. Read the Blog . english русский news about download security documentation faq books community enterprise community forum (new) x.com blog njs ingress controller gateway fabric nginx nginx (" engine x ") is an HTTP web server, reverse proxy, content cache, load balancer, TCP/UDP proxy server, and mail proxy server. Originally written by Igor Sysoev and distributed under the 2-clause BSD License . Enterprise distributions, commercial support and training are available from F5, Inc. Docs • Code • Install • Beginner's Guide Latest News 2025-12-23 nginx-1.28.1 stable version has been released. 2025-12-09 nginx-1.29.4 mainline version has been released, featuring HTTP/2 to backend and Encrypted ClientHello support. 2025-11-18 nginx-acme-0.3.0 version has been released . 2025-10-28 nginx-1.29.3 mainline version has been released. Older news Other NGINX Projects NGINX JavaScript (njs) extends nginx functionality with an ECMAScript-compatible interpreter for HTTP and Stream modules. Docs • Code NGINX Ingress Controller connects Kubernetes apps and services with rock solid request handling, auth, self-service CRDs, and easy debugging. Docs • Code NGINX Gateway Fabric provides L4 and L7 routing capabilities in Kubernetes, implementing the Gateway API using NGINX as the data plane. Docs • Code | 2026-01-13T09:29:58 |
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Tom Parry Save Battle Lines x Global Health Security podcast Advertisement Opinion and analysis Patricia Miranda Foreign aid is in freefall – but wealthy nations can still help fill widening finance gaps Save Ibrahima Socé Fall To stop disease X, we must invest in African health Save Jeremy Konyndyk Seven common tropes used to deny Gaza’s famine, debunked by an expert Save Eddie Chaloner How Ukraine rehabilitates its war wounded will define it as a nation Save Long reads The high-tech hunt for H5N1 and Disease X From coop to cave Sarah Newey Save Sierra Leone’s terrifying mpox outbreak Inside the Red Zone Arthur Scott-Geddes Save ‘We lost our limbs fighting for Ukraine – now we make prosthetics for other war amputees’ Maimed heroes Verity Bowman Save Inside the rebel hospitals keeping Myanmar’s revolution alive A health system in collapse Sarah Newey Save The deadly, delicate art of clearing landmines ‘A first mistake is a last mistake’ Rachel Hagan Save Filipino lawman offers bounty for mosquitoes behind dengue outbreak Wanted dead or alive Sarah Newey Save ‘It’s a death sentence’: the families scraping a living in the dirt Uganda’s new gold rush Sophie Neiman Save Life in the shadow of a toxic mountain of plastic waste Scavenging for survival Tom Parry Save The USAID controversy explained ‘Panic, fear and confusion’ Ben Farmer Save The battle to save Bangladesh’s child brides ‘They marry off girls because they are a burden’ Tom Parry Save Hunt for tech-industry minerals reignites conflict in central Africa The rise of ‘blood minerals’ Ben Farmer Save How one doctor helped uncover the origin of the DRC’s outbreak Mpox patient zero Sarah Newey Save Children reduced to skin and bones in war-torn wasteland Sudan’s forgotten famine Lilia Sebouai Save An invisible threat lurking in the water is slowly destroying these women’s lives Bangladesh’s deadly deltas Tom Parry Save How extreme wildfires became the rule – not the exception Fire weather Arthur Scott-Geddes Save Why the world is under attack from respiratory viruses HMPV, RSV, H5N1 Arthur Scott-Geddes Save Drought and dams push Iraq’s marshes to the edge of extinction ‘We’re just like fish: no water, no life’ Azhar Al-Ruabie Save Beach goers warned to watch out for seals infected with deadly virus Rabid seas Ben Farmer Save Advertisement Conflict and security Aid groups urge Britain to act now on Sudan Lilia Sebouai Save Air strike on hospital kills at least 30 in Myanmar Sarah Newey Save One in six exposed to ‘conflict’ around the world, says report. But is Islington really as bad as Gaza? Meike Eijsberg Save Climate emergency Climate inaction ‘costing millions of lives’ each year Lilia Sebouai Save Water from brine: How the Gulf states are making the desert bloom Samaan Lateef Save Peruvian farmer takes on German coal giant to save his town from a melting glacier Simeon Tegel Save More on... Global Health Security: About this site Science & Disease Climate & People Terror & Security Women & Girls Opinion & Analysis Advertisement Galleries A story of sudden displacement: Sudan’s war through the eyes of a child Save Fathers, brothers and sons fight for women’s safety in Sierra Leone Henry Jay Kamara Save Flight to salvation: Inside the rescue mission plucking Gaza’s wounded from a war zone Paolo Pellegrin Save Global Health Security latest Amazon healthcare delves deep into the jungle’s ‘medicine cabinet’ Simeon Tegel 13 Jan 2026, 8:00am Copper for HIV drugs: Inside Trump’s new aid trade Ben Farmer 10 Jan 2026, 12:00pm We’re under attack from winter bugs – here’s how to protect yourself Lilia Sebouai 9 Jan 2026, 4:19pm Aid groups urge Britain to act now on Sudan Lilia Sebouai 9 Jan 2026, 12:01am Shrubs, shamans and love stones: why the WHO has gone Goopy for traditional medicine Maeve Cullinan 8 Jan 2026, 6:00am Superbug fears as new drug-resistant strains of typhoid emerge in Asia Verity Bowman 7 Jan 2026, 12:00pm The injured Ukrainian soldiers taking up tattooing as a form of therapy Kang-Chun Cheng 7 Jan 2026, 6:00am Dozens dead in South Africa circumcision initiation rite Ben Farmer 6 Jan 2026, 4:13pm Drones are saving snakebite victims in Ghana – but only when the mobile signal works Michael Sarpong Mfum 6 Jan 2026, 6:00am Sphere of influence: Why China is forcing Myanmar’s brutal junta to stage a pantomime election Sarah Newey 5 Jan 2026, 4:29pm ‘We couldn’t find her’: Mothers abandon their children in refugee camp Richard Assheton 5 Jan 2026, 12:00pm Inside the covert mission to save Filipino children from British paedophiles Joseph Watt 31 Dec 2025, 1:58pm Pagination Previous Next Global Health Security The latest news, features and analysis on global health security from The Telegraph The Telegraph Back to top Follow us on: Facebook icon Instagram icon X icon Snapchat icon LinkedIn icon YouTube icon Download the Telegraph App Recommended Podcasts Syndication and Commissioning Help Centre Betting Branded Content Privacy Reader Prints Theatre Tickets Careers About us Announcements Puzzles Guidelines Terms & Conditions Newsletters Crosswords Tax Strategy Advertising terms Subscribe Cryptic Crossword Modern Slavery Subscription Terms & Conditions Gift Subscriptions Plusword The Chelsea Magazine Company © Telegraph Media Group Holdings Limited 2026 | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_MX | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:58 |
https://www.telegraph.co.uk/news/uk/ | UK news: Latest stories & updates - The Telegraph Jump to content UK News Website of the Year 2024 Search Icon News Sport Business Money Travel Calculators Opinion Ukraine Health Recommended Lifestyle Culture Christmas Charity Appeal Puzzles Podcasts UK Edition US Edition Search Icon Subscribe now Log in See all News UK news UK news home Scotland Wales Northern Ireland Politics Conservatives Labour Lib Dems Reform UK SNP US politics World US News Europe Middle East Asia Australasia Africa South America Donald Trump Health news Defence Science Education Environment Investigations Investigations home Signals Network Contact us Global Health Security Global Health Security home Climate & People Science & Disease Terror & Security Women & Girls Opinion & Analysis Royals King Charles III Queen Camilla Prince William Princess of Wales Prince Harry Duchess of Sussex Sections UK Edition US Edition News News home UK news Politics World Donald Trump Health news Defence Science Education Environment Investigations Global Health Security Royals Sport Sport home Football Rugby Union Cricket Golf F1 Tennis Racing Women's Sport Cycling Boxing Betting More... Business Business home Economy Companies Markets Tech Money Money home Property Tax Pensions Banking Investing Net Zero Calculators Guides Travel Travel home Europe UK Worldwide City breaks Hotels Cruise Ski Advice Calculators Opinion Opinion home Obituaries Letters to the Editor Telegraph View Our columnists Cartoons Ukraine Ukraine home Daily podcast Weekly newsletter Health Health home Diet Fitness Conditions Wellbeing Parenting Guides Tools Recommended Recommended home Home Garden Sleep Tech Health & Fitness Beauty & Grooming Travel & Outdoors Parenting Lifestyle Lifestyle home Recipes Food & Drink Fashion Beauty Luxury Cars Gardening Culture Culture home TV Film Music Books Theatre Comedy Dance Opera Classical Art Telegraph Tickets Christmas Charity Appeal Puzzles Podcasts UK Edition US Edition Subscribe now Log in Login icon Follow us on: Facebook icon Instagram icon X icon Snapchat icon LinkedIn icon YouTube icon More from The Telegraph Download our app Help and support Newsletters Recommended Financial Solutions Events Dating Offers Travel offers Shop Garden shop Bookshop Tickets Puzzles Fantasy Football Work at The Telegraph Telegraph Corporate Announcements The Chelsea Magazine Company Voucher codes See top shops Samsung Nike ASOS eBay Currys Wayfair TUI JD Sports Travelodge Adidas Pupils vote to rename Samuel Pepys house over writer’s ‘abuse of women’ Save Mandelson apologises ‘unequivocally’ to Epstein victims Save Anne Boleyn painting ‘is actually Elizabeth I’, claims historian Save Telegraph View Phillipson’s educational vandalism Save Pro-Palestine protesters plotted to spy on Maccabi players Save Net zero costs will be worse than feared, report finds Save More stories BBC tries to throw out Trump’s $10bn editing scandal lawsuit Save Driver who blamed his electric car for killing five-year-old is cleared Save Average pay for top university chiefs passes £350k Save Why a business rates U-turn won’t save our pubs Save Hermer ‘paved the way for payout to Guantanamo terror suspect’ Save Lords issue rare rebuke over Chagos Islands deal Save Tim Stanley Zahawi almost pulled off a PR coup... but unfortunately for him, there’s Google Save Advertisement Reeves ‘misled public’ over pub tax raid Save Silkie Carlo A social media ban for youngsters won’t actually work, but it will destroy vital freedoms Save New traffic lights to slow speeding cyclists on route where pensioner was killed Save Emma Armstrong I am homeschooling my kids after my experience of being a teacher in our broken system Save Uncovered: Secret room beneath Chinese embassy that poses threat to City Save Russian shadow fleet ships could be seized by British forces Save Nightwatchman murder files sealed after 60 years despite killer never being caught Save Pagination Previous Next UK news Find all the latest news and updates from stories around the UK. Including politics, transport, education, health and religion. The Telegraph Back to top Follow us on: Facebook icon Instagram icon X icon Snapchat icon LinkedIn icon YouTube icon Download the Telegraph App Recommended Podcasts Syndication and Commissioning Help Centre Betting Branded Content Privacy Reader Prints Theatre Tickets Careers About us Announcements Puzzles Guidelines Terms & Conditions Newsletters Crosswords Tax Strategy Advertising terms Subscribe Cryptic Crossword Modern Slavery Subscription Terms & Conditions Gift Subscriptions Plusword The Chelsea Magazine Company © Telegraph Media Group Holdings Limited 2026 | 2026-01-13T09:29:58 |
https://cursor.com/zh-Hant/careers/engineering-manager-devex#main | Engineering Manager, DevEx - Cursor · Cursor 跳至內容 Cursor 功能 企業 定價 資源 ↓ 更新日誌 部落格 文件 ↗ 社群 學習 ↗ 工作坊 論壇 ↗ 職涯機會 功能 企業 定價 資源 → 登入 下載 Careers Engineering Manager, DevEx Engineering · Full-time · SF / NY Apply ↓ Role You will lead and contribute as a engineering manager on the DevEx team, helping build the systems, tools, and workflows that make every Cursor developer incredibly productive. Your team’s mission is to create a world-class developer experience inside Cursor: fast builds, intuitive tooling, reliable environments, and seamless CI/CD. You’ll design, build, and operate the foundations that power our engineering organization—from local development to global deployments. You’ll set technical direction, write and review code, and collaborate across teams to make it effortless for developers to build, test, and ship quickly. Excellence means Cursor engineers feel like they’re working in the best development environment in the world—one so effective that parts of it could eventually become external features of Cursor itself. Example projects... Building a multi-platform development environment that works seamlessly across macOS, Windows, and Linux. Designing and maintaining CI/CD systems—merge queues, build caching, flaky test quarantine, observability, and safe rollout pipelines. Automating developer machine provisioning—from laptop setup and reset automation to interview and onboarding workflows. Partnering with backend and infrastructure teams to ensure local testing and debugging “just work”, with full parity between development and CI environments. You might be a fit if you... Have experience leading developer productivity, platform, or infrastructure engineering teams, while remaining hands-on. Regularly write and review code, and enjoy improving build systems, scripting CI pipelines, and refining developer tooling. Have built and maintained tooling or infrastructure for large-scale or multi-language codebases. Care about developer velocity, reliability, and maintainability, and approach these with sound technical judgment. Are energized by improving feedback loops, and making development feel effortless, fast, and enjoyable. About Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truthseeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries. Applying If there appears to be a fit, we'll reach to schedule 2-3 interviews. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. Apply for this role Name * Email * Resume ↥ Upload file LinkedIn URL GitHub Profile Please write a short note on a project you're proud of: Submit application → 產品 功能 企業 Web Agents Bugbot CLI 定價 資源 下載 更新日誌 文件 ↗ 學習 ↗ 論壇 ↗ 狀態 ↗ 公司 職涯機會 部落格 社群 工作坊 學生 品牌 法律資訊 服務條款 隱私權政策 資料使用 安全性 連接 X ↗ LinkedIn ↗ YouTube ↗ © 2026 Cursor 🛡 SOC 2 認證 🌐 繁體中文 ↓ English 简体中文 日本語 繁體中文 ✓ 跳至內容 Cursor 功能 企業 定價 資源 ↓ 更新日誌 部落格 文件 ↗ 社群 學習 ↗ 工作坊 論壇 ↗ 職涯機會 功能 企業 定價 資源 → 登入 下載 Careers Engineering Manager, DevEx Engineering · Full-time · SF / NY Apply ↓ Role You will lead and contribute as a engineering manager on the DevEx team, helping build the systems, tools, and workflows that make every Cursor developer incredibly productive. Your team’s mission is to create a world-class developer experience inside Cursor: fast builds, intuitive tooling, reliable environments, and seamless CI/CD. You’ll design, build, and operate the foundations that power our engineering organization—from local development to global deployments. You’ll set technical direction, write and review code, and collaborate across teams to make it effortless for developers to build, test, and ship quickly. Excellence means Cursor engineers feel like they’re working in the best development environment in the world—one so effective that parts of it could eventually become external features of Cursor itself. Example projects... Building a multi-platform development environment that works seamlessly across macOS, Windows, and Linux. Designing and maintaining CI/CD systems—merge queues, build caching, flaky test quarantine, observability, and safe rollout pipelines. Automating developer machine provisioning—from laptop setup and reset automation to interview and onboarding workflows. Partnering with backend and infrastructure teams to ensure local testing and debugging “just work”, with full parity between development and CI environments. You might be a fit if you... Have experience leading developer productivity, platform, or infrastructure engineering teams, while remaining hands-on. Regularly write and review code, and enjoy improving build systems, scripting CI pipelines, and refining developer tooling. Have built and maintained tooling or infrastructure for large-scale or multi-language codebases. Care about developer velocity, reliability, and maintainability, and approach these with sound technical judgment. Are energized by improving feedback loops, and making development feel effortless, fast, and enjoyable. About Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truthseeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries. Applying If there appears to be a fit, we'll reach to schedule 2-3 interviews. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team. Apply for this role Name * Email * Resume ↥ Upload file LinkedIn URL GitHub Profile Please write a short note on a project you're proud of: Submit application → 產品 功能 企業 Web Agents Bugbot CLI 定價 資源 下載 更新日誌 文件 ↗ 學習 ↗ 論壇 ↗ 狀態 ↗ 公司 職涯機會 部落格 社群 工作坊 學生 品牌 法律資訊 服務條款 隱私權政策 資料使用 安全性 連接 X ↗ LinkedIn ↗ YouTube ↗ © 2026 Cursor 🛡 SOC 2 認證 🌐 繁體中文 ↓ English 简体中文 日本語 繁體中文 ✓ | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=gsw | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M | 2026-01-13T09:29:58 |
https://akismet.com/it/developers/iniziare/ | Comincia ora – Akismet Vai al contenuto Funzionalità Enterprise Sviluppatori Prezzi Risorse Impara con Akismet Supporto Blog Accessibilità Accedi Comincia ora Funzionalità Enterprise Sviluppatori Prezzi Risorse Impara con Akismet Supporto Blog Accessibilità Accedi Comincia ora Comincia ora Plugin e librerie Documentazione dettagliate Crea la tua applicazione Verifica della chiave Controllo dei commenti Invia spam (spam non identificato) Invia non spam (falsi positivi) Attività chiave/sito Limite di utilizzo Codici di errore di risposta Errore Akismet #30001 Errore Akismet #10404 Errore Akismet #10403 Errore Akismet #10402 Errore Akismet #10011 Errore Akismet #10010 Errore Akismet #10009 Errore Akismet #10006 Errore Akismet #10005 Errore Akismet #10003 Errore Akismet #10001 Comincia ora Se stai sviluppando un’applicazione e vuoi integrare l’eccezionale protezione spam di Akismet, sei nel posto giusto. 1. Ottieni una chiave Prima di tutto, devi registrarti per ottenere una chiave Akismet. Questo ti dà accesso alla nostra API e ci permette di monitorare i risultati per assicurarci che tutto funzioni al meglio. Ottieni una chiave API Akismet 2. Seleziona il tipo di integrazione Puoi iniziare da zero o risparmiare un po’ di tempo usando una classe o libreria creata da altri sviluppatori. Abbiamo anche una specifica OpenAPI che puoi usare per generare la tua libreria. Usa una libreria Scegli tra PHP, Ruby, Python e altro ancora. Queste librerie fanno il lavoro duro al posto tuo. Integrazione personalizzata Crea la tua integrazione personalizzata in base alle specifiche esigenze della tua applicazione. Correlati Prodotto Funzionalità Enterprise Prezzi Risorse Supporto Sviluppatori Documentazione Stato API Legale Termini di servizio Informativa sulla privacy Non vendere o condividere le mie informazioni personali Nota sulla privacy per utenti in California it An medley Work With Us Abbonati Abbonato Akismet Registrami Hai già un account WordPress.com? Accedi ora. Akismet Abbonati Abbonato Registrati Accedi Copia shortlink Segnala questo contenuto Visualizza articolo nel Reader Gestisci gli abbonamenti Riduci la barra | 2026-01-13T09:29:58 |
https://akismet.com/es/developers/empezando/ | Primeros pasos – Akismet Ir directamente al contenido Funcionalidades Enterprise Desarrolladores Precios Recursos Aprende con Akismet Atención al cliente Blog Accesibilidad Iniciar sesión Comenzar Funcionalidades Enterprise Desarrolladores Precios Recursos Aprende con Akismet Atención al cliente Blog Accesibilidad Iniciar sesión Comenzar Primeros pasos Plugins y bibliotecas Documentación detallados Crea tu aplicación Verificación de clave Comprobación de comentarios Envío de spam (spam no detectado) Envío de falsos positivos Actividad de la clave y los sitios Límite de uso Códigos de error de respuesta Error #30001 de Akismet Error #10404 de Akismet Error #10403 de Akismet Error #10402 de Akismet Error #10011 de Akismet Error #10010 de Akismet Error #10009 de Akismet Error #10006 de Akismet Error #10005 de Akismet Error #10003 de Akismet Error #10001 de Akismet Primeros pasos Si estás desarrollando una aplicación web y te gustaría integrar la protección contra el spam de más alto nivel de Akismet, has venido al lugar adecuado. 1. Hazte con una clave Primero tendrás que registrarte para conseguir una clave de Akismet. Esto te dará acceso a nuestra API y nos permitirá monitorizar los resultados para asegurarnos de que todo funcione de la mejor manera posible. Consigue una clave de API de Akismet 2. Elige el tipo de integración Puedes empezar desde cero o empezar rápidamente con una clase o biblioteca ya existente creada por otros desarrolladores. También tenemos una especificación OpenAPI que puedes usar para generar tu propia biblioteca. Usar una biblioteca Elige entre PHP, Ruby o Python, entre otras. Estas bibliotecas hacen el trabajo duro por ti. Integración personalizada Crea tu propia integración según las necesidades específicas de tu aplicación. Relacionado Producto Funcionalidades Enterprise Precios Recursos Atención al cliente Desarrolladores Documentación Estado de la API Legal Condiciones de servicio Política de privacidad No vendas ni compartas mi información personal Aviso de privacidad para usuarios de California es Un popurrí Work With Us Suscribirse Suscrito Akismet Suscríbeme ¿Ya tienes una cuenta de WordPress.com? Inicia sesión . Akismet Suscribirse Suscrito Regístrate Iniciar sesión Copiar enlace corto Denunciar este contenido Ver la entrada en el Lector Gestionar las suscripciones Contraer esta barra | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=fil | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:58 |
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https://play.google.com/store/apps/details?id=notion.id&hl=es_HN | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L | 2026-01-13T09:29:58 |
https://l.facebook.com/l.php?u=https%3A%2F%2Fwww.meta.com%2Fsmart-glasses%2F&h=AT1IKEBFl8fROTwrN0KI9ERREHHPSVmjcqNDbtIDQ_rJ_9DUbksxKD0zvDbtIuTpTCn747HOyeMxmzeQB8ZIt_CUIx5T0mAxThEzu0BAnhA5CAoTOijv7a6gfcmPe9muQth57hrAbfe3XudZ | Facebook Facebook 이메일 또는 휴대폰 비밀번호 계정을 잊으셨나요? 새 계정 만들기 일시적으로 차단됨 일시적으로 차단됨 회원님의 이 기능 사용 속도가 너무 빠른 것 같습니다. 이 기능 사용에서 일시적으로 차단되었습니다. Back 한국어 English (US) Tiếng Việt Bahasa Indonesia ภาษาไทย Español 中文(简体) 日本語 Português (Brasil) Français (France) Deutsch 가입하기 로그인 Messenger Facebook Lite 동영상 Meta Pay Meta 스토어 Meta Quest Ray-Ban Meta Meta AI Meta AI 콘텐츠 더 보기 Instagram Threads 투표 정보 센터 개인정보처리방침 개인정보 보호 센터 정보 광고 만들기 페이지 만들기 개발자 채용 정보 쿠키 AdChoices 이용 약관 고객 센터 연락처 업로드 및 비사용자 설정 활동 로그 Meta © 2026 | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=et | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 21 | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_PA | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=fa | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18. | 2026-01-13T09:29:58 |
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https://play.google.com/store/apps/details?id=notion.id&hl=es_AR | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d= | 2026-01-13T09:29:58 |
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https://learn.deeplearning.ai/courses/nvidia-nat-making-agents-reliable | Nvidia’s NeMo Agent Toolkit: Making Agents Reliable - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to this course on Nvidia's NeMo Agent Toolkit, which will show you how to harden your agent for production. This course is built in partnership with Nvidia and is taught by Brian McBrayer, who is Solutions Architect in Generative AI at Nvidia. One problem that many of us face is how to take that demo that works maybe 60% of the time and turn into something reliable that you can safely deploy to users. Nvidia's open source NeMo Agent Toolkit or NAT gives key tools for doing so. Specifically, NAT makes it easy for you to add observability to build and repeatedly run evals and also deploy your agentic workflow. Maybe you've already built an agentic workflow in raw Python or using a framework like LangGraph or Crew AI. You can then integrate NAT to get observability to see what your agent workflow is doing. For example, if your agent occasionally calls the wrong tool, NAT will show you execution traces so you can actually see what's going on. In addition, NAT makes it easy for you to set up and run evals in a disciplined way. This is very helpful if you want to run maybe a CI/CD process or if you just want to drive a systematic process for improving your agent's performance. In this course, you will learn NAT by building an agent to analyze climate data. You'll start by registering Python functions as tools to add more functionality to your agent. Agents reason in natural language, so without the right tools, it's hard to know why they made certain decisions. You'll use OpenTelemetry tracing, visualized in Phoenix, to see exactly how your agent reasons, which tools it considers and what choices it makes. You'll also evaluate performance over time, so when you adjust a prompt or change a model, you'll know whether it actually helped. NAT works directly with frameworks you already use, LangChain, Crew AI, or your own custom code. So, finally, you'll expand the climate analyzer agent to a multi-agent workflow where specialized agents built with frameworks like LangGraph collaborate on different aspects of climate analysis. Deploying agents introduces so many complexities. You need an API endpoint, authentication, rate limiting. Suddenly you're writing infrastructure code instead of working on your agents. And all of these problems reappear anytime you want to iterate on the models you're using, or the prompts you're passing in. Through several labs in the course, you will learn how NAT makes AI agents ready for production. Many people have worked to create this course. I'd like to thank from NVIDIA, Josh Wyatt, Michael Demoret, and Bartley Richardson. And from DeepLearning.AI, Summer Rae, Esmaeil Gargari, and Brendan Brown. In the first lesson, you build your first agent in NAT, connect it to an API endpoint and see it working in real time. Let's go on to the next video to get started. course detail Next Lesson Nvidia’s NeMo Agent Toolkit: Making Agents Reliable Introduction Video ・ 3 mins Overview of NAT Video ・ 10 mins Your First NAT Workflow Video with Code Example ・ 9 mins Adding Intelligence with Tools Video with Code Example ・ 16 mins Observability with Phoenix Tracing Video with Code Example ・ 7 mins Multi-Agent Integration Adding Math Video with Code Example ・ 10 mins Evaluation Finding and Fixing Bugs with NAT Eval Video with Code Example ・ 7 mins Production Deployment with NAT UI Video with Code Example ・ 4 mins Conclusion Video ・ 1 min Quiz Graded ・Quiz ・ 10 mins Accomplishment Course Info | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/courses/building-coding-agents-with-tool-execution | Building Coding Agents with Tool Execution - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to Building Coding Agents with Tool Execution, both in partnership with E2B and taught by Tereza Tizkova and Francesco Zuppichinni. In this course, you learn how to build agents that can generate and execute code as part of how they get the work done. Many of us will predefine some set of functions that we give to, say, an LLM to call. But rather than using only a predefined small set of functions, if you instead let your LLM or your agent write and execute arbitrary Python code. then has access to every built-in Python function or can even ask to install common Python packages and call functions from that. This really opens up the space of what an agent can now do. Also, instead of sequentially making function calls one at a time, which is common in LLM tool use for slightly more complex tasks, your agent can now also just write a huge chunk of code. and efficiently execute a long sequence of operations, and this too makes it more capable. But running code generated by an LLM on your local machine can be unsafe. What if the code does something it isn't supposed to? Once, a highly agentic coding tool deleted one of my team members' important project files. And another did a flawed database migration that deleted production data. Thankfully, we had backups. But to run generated code safely, a good practice is to run that code inside a sandbox environment so that the code execution is isolated from your system. Thanks Andrew. In this course, we will start by breaking down what an AI coding agent really is and how it differs from other AI agents. You will learn how an LLM can reason step-by-step, decide which tool to call, execute code, and use the result to plan its next action. And then, you'll build your own agent capable of running Python code, reading and writing files and iterating through tasks until it reaches a final answer. We'll discuss how to manage the context window, handle errors, and retries. Once you understand how an agent thinks and acts, you'll explore different environments like local execution, containers, and secure sandboxed microVMs. And you will learn how to choose the right one. depending on your use case. You'll learn how to create and manage sandboxes, run code remotely in different languages and interact with the sandbox file system. So your agent will be able to use uploaded dataset, save outputs and even create and host small web application. You build a data analyst agent that explores CSV files with pandas and generates clear visualization. And in a final lesson, we'll create a full-stack agent that edits multiple files and builds a working Next.JS web app inside the sandbox. To keep your agent focused even across large, multifile projects, we'd also discuss managing long context through runtime summarization. Many people have worked to create this course. I'd like to thank Jakub Dobry from E2B and from DeepLearning.AI, Esmaeil Gargari also contributed to this course. The first lesson will introduce you to the inner workings of coding agents, as well as some challenges in building them. So, let's go on to the next video and get started. course detail Next Lesson Building Coding Agents with Tool Execution Introduction Video ・ 3 mins Inside a Coding Agent Video ・ 8 mins Your First Coding Agent Video with Code Example ・ 10 mins Tool Execution Environments Video ・ 5 mins Running Code in the Cloud Video with Code Example ・ 7 mins Data Analyst Agent Video with Code Example ・ 4 mins Full Stack Agent Video with Code Example ・ 8 mins Hands-On Project Introduction Video Video ・ 6 mins Hands-On Project (Optional) Code Example ・ 15 mins Conclusion Video ・ 1 min Quiz Graded ・Quiz ・ 12 mins Accomplishment Course Info | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_US | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/courses/build-with-andrew | Build with Andrew - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Hi, I'm Andrew Ng. I want to show you how to build fun, useful software using AI, regardless of your background or training. If you're intrigued about using AI or vibe coding to build cool software, or aren't sure where to start, this course is for you. Let me show you a funny birthday card app that you learn to build in minutes using ChatGPT, Gemini, or any other similar AI system, even if you've never written a line of code before. This birthday card app is a computer program called a web application, which means that it runs right in your web browser. The app takes whatever you type in and creates a custom card for you on the spot. In the next lesson, you build your own version by describing what you want the AI to do, and the AI will write all the code for you. To use the app, you enter a name, an age, a hobby, penguin fashion design, an adjective, suspiciously fun, and the plural noun, lucky socks. Then hit Generate Card, and it says, Karen, against all odds, you've turned 27. Your devotion to penguin fashion design, this stuff of legends, and your suspiciously fun nature, iconic. Statistically speaking, most people like you. I think that's pretty funny. Or if I don't feel like filling in all of these words myself, I can hit I'm feeling lucky, and have this fill in automatically, and then generate a different card. And there's another birthday card. And you get a different funny story, or a different funny birthday card this time. Notice the app stores all the cards we've generated. If I click copy on any of them, the birthday message goes to my clipboard, so I can paste the message into an email or text, and send it as a birthday card. You might be excited to jump right in, and start building out your own idea. And if so, that's great. And before doing that, spending a little time building this birthday card app yourself will help a lot. Doing so will give you a better feel for how to talk to the AI, and actually get the results you want. And this practice process will build your intuition for how to shape what the AI actually creates, and you get a better sense of how even small tweaks can lead to very different outcomes. Once these set of concepts become a bit more familiar to you, building your own ideas will become faster and easier, because you have a better sense of how to steer the process. So an app like this might seem complicated to build, but in the next video, I'll show you how you can build something like this in minutes. Let's go on to the next video. course detail Next Lesson Build with Andrew Creating an app with AI Video ・ 2 mins Telling AI what you want Video ・ 10 mins Telling AI what you want [chatbot] Reading with AI Assistant ・ 5 mins Download and open your app Reading ・ 2 mins Customize your app Video ・ 6 mins Customize your app [chatbot] Reading with AI Assistant ・ 5 mins Now you can build more apps Video ・ 2 mins Now you can build more apps [chatbot] Reading with AI Assistant ・ 5 mins You're a builder now! Video ・ 3 mins Build your final project [chatbot] Reading with AI Assistant ・ 15 mins Submit your final project Graded ・Code Assignment ・ 2 mins Course Quiz Graded ・Quiz ・ 10 mins More DLAI courses to try! Reading ・ 2 mins Join the DeepLearning.AI Forum Reading ・ 2 mins Acknowledgments Reading ・ 1 min Certificate Course Info | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/courses/nvidia-nat-making-agents-reliable | Nvidia’s NeMo Agent Toolkit: Making Agents Reliable - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to this course on Nvidia's NeMo Agent Toolkit, which will show you how to harden your agent for production. This course is built in partnership with Nvidia and is taught by Brian McBrayer, who is Solutions Architect in Generative AI at Nvidia. One problem that many of us face is how to take that demo that works maybe 60% of the time and turn into something reliable that you can safely deploy to users. Nvidia's open source NeMo Agent Toolkit or NAT gives key tools for doing so. Specifically, NAT makes it easy for you to add observability to build and repeatedly run evals and also deploy your agentic workflow. Maybe you've already built an agentic workflow in raw Python or using a framework like LangGraph or Crew AI. You can then integrate NAT to get observability to see what your agent workflow is doing. For example, if your agent occasionally calls the wrong tool, NAT will show you execution traces so you can actually see what's going on. In addition, NAT makes it easy for you to set up and run evals in a disciplined way. This is very helpful if you want to run maybe a CI/CD process or if you just want to drive a systematic process for improving your agent's performance. In this course, you will learn NAT by building an agent to analyze climate data. You'll start by registering Python functions as tools to add more functionality to your agent. Agents reason in natural language, so without the right tools, it's hard to know why they made certain decisions. You'll use OpenTelemetry tracing, visualized in Phoenix, to see exactly how your agent reasons, which tools it considers and what choices it makes. You'll also evaluate performance over time, so when you adjust a prompt or change a model, you'll know whether it actually helped. NAT works directly with frameworks you already use, LangChain, Crew AI, or your own custom code. So, finally, you'll expand the climate analyzer agent to a multi-agent workflow where specialized agents built with frameworks like LangGraph collaborate on different aspects of climate analysis. Deploying agents introduces so many complexities. You need an API endpoint, authentication, rate limiting. Suddenly you're writing infrastructure code instead of working on your agents. And all of these problems reappear anytime you want to iterate on the models you're using, or the prompts you're passing in. Through several labs in the course, you will learn how NAT makes AI agents ready for production. Many people have worked to create this course. I'd like to thank from NVIDIA, Josh Wyatt, Michael Demoret, and Bartley Richardson. And from DeepLearning.AI, Summer Rae, Esmaeil Gargari, and Brendan Brown. In the first lesson, you build your first agent in NAT, connect it to an API endpoint and see it working in real time. Let's go on to the next video to get started. course detail Next Lesson Nvidia’s NeMo Agent Toolkit: Making Agents Reliable Introduction Video ・ 3 mins Overview of NAT Video ・ 10 mins Your First NAT Workflow Video with Code Example ・ 9 mins Adding Intelligence with Tools Video with Code Example ・ 16 mins Observability with Phoenix Tracing Video with Code Example ・ 7 mins Multi-Agent Integration Adding Math Video with Code Example ・ 10 mins Evaluation Finding and Fixing Bugs with NAT Eval Video with Code Example ・ 7 mins Production Deployment with NAT UI Video with Code Example ・ 4 mins Conclusion Video ・ 1 min Quiz Graded ・Quiz ・ 10 mins Accomplishment Course Info | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/courses/multi-vector-image-retrieval | Multi-vector Image Retrieval - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to Multi-vector Image Retrieval, built in partnership with Qdrant. In this course, you'll learn how multi-vector image retrieval works and best practices for using it in your AI applications. For a long time, it was easiest to give LLMs access to only text data, but that leaves a lot of useful information inaccessible because it's stored in images and other forms of multimodal data. This course focuses on a collection of image retrieval techniques called Multi-vector. In contrast, standard vector retrieval works by representing each document or image with a single large vector. An image is retrieved if their vector is a good match for a query. Multi-vector techniques use many smaller vectors to represent the meaning of, say, smaller patches of an image. storing this detailed vector information then allows for fine-grained matching between the tokens in the text query and the image patches that make up your image or document. This approach to provide high quality image search that works well even on complex documents that combine text, images, slides, and storing all this vector data does lead to challenges with memory usage and search. But some new techniques address these problems and you'll explore these solutions as well in this course. To help you to understand these Multi-vector image retrieval techniques, I'm delighted to introduce your instructor for this course, Kacper Łukawski, who is an experienced AI engineer and a developer advocate for the vector database company Qdrant. Thanks, Andrew. You will first learn the fundamentals of multi-vector retrieval by seeing how it works for text. Then, you will see how this approach is adapted for image retrieval by a model called ColPali, and some techniques for optimizing its performance. Finally, you will explore how an approach called MUVERA aims to combine the best qualities of multi-vector and single-vector image retrieval. You will learn the foundational concepts underlying each method. and then we'll implement them inside of a functioning multimodal RAG system. You can expect a nice blend of conceptual and practical topics throughout this course. There's been a lot of excitement around the industry about image retrieval broadly and specifically multi-vector techniques. Most of the LLMs that people are using today are actually VLMs or vision language models. They are just as capable of processing images as text. The challenge has been building system that can accurately and efficiently retrieve image data to take advantage of that capability. The techniques in this course, like ColPali or MUVERA, are finally doing that. I really think this is the future of this field. and that will see it powering many exciting applications in the coming years. Many people have worked to create this course. From DeepLearning.AI, GT Wrobel contributed to its development. In the first lesson, you get familiar with multi-vector retrieval by getting hands on with ColBERT, which is a widely used multi-vector approach for text retrieval. Join Kacper in the next video, and let's get started. course detail Next Lesson Multi-vector Image Retrieval Introduction Video ・ 3 mins Multi-vector Text Retrieval: ColBERT Video with Code Example ・ 17 mins Multi-vector Image Retrieval: ColPali Video with Code Example ・ 15 mins Optimizing retrieval with multi vector representations Video with Code Example ・ 15 mins MUVERA Embeddings Video with Code Example ・ 18 mins Building multi-modal RAG with ColPali Video with Code Example ・ 11 mins Conclusion Video ・ 1 min Optional: Hands-On Project Code Example ・ 10 mins Quiz Graded ・Quiz ・ 10 mins Accomplishment Course Info | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/courses/multi-vector-image-retrieval | Multi-vector Image Retrieval - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to Multi-vector Image Retrieval, built in partnership with Qdrant. In this course, you'll learn how multi-vector image retrieval works and best practices for using it in your AI applications. For a long time, it was easiest to give LLMs access to only text data, but that leaves a lot of useful information inaccessible because it's stored in images and other forms of multimodal data. This course focuses on a collection of image retrieval techniques called Multi-vector. In contrast, standard vector retrieval works by representing each document or image with a single large vector. An image is retrieved if their vector is a good match for a query. Multi-vector techniques use many smaller vectors to represent the meaning of, say, smaller patches of an image. storing this detailed vector information then allows for fine-grained matching between the tokens in the text query and the image patches that make up your image or document. This approach to provide high quality image search that works well even on complex documents that combine text, images, slides, and storing all this vector data does lead to challenges with memory usage and search. But some new techniques address these problems and you'll explore these solutions as well in this course. To help you to understand these Multi-vector image retrieval techniques, I'm delighted to introduce your instructor for this course, Kacper Łukawski, who is an experienced AI engineer and a developer advocate for the vector database company Qdrant. Thanks, Andrew. You will first learn the fundamentals of multi-vector retrieval by seeing how it works for text. Then, you will see how this approach is adapted for image retrieval by a model called ColPali, and some techniques for optimizing its performance. Finally, you will explore how an approach called MUVERA aims to combine the best qualities of multi-vector and single-vector image retrieval. You will learn the foundational concepts underlying each method. and then we'll implement them inside of a functioning multimodal RAG system. You can expect a nice blend of conceptual and practical topics throughout this course. There's been a lot of excitement around the industry about image retrieval broadly and specifically multi-vector techniques. Most of the LLMs that people are using today are actually VLMs or vision language models. They are just as capable of processing images as text. The challenge has been building system that can accurately and efficiently retrieve image data to take advantage of that capability. The techniques in this course, like ColPali or MUVERA, are finally doing that. I really think this is the future of this field. and that will see it powering many exciting applications in the coming years. Many people have worked to create this course. From DeepLearning.AI, GT Wrobel contributed to its development. In the first lesson, you get familiar with multi-vector retrieval by getting hands on with ColBERT, which is a widely used multi-vector approach for text retrieval. Join Kacper in the next video, and let's get started. course detail Next Lesson Multi-vector Image Retrieval Introduction Video ・ 3 mins Multi-vector Text Retrieval: ColBERT Video with Code Example ・ 17 mins Multi-vector Image Retrieval: ColPali Video with Code Example ・ 15 mins Optimizing retrieval with multi vector representations Video with Code Example ・ 15 mins MUVERA Embeddings Video with Code Example ・ 18 mins Building multi-modal RAG with ColPali Video with Code Example ・ 11 mins Conclusion Video ・ 1 min Optional: Hands-On Project Code Example ・ 10 mins Quiz Graded ・Quiz ・ 10 mins Accomplishment Course Info | 2026-01-13T09:29:58 |
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Transparence de la chaîne d'approvisionnement Plan du site © Cisco Systems Inc. | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/courses/building-coding-agents-with-tool-execution | Building Coding Agents with Tool Execution - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to Building Coding Agents with Tool Execution, both in partnership with E2B and taught by Tereza Tizkova and Francesco Zuppichinni. In this course, you learn how to build agents that can generate and execute code as part of how they get the work done. Many of us will predefine some set of functions that we give to, say, an LLM to call. But rather than using only a predefined small set of functions, if you instead let your LLM or your agent write and execute arbitrary Python code. then has access to every built-in Python function or can even ask to install common Python packages and call functions from that. This really opens up the space of what an agent can now do. Also, instead of sequentially making function calls one at a time, which is common in LLM tool use for slightly more complex tasks, your agent can now also just write a huge chunk of code. and efficiently execute a long sequence of operations, and this too makes it more capable. But running code generated by an LLM on your local machine can be unsafe. What if the code does something it isn't supposed to? Once, a highly agentic coding tool deleted one of my team members' important project files. And another did a flawed database migration that deleted production data. Thankfully, we had backups. But to run generated code safely, a good practice is to run that code inside a sandbox environment so that the code execution is isolated from your system. Thanks Andrew. In this course, we will start by breaking down what an AI coding agent really is and how it differs from other AI agents. You will learn how an LLM can reason step-by-step, decide which tool to call, execute code, and use the result to plan its next action. And then, you'll build your own agent capable of running Python code, reading and writing files and iterating through tasks until it reaches a final answer. We'll discuss how to manage the context window, handle errors, and retries. Once you understand how an agent thinks and acts, you'll explore different environments like local execution, containers, and secure sandboxed microVMs. And you will learn how to choose the right one. depending on your use case. You'll learn how to create and manage sandboxes, run code remotely in different languages and interact with the sandbox file system. So your agent will be able to use uploaded dataset, save outputs and even create and host small web application. You build a data analyst agent that explores CSV files with pandas and generates clear visualization. And in a final lesson, we'll create a full-stack agent that edits multiple files and builds a working Next.JS web app inside the sandbox. To keep your agent focused even across large, multifile projects, we'd also discuss managing long context through runtime summarization. Many people have worked to create this course. I'd like to thank Jakub Dobry from E2B and from DeepLearning.AI, Esmaeil Gargari also contributed to this course. The first lesson will introduce you to the inner workings of coding agents, as well as some challenges in building them. So, let's go on to the next video and get started. course detail Next Lesson Building Coding Agents with Tool Execution Introduction Video ・ 3 mins Inside a Coding Agent Video ・ 8 mins Your First Coding Agent Video with Code Example ・ 10 mins Tool Execution Environments Video ・ 5 mins Running Code in the Cloud Video with Code Example ・ 7 mins Data Analyst Agent Video with Code Example ・ 4 mins Full Stack Agent Video with Code Example ・ 8 mins Hands-On Project Introduction Video Video ・ 6 mins Hands-On Project (Optional) Code Example ・ 15 mins Conclusion Video ・ 1 min Quiz Graded ・Quiz ・ 12 mins Accomplishment Course Info | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/courses/machine-learning-in-production | Machine Learning in Production - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. 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Start Learning close Course Syllabus close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Hi and welcome to Machine Learning Engineering 4 production. A lot of learners have asked me, hey Andrew, I've learned to train a machine learning model, now what do I do? Machine learning models are great, but unless you know how to put them into production, it's hard to get them to create the maximum amount of possible value. Or for those of you that may be looking for a position in machine learning, many interviewers will ask, have you ever deployed a machine learning algorithm in production? In this four course specialization, the first course taught by me, the second, third, and fourth courses taught by Robert Crowe, who's an expert at this from Google, we hope to share with you the practical hands-on skills and techniques you need to not just build a machine learning model, but also to put them into production. And so by the end of this first course, and by the end of this specialization, I hope you have a good sense of the entire life cycle of machine learning project, from training a model to putting into production, and really how to manage the entire machine learning project. Let's jump in. Let's start with an example. Let's say you're using computer vision to inspect phones coming off the manufacturing line to see if there are defects on them. So this phone shown on the left doesn't have any scratches on it, but if there was a scratch or crack or something, a computer vision algorithm would hopefully be able to find this type of scratch or defect and maybe put a bounding box around it as part of quality control. If you get a data set of scratched phones, you can train a computer vision algorithm, maybe a neural network, to detect these types of defects. But what do you now need to do in order to put this into production deployment? This would be an example of how you could deploy a system like this. You might have an edge device. By edge device, I mean a device that is living inside the factory that is manufacturing these smartphones, and that edge device would have a piece of inspection software whose job it is to take a picture of the phone, see if there's a scratch, and then make a decision on whether this phone is acceptable or not. This is actually commonly done in factories. This is called automated visual defect inspection. What the inspection software does is it will control a camera that will take a picture of the smartphone as it rolls off the manufacturing line, and it then has to make an API call to pass this picture to a prediction server, and the job of the prediction server is to accept these API calls, receive an image, make a decision as to whether or not this phone is defective, and return this prediction, and then the inspection software can make the appropriate control decision whether to let this phone move on in the manufacturing line or whether to shove it to the side because it was defective and not acceptable. After you have trained a learning algorithm, maybe trained a neural network, to take as input x pictures of phones and map them to y, predictions about whether the phone is defective or not, you still have to take this machine learning model, put it in a prediction server, set up API interfaces, and really write all of the rest of the software in order to deploy this learning algorithm into production. This prediction server is sometimes in the cloud, and sometimes the prediction server is actually at the edge as well. In fact, in manufacturing, we use edge deployments a lot because you can't have your factory go down every time your internet access goes down, but cloud deployments with prediction server as a server in the cloud is also used for many applications. Let's say you write all the software. What could possibly go wrong? It turns out that just because you've trained a learning algorithm that does well on your test set, which is to be celebrated, it's great when you do well on your whole test set. Unfortunately, reaching that milestone doesn't mean you're done. There can still be quite a lot of work and challenges ahead to get a valuable production deployment running. For example, let's say your training set has images that look like this. There's a good phone on the left, the one in the middle has a big scratch across it, and you've trained your learning algorithm to recognize that phones like this on the left are okay, meaning there are no defects, and maybe draw bounding boxes around scratches or other defects it finds in phones. When you deploy it in the factory, you may find that the real-life production deployment gives you back images like this, much darker ones, because the lighting conditions in the factory have changed for some reason compared to the time when the training set was collected. This problem is sometimes called concept drift or data drift. You'll learn more about these terms later in this week, but this is one example of the many practical problems that we as machine learning engineers should step up to solve if we want to make sure that we don't just do well on the whole test set, but that our systems actually create value in a practical production deployment environment. I've worked on quite a few projects where my machine learning team and I would successfully nail a proof of concept, and by that I mean we train a model in a Jupyter notebook and it will work great, and we will celebrate that. You should celebrate it when you have a learning algorithm work well in a Jupyter notebook or in a development environment. But it turns out that sometimes I'll see many projects where that success, which is a great success, to the practical deployment is still maybe another six months of work, and this is just one of many of the practical things that a machine learning team has to watch out for and handle in order to actually deploy these systems. Some machine learning engineers will say it's not a machine learning problem to address these problems. You know, the data set changes. Some machine learning engineers think, well, is that a machine learning problem? My point of view is that our job is to make these things work, and so if the data set has changed, I think of it as my responsibility when I work on a project to step in and do what I can to address the data distribution as it is rather than as I wish it is. A second challenge of deploying machine learning models in production is that it takes a lot more than machine learning code. Over the last decade, there's been a lot of attention on machine learning models, so your neural network or other algorithm that learns a function mapping from some input to some output, and there's been amazing progress in machine learning models. But it turns out that if you look at a machine learning system in production, if this little orange rectangle represents the machine learning code, the machine learning model code, then this is all the code you need for the entire machine learning project. I feel like for many machine learning projects, maybe only 5 to 10 percent, maybe even less of the code is machine learning code, and I think this is one of the reasons why when you have a proof of concept model working, maybe in Jupyter Notebook, it can still be a lot of work to go from that initial proof of concept to the production deployment. So sometimes people refer to the POC or the proof of concept to production gap, and a lot of that gap is sometimes just the sheer amount of work it is to also write all of this code out here beyond the initial machine learning model code. So what is all this other stuff? This is a diagram that I've adapted from a paper by Dee Scully and others. Beyond the machine learning code, there are also many components, especially components for managing the data, such as data collection, data verification, feature extraction, and after you are serving it, how to monitor the system, monitor the data comes back, helps you analyze it, but there are often many other components that need to be built to enable a working production deployment. So in this course, you learn what are all of these other pieces of software needed for a valuable production deployment. But rather than looking at all of these complex pieces, one of the most useful frameworks I found for organizing the workflow of a machine learning project is to systematically plan out the life cycle of a machine learning project. Let's go to the next video to dive in to what is the full life cycle of a machine learning project, and I hope this framework will be very useful for all of your machine learning projects that you plan to deploy in the future. Let's go to the next video. course detail Machine Learning in Production Week 1 Week 1: Overview of the ML Lifecycle and Deployment Week 2: Modeling Challenges and Strategies Week 3: Data Definition and Baseline Next Lesson Course Syllabus Week 1: Overview of the ML Lifecycle and Deployment The Machine Learning Project Lifecycle Welcome Video ・ 9 mins Steps of an ML Project Video ・ 3 mins Case study: speech recognition Video ・ 12 mins Course outline Video ・ 2 mins Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas! Reading ・ 2 mins The Machine Learning Project Lifecycle Graded ・Quiz ・ 10 mins Deployment Key challenges Video ・ 14 mins Deployment patterns Video ・ 11 mins Monitoring Video ・ 10 mins Pipeline monitoring Video ・ 9 mins Deployment Graded ・Quiz ・ 10 mins Week 1 Optional References Reading ・ 3 mins Lecture Notes (Optional) Lecture Notes Week 1 Reading ・ 1 min Ungraded Lab Deploying a Deep Learning model Code Example ・ 30 mins Deploying a deep learning model with Docker and a cloud service (optional) Code Example ・ 1 hour Next Week 2: Modeling Challenges and Strategies Certificate Course Info | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_PE | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18.18 | 2026-01-13T09:29:58 |
https://www.notion.com/ar/product/ai | تعرَّف على ميزة Notion AI الجديدة | Notion Notion الميزات Notion AI إنشاء، كتابة، أتمتة الوكلاء يتعامل مع المهام اليدوية بحث المؤسسة اعثر على إجابات على الفور ملاحظات الاجتماع المدعومة بالذكاء الاصطناعي مكتوبة بشكل مثالي بواسطة الذكاء الاصطناعي المُستندات بسيط وقوي قاعدة المعرفة تجميع معرفتك في مكان واحد المشاريع إدارة أي مشروع المواقع انشر أي شيء بسرعة البدء استكشاف حالات استخدام الذكاء الاصطناعي تعرّف على قدرات Notion AI تصفح السوق قوالب لكل شيء عرض عمليات التكامل ربط تطبيقاتك مع Notion تنزيل web clipper حفظ من الويب إلى Notion جرّب تطبيق Notion لسطح المكتب للحصول على تجربة أسرع تنزيل التطبيق البريد التقويم الذكاء الاصطناعي الخطة المؤسسية التسعير استكشاف الفرق الهندسة والمنتج التصميم التسويق تقنية المعلومات حجم الفريق الشركات الناشئة الشركات الصغيرة والمتوسطة المؤسسة التعليم التعلم مركز المساعدة أكاديمية Notion قصص العملاء المدونة المجتمع برامج الشركاء الإصدار واجهة برمجة التطبيقات (API) القوالب الأمان الاستشاريون اطلب عرضاً توضيحياً تسجيل الدخول احصل على Notion مجاناً مساحة عمل مدعومة بالذكاء الاصطناعي تناسب احتياجاتك. ذكاء اصطناعي شامل لتدوين الملاحظات، والبحث في التطبيقات، وإنشاء مهام سير العمل، مباشرةً من مكان عملك. احصل على Notion مجاناً اطلب عرضاً توضيحياً تثق به الفرق في تشغيل عذراً، يبدو أن أداة حظر الإعلانات تمنع تشغيل الفيديو. تطبيقك الشامل المدعوم بالذكاء الاصطناعي. ربيع عام 2024 ذكاء اصطناعي شامل، بتسعير موحّد. البدء الآن ← هل لديك عدد كبير من أدوات الذكاء الاصطناعي؟ احسب المدخرات المحتملة هنا. البحث باستخدام الذكاء الاصطناعي السعر 35 $ لكل مستخدم روبوت دردشة مدعوم بالذكاء الاصطناعي السعر 20 $ لكل مستخدم ملاحظات الاجتماع المدعومة بالذكاء الاصطناعي السعر 18 $ لكل مستخدم مساعد الكتابة المدعوم بالذكاء الاصطناعي السعر 20 $ لكل مستخدم تطبيق بريد إلكتروني مدعوم بالذكاء الاصطناعي السعر 30 $ لكل مستخدم أبحاث مدعومة بالذكاء الاصطناعي السعر 40 $ لكل مستخدم جدولة التقويم السعر 15 $ لكل مستخدم موسوعة الفريق السعر 10 $ لكل مستخدم أداة إدارة المشروع السعر 24 $ لكل مستخدم إدارة علاقات العملاء الأساسية السعر 20 $ لكل مستخدم أداة إنشاء المواقع السعر 20 $ لكل مستخدم النماذج السعر 15 $ لكل مستخدم حجم الفريق التوفير الشهري ٠ US$ التوفير السنوي ٠ US$ Notion Agent القادر على الإنشاء والتحرير واتخاذ الإجراءات. تتوقف معظم أدوات الذكاء الاصطناعي عند توليد الأفكار، أما Notion AI فيكمل العمل حتى النهاية. يحترم الأذونات المخصصة مخصص ليلائم احتياجاتك يتصل بالأدوات عبر MCP أنشئ وكلاء مخصصين لأتمتة مهام سير العمل المحددة (قريباً) الاشتراك لمعرفة المزيد ← تعرّف على إمكانات Notion AI استكشاف جميع حالات الاستخدام ← تحويل الأفكار إلى خارطة طريق استكشف ← حوّل الاجتماعات إلى منشورات يمكن استخدامها على وسائل التواصل الاجتماعي استكشف ← مراجعة الصفحة المقصودة استكشف ← لا داعي لانتظار الردود بعد اليوم. اسأل Notion AI فقط. يوفّر البحث على مستوى المؤسسة الإجابات في ثوانٍ معرفة المزيد ← اربط تطبيقاتك احصل على الإجابات من مستندات Notion (وملفات PDF أيضاً!) الدردشة مع GPT-4.1 وClaude 4 والمزيد أنشئ مستندات مفصلة باستخدام وضع البحث تكمن القوة في وجود منصة واحدة يمكنك من خلالها إنجاز كل أعمالك. Notion هي تلك المنصة الواحدة. Nick Erdenberger، مسؤول إستراتيجيات دخول السوق محرّر المستندات، والمترجم، ومسجّل الملاحظات الخاص بك. امنح فريقك ذاكرة مثالية، مع ملاحظات الاجتماع المدعومة بالذكاء الاصطناعي معرفة المزيد ← أنشئ المستندات وعدّلها بأسلوبك الخاص ترجم المستندات إلى لغتك المفضلة أنشئ المخططات الانسيابية والرسوم البيانية التعبئة التلقائية لقواعد البيانات بالملخصات والرؤى الأداة الأكثر سلاسة وعملية للذكاء الاصطناعي التوليدي للنص التي استخدمتها حتى الآن. أليكس هيث، نائب رئيس التحرير يتعامل مع بياناتك بسرية تامة. موثوق به من قِبل المؤسسات. تعرَّف على المزيد عن ممارسات أمان Notion AI ← لن تُستخدم بياناتك في التدريب لدينا اتفاقيات تعاقدية مع معالجي الذكاء الاصطناعي الفرعيين تمنعهم من استخدام بيانات العملاء لتدريب نماذجهم. تشفير آمن عند استخدام Notion AI، يتم تشفير بياناتك أثناء النقل باستخدام TLS 1.2 أو أعلى. أذونات متقدمة حدّد الأشخاص الذين لديهم الصلاحية لأداء مهام معينة أو إنشاء أشياء محددة، بدقة متناهية. اللائحة العامة لحماية البيانات (GDPR) وقانون خصوصية المستهلك في كاليفورنيا (CCPA) قمنا بمواءمة برنامج الخصوصية لدينا مع اللائحة العامة لحماية البيانات (GDPR) وغيرها من لوائح الخصوصية العالمية. SOC 2 (النوع 2) يشهد تقريرنا أن سياساتنا وضوابطنا الأمنية تلبي باستمرار أعلى معايير الصناعة. ISO 27001 حصلت شركة Notion على شهادة ISO 27001، وهو ما يثبت مدى التزامنا بأعلى متطلبات أمن المعلومات. تحسين نماذج اللغة الكبيرة (LLM) تُقيِّم Notion باستمرار النماذج المقدمة من مجموعة من المزوّدين، لتضمن لك دائماً أفضل أداة لإنجاز عملك. أدوات الأمان والإدارة حافظ على أمان مساحة عملك باستخدام أدوات الأمان والامتثال والتحليلات والتدقيق. عدم الاحتفاظ بالبيانات لا يتم تخزين أي بيانات لدى مزوّدي نماذج اللغة الكبيرة، ويتم الاحتفاظ بالبيانات لمدة 30 يوماً لمستخدمي الخطط غير المخصصة للمؤسسات فقط. أسئلة وأجوبة كم تبلغ تكلفة Notion AI؟ يتضمَّن سعر خطة الأعمال والخطة المؤسسية في Notion ميزة Notion AI. أما إذا لم تكن تستخدم إحدى هاتين الخطتين، فستتوفر لمساحة العمل لديك كمية محدودة من الاستخدام التجريبي لوظائف Notion AI. كيف يستخدم Notion AI بياناتي؟ نلتزم بممارسات حماية البيانات القياسية للحفاظ على تشفير بياناتك وسريتها. لن يستخدم Notion AI بياناتك لتدريب نماذجه ما لم توافق صراحةً على طلب مشاركة بياناتك. ستتم مشاركة أي معلومات تُستخدم لتشغيل Notion AI مع معالجي الذكاء الاصطناعي الفرعيين لغرض وحيد هو تزويدك بميزات Notion AI. كما أنه لدينا اتفاقيات تعاقدية مع هؤلاء المعالجين الفرعيين تمنعهم من استخدام بيانات العملاء في تدريب نماذجهم. يمكنك معرفة المزيد حول ممارسات الأمان والخصوصية في Notion AI من هنا. بماذا يمكن أن يساعدني Notion AI؟ يساعدك Notion AI في إنجاز عملك، ضمن الأداة ذاتها التي تعمل عليها. يمكنه مساعدتك في ما يلي: البحث عبر مساحة العمل والتطبيقات المتصلة أتمتة ملاحظات الاجتماعات وتفريغ المحادثات إجراء أبحاث شاملة لإنشاء مستندات وتقارير تفصيلية إنشاء المحتوى وتحريره ملء المحتوى تلقائياً عبر مئات الصفوف في قاعدة البيانات دفعة واحدة ترجمة المحتوى إلى لغتك إنشاء إعداد قاعدة بيانات جديدة من الصفر فرز وتصفية صندوق بريدك الوارد (Notion Mail AI) لضمان الأداء المثالي والاستخدام العادل لجميع مستخدمي Notion AI، قد يتم تقليل مستوى الوصول إلى ميزات الذكاء الاصطناعي مؤقتاً بناءً على مستوى استخدامك. كيف يمكنني معرفة المزيد عن Notion AI؟ اطّلع على أكاديمية Notion أو مركز المساعدة للحصول على أفكار ونصائح حول كيفية دمج Notion AI في مهام سير عملك اليومية. العربية إعدادات ملفات تعريف الارتباط © 2026 Notion Labs, Inc. الشركة نبذة عنا الوظائف الأمان الحالة الشروط والخصوصية حقوقك المتعلقة بالخصوصية تنزيل iOS وAndroid Mac وWindows التقويم Web Clipper الموارد مركز المساعدة التسعير المدونة المجتمع عمليات التكامل القوالب برامج الشركاء Notion لأجل الخطة المؤسسية الشركات الصغيرة شخصي استكشف المزيد → | 2026-01-13T09:29:58 |
https://infisical.com/docs/integrations/platforms/certificate-agent#concept | Infisical Agent - Infisical Skip to main content Infisical home page Search... ⌘ K Ask AI Log In Start for Free Start for Free Search... Navigation Infrastructure Integrations Infisical Agent Platform Products CLI Reference API Reference SDKs Changelog Certificate Management Overview Concepts Guides Product Reference Certificate Authorities Certificates Enrollment Methods Alerting Infrastructure Integrations Infisical Agent Kubernetes cert-manager Gloo Mesh Windows Server Nginx Apache Server Tomcat JBoss/WildFly Certificate Syncs Overview AWS Certificate Manager AWS Secrets Manager Azure Key Vault Chef External CA Integrations ACME-compatible CA Let's Encrypt DigiCert Microsoft AD CS On this page Concept Workflow Operating the Agent Authentication Agent Configuration Agent Execution Agent Certificate Configuration Parameters Post-Event Hooks Retrying mechanism Example Agent Configuration Files One-Time Certificate Issuance One-Time Certificate Issuance using a Pre-Generated CSR Certificate Issuance with Automatic Renewal Infrastructure Integrations Infisical Agent Learn how to use Infisical CLI Agent to manage certificates automatically. Concept The Infisical Agent is a client daemon that is packaged into the Infisical CLI . It can be used to request a certificate from Infisical using the API enrollment method configured on a certificate profile , persist it to a specified path on the filesystem, and automatically monitor and renew it before expiration. The Infisical Agent is notable: Automating certificate management: The agent can request, persist, monitor, and renew certificates from Infisical automatically without manual intervention. It also supports post-event hooks to execute custom commands after certificate issuance, renewal, or failure events. Leveraging workload identity: The agent can authenticate with Infisical as a machine identity using an infrastructure-native authentication method such as AWS Auth , Azure Auth , GCP Auth , Kubernetes Auth , etc. The typical workflow for using the agent involves installing the Infisical CLI on the target machine, creating a configuration file defining the certificate to request and how it should be managed, and then starting the agent with that configuration so it can request, persist, monitor, and renew the certificate before it expires. This follows a client-driven approach to certificate renewal. Workflow A typical workflow for using the Infisical Agent to request certificates from Infisical consists of the following steps: Create a certificate profile in Infisical with the API enrollment method configured on it. Install the Infisical CLI on the target machine. Create an agent configuration file containing details about the certificate to request and how it should be managed such as renewal thresholds, post-event hooks, etc. Start the agent with that configuration so it can request, persist, monitor, and going forward automatically renew the certificate before it expires on the target machine. Operating the Agent This section describes how to use the Infisical Agent to request certificates from Infisical. It covers how the agent authenticates with Infisical, and how to configure it to start requesting certificates from Infisical. Authentication The Infisical Agent can authenticate with Infisical as a machine identity using one of its supported authentication methods. Upon successful authentication, the agent receives a short-lived access token that it uses to make subsequent authenticated requests to obtain and renew certificates from Infisical; the agent automatically handles token renewal as documented here . Universal Auth The Universal Auth method uses a client ID and secret for authentication. 1 Create a universal auth machine identity To create a universal auth machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the auth method and credentials: Copy Ask AI auth : type : "universal-auth" config : client-id : "./client-id" # Path to file containing client ID client-secret : "./client-secret" # Path to file containing client secret remove-client-secret-on-read : false # Optional: remove secret file after reading You can also provide credentials directly: Copy Ask AI auth : type : "universal-auth" config : client-id : "your-client-id" client-secret : "your-client-secret" Kubernetes Auth The Kubernetes Auth method is used when running the agent in a Kubernetes environment. 1 Create a Kubernetes machine identity To create a Kubernetes machine identity, follow the step by step guide outlined here . 2 Configure the agent Configure the agent to use Kubernetes service account authentication: Copy Ask AI auth : type : "kubernetes-auth" config : identity-id : "your-kubernetes-identity-id" service-account-token-path : "/var/run/secrets/kubernetes.io/serviceaccount/token" Azure Auth The Azure Auth method is used when running the agent in an Azure environment. 1 Create an Azure machine identity To create an Azure machine identity, follow the step by step guide outlined here . 2 Configure the agent Configure the agent to use Azure managed identity authentication: Copy Ask AI auth : type : "azure-auth" config : identity-id : "your-azure-identity-id" Native GCP ID Token The Native GCP ID Token method is used to authenticate with Infisical when running in a GCP environment. 1 Create a GCP machine identity To create a GCP machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the specified auth method and identity ID: Copy Ask AI auth : type : "gcp-id-token" config : identity-id : "your-gcp-identity-id" GCP IAM The GCP IAM method is used to authenticate with Infisical with a GCP service account key. 1 Create a GCP machine identity To create a GCP machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the specified auth method, identity ID, and service account key: Copy Ask AI auth : type : "gcp-iam" config : identity-id : "your-gcp-identity-id" service-account-key : "/path/to/service-account-key.json" Native AWS IAM The AWS IAM method is used to authenticate with Infisical with an AWS IAM role while running in an AWS environment. 1 Create an AWS machine identity To create an AWS machine identity, follow the step by step guide outlined here . 2 Configure the agent Update the agent configuration file with the specified auth method and identity ID: Copy Ask AI auth : type : "aws-iam" config : identity-id : "your-aws-identity-id" Agent Configuration The Infisical Agent relies on a YAML configuration file to define its behavior, including how it should authenticate with Infisical, the certificate it should request, and how that certificate should be managed including auto-renewal. The code snippet below shows an example configuration file that instructs the agent to request and continuously renew a certificate from Infisical. Note that not all configuration options in this file are required but this example includes all of the available options. example-cert-agent-config.yaml Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" attributes : common-name : "api.example.com" alt-names : [ "api.example.com" , "api-v2.example.com" ] ttl : "90d" key-algorithm : "RSA_2048" signature-algorithm : "RSA-SHA256" key-usages : - "digital_signature" - "key_encipherment" extended-key-usages : - "server_auth" # Enable automatic certificate renewal lifecycle : renew-before-expiry : "30d" status-check-interval : "6h" # Configure where to store the issued certificate and its associated private key and certificate chain file-output : private-key : path : "/etc/ssl/private/web.key" permission : "0600" # Read/write for owner only certificate : path : "/etc/ssl/certs/web.crt" permission : "0644" # Read for all, write for owner chain : path : "/etc/ssl/certs/web-chain.crt" permission : "0644" # Read for all, write for owner omit-root : true # Exclude the root CA certificate in chain # Configure custom commands to execute after certificate issuance, renewal, or failure events post-hooks : on-issuance : command : | echo "Certificate issued for ${CERT_COMMON_NAME}" systemctl reload nginx timeout : 30 on-renewal : command : | echo "Certificate renewed for ${CERT_COMMON_NAME}" systemctl reload nginx timeout : 30 on-failure : command : | echo "Certificate operation failed: ${ERROR_MESSAGE}" mail -s "Certificate Alert" [email protected] < /dev/null timeout : 30 To be more specific, the configuration file instructs the agent to: Authenticate with Infisical using the Universal Auth authentication method. Request a 90-day certificate against the certificate profile named prof-web-server-12345 with the common name web.company.com and the subject alternative names web.company.com and www.company.com . Automatically renew the certificate 30 days before expiration by checking the certificate status every 6 hours and retrying up to 3 times with a base delay of 200ms and a maximum delay of 5s if the certificate status check fails. Store the certificate and its associated private key and certificate chain (excluding the root CA certificate) in the filesystem at the specified paths with the specified permissions. Execute custom commands after certificate issuance, renewal, or failure events such as reloading an nginx service or sending an email notification. Agent Execution After creating the configuration file, you can run the command below with the --config flag pointing to the path where the agent configuration file is located. Copy Ask AI infisical cert-manager agent --config /path/to/your/agent-config.yaml This will start the agent as a daemon process, continuously monitoring and managing certificates according to your configuration. You can also run it in the foreground for debugging: Copy Ask AI infisical cert-manager agent --config /path/to/your/agent-config.yaml --verbose For production deployments, you may consider running the agent as a system service to ensure it starts automatically and runs continuously. Agent Certificate Configuration Parameters The table below provides a complete list of parameters that can be configured in the certificate configuration section of the agent configuration file: Parameter Required Description profile-name Yes The name of the certificate profile to request a certificate against (e.g., web-server-12345 ) project-slug Yes The slug of the project to request a certificate against (e.g., my-project-slug ) common-name Optional The common name for the certificate (e.g. www.example.com ) alt-names Optional The list of subject alternative names for the certificate (e.g., ["www.example.com", "api.example.com"] ) ttl Optional (uses profile default if not specified) The time-to-live duration for the certificate, specified as a duration string (e.g. 72h , 90d , 1y , etc.) key-algorithm Optional The algorithm for the certificate key pair. One of: RSA_2048 , RSA_3072 , RSA_4096 , EC_prime256v1 , EC_secp384r1 , EC_secp521r1 . signature-algorithm Optional The algorithm used to sign the certificate. One of: RSA-SHA256 , RSA-SHA384 , RSA-SHA512 , ECDSA-SHA256 , ECDSA-SHA384 , ECDSA-SHA512 . key-usages Optional The list of key usage values for the certificate. One or more of: digital_signature , key_encipherment , non_repudiation , data_encipherment , key_agreement , key_cert_sign , crl_sign , encipher_only , decipher_only . extended-key-usages Optional The list of extended key usage values for the certificate. One or more of: server_auth , client_auth , code_signing , email_protection , timestamping , ocsp_signing . csr-path Conditional The path to a certificate signing request (CSR) file (e.g., ./csr/webserver.csr , /etc/ssl/csr.pem ). This is required if using a pre-generated CSR. file-output.private-key.path Optional (required if the csr-path is not specified) The path to store the private key (required if not using a CSR) file-output.private-key.permission Optional (defaults to 0600 ) The octal file permissions for the private key file (e.g. 0600 ) file-output.certificate.path Yes The path to store the issued certificate in the filesystem file-output.certificate.permission Optional (defaults to 0600 ) The octal file permissions for the certificate file (e.g. 0644 ) file-output.chain.path Optional The path to store the certificate chain in the filesystem. file-output.chain.permission Optional (defaults to 0600 ) The octal permissions for the chain file (e.g. 0644 ) file-output.chain.omit-root Optional (defaults to true ) Whether to exclude the root CA certificate from the returned certificate chain lifecycle.renew-before-expiry Optional (auto-renewal is disabled if not set) Duration before certificate expiration when renewal checks should begin, specified as a duration string (e.g. 72h , 90d , 1y , etc.) lifecycle.status-check-interval Optional (defaults to 10s ) How frequently the agent checks certificate status and renewal needs, specified as a duration string (e.g. 10s , 30m , 1d , etc.) post-hooks.on-issuance.command Optional The shell command to execute after a certificate is successfully issued for the first time (e.g., systemctl reload nginx , /usr/local/bin/reload-service.sh ) post-hooks.on-issuance.timeout Optional (defaults to 30 ) Maximum execution time in seconds for the on-issuance post-hook command before it is terminated (e.g., 30 , 60 , 120 ) post-hooks.on-renewal.command Optional The shell command to execute after a certificate is successfully renewed (e.g., systemctl reload nginx , docker restart web-server ) post-hooks.on-renewal.timeout Optional (defaults to 30 ) Maximum execution time in seconds for the on-renewal post-hook command before it is terminated (e.g., 30 , 60 , 120 ) post-hooks.on-failure.command Optional The shell command to execute when certificate issuance or renewal fails (e.g., logger 'Certificate renewal failed' , /usr/local/bin/alert.sh ) post-hooks.on-failure.timeout Optional (defaults to 30 ) Maximum execution time in seconds for the on-failure post-hook command before it is terminated (e.g., 10 , 30 , 60 ) Post-Event Hooks The Infisical Agent supports running custom commands in response to certificate lifecycle events such as issuance, renewal, and failure through the post-hooks configuration in the agent configuration file. Issuance Hook Renewal Hook Failure Hook Runs when a new certificate is successfully issued: Copy Ask AI post-hooks : on-issuance : command : | echo "New certificate issued for ${CERT_COMMON_NAME}" chown nginx:nginx ${CERT_FILE_PATH} chmod 644 ${CERT_FILE_PATH} systemctl reload nginx timeout : 30 Runs when a certificate is successfully renewed: Copy Ask AI post-hooks : on-renewal : command : | echo "Certificate renewed for ${CERT_COMMON_NAME}" # Reload services that use the certificate systemctl reload nginx systemctl reload haproxy # Send notification curl -X POST https://hooks.slack.com/... \ -d "{'text': 'Certificate for ${CERT_COMMON_NAME} renewed successfully'}" timeout : 60 Runs when certificate operations fail: Copy Ask AI post-hooks : on-failure : command : | echo "Certificate operation failed for ${CERT_COMMON_NAME}: ${ERROR_MESSAGE}" # Send alert mail -s "Certificate Failure Alert" [email protected] < /dev/null # Log to syslog logger -p daemon.error "Certificate agent failure: ${ERROR_MESSAGE}" timeout : 30 Retrying mechanism The Infisical Agent will automatically attempt to retry any failed API requests including authentication, certificate issuance, and renewal operations. By default, the agent will retry up to 3 times with a base delay of 200ms and a maximum delay of 5s. You can configure the retrying mechanism through the agent configuration file: Copy Ask AI infisical : address : "https://app.infisical.com" retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # ... rest of the agent configuration file Example Agent Configuration Files Since there are several ways you might want to use the Infisical Agent to request certificates from Infisical, we provide a few example configuration files for common use cases below to help you get started. One-Time Certificate Issuance The code snippet below shows a configuration file that instructs the agent to request a certificate from Infisical once without performing any subsequent auto-renewal. Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" attributes : common-name : "api.example.com" alt-names : - "api.example.com" - "api-v2.example.com" key-algorithm : "RSA_2048" signature-algorithm : "RSA-SHA256" key-usages : - "digital_signature" - "key_encipherment" extended-key-usages : - "server_auth" ttl : "30d" file-output : private-key : path : "/etc/ssl/private/api.example.com.key" permission : "0600" certificate : path : "/etc/ssl/certs/api.example.com.crt" permission : "0644" chain : path : "/etc/ssl/certs/api.example.com.chain.crt" permission : "0644" omit-root : true One-Time Certificate Issuance using a Pre-Generated CSR The code snippet below shows a configuration file that instructs the agent to request a certificate from Infisical once using a pre-generated CSR. Note that when csr-path is specified: The private-key is omitted from the configuration file because we assume that it is pre-generated and managed externally, with only the CSR being submitted to Infisical for signing. The agent will not be able to perform any auto-renewal operations, as it is assumed to not have access to the private key required to generate a new CSR. Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" csr-path : "/etc/ssl/requests/api.csr" file-output : certificate : path : "/etc/ssl/certs/api.example.com.crt" permission : "0644" chain : path : "/etc/ssl/certs/api.example.com.chain.crt" permission : "0644" omit-root : true Certificate Issuance with Automatic Renewal The code snippet below shows a configuration file that instructs the agent to request a certificate from Infisical and continuously renew it 14 days before expiration, checking the certificate status every 6 hours. Copy Ask AI version : v1 # Infisical server configuration infisical : address : "https://app.infisical.com" # The URL of the Infisical instance (e.g. https://app.infisical.com, https://eu.infisical.com, https://your-self-hosted-instance.com) retry-strategy : max-retries : 3 max-delay : "5s" base-delay : "200ms" # Infisical authentication configuration auth : type : "universal-auth" # The authentication method to use (e.g. universal-auth, kubernetes-auth, azure-auth, gcp-id-token, gcp-iam, aws-iam) config : client-id : "your-client-id" client-secret : "your-client-secret" # Certificate configuration certificates : - profile-name : "prof-web-server-12345" project-slug : "my-project-slug" attributes : common-name : "api.example.com" alt-names : - "api.example.com" - "api-v2.example.com" key-algorithm : "RSA_2048" signature-algorithm : "RSA-SHA256" key-usages : - "digital_signature" - "key_encipherment" extended-key-usages : - "server_auth" ttl : "30d" lifecycle : renew-before-expiry : "14d" # Renew 14 days before expiration status-check-interval : "6h" # Check certificate status every 6 hours file-output : private-key : path : "/etc/ssl/private/api.example.com.key" permission : "0600" certificate : path : "/etc/ssl/certs/api.example.com.crt" permission : "0644" chain : path : "/etc/ssl/certs/api.example.com.chain.crt" permission : "0644" post-hooks : on-issuance : command : "systemctl reload nginx" timeout : 30 on-renewal : command : "systemctl reload nginx && logger 'Certificate renewed'" timeout : 30 Was this page helpful? Yes No Suggest edits Raise issue Alerting Kubernetes cert-manager ⌘ I Infisical home page x linkedin github slack PRODUCT Secret Management Secret Scanning Share Secrets Pricing Security Blog Infisical vs Vault Forum USE CASES Infisical Agent Kubernetes Dynamic Secrets Terraform Ansible Jenkins Docker AWS ECS GitLab GitHub SDK DEVELOPERS Changelog Status Feedback & Requests Trust of Center Open Source Friends How to contribute OTHERS Customers Company Handbook Careers Terms of Service Privacy Policy Subprocessors SLA Team Email Sales Support Powered by self.__next_f.push([1,"\"use strict\";\nconst {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];\nconst {useMDXComponents: _provideComponents} = arguments[0];\nfunction _createMdxContent(props) {\n const _components = {\n a: \"a\",\n code: \"code\",\n li: \"li\",\n ol: \"ol\",\n p: \"p\",\n pre: \"pre\",\n span: \"span\",\n strong: \"strong\",\n tbody: \"tbody\",\n td: \"td\",\n th: \"th\",\n thead: \"thead\",\n tr: \"tr\",\n ul: \"ul\",\n ..._provideComponents(),\n ...props.components\n }, {Accordion, AccordionGroup, CodeBlock, Heading, Step, Steps, Tab, Table, Tabs} = _components;\n if (!Accordion) _missingMdxReference(\"Accordion\", true);\n if (!AccordionGroup) _missingMdxReference(\"AccordionGroup\", true);\n if (!CodeBlock) _missingMdxReference(\"CodeBlock\", true);\n if (!Heading) _missingMdxReference(\"Heading\", true);\n if (!Step) _missingMdxReference(\"Step\", true);\n if (!Steps) _missingMdxReference(\"Steps\", true);\n if (!Tab) _missingMdxReference(\"Tab\", true);\n if (!Table) _missingMdxReference(\"Table\", true);\n if (!Tabs) _missingMdxReference(\"Tabs\", true);\n return _jsxs(_Fragment, {\n children: [_jsx(Heading, {\n level: \"2\",\n id: \"concept\",\n children: \"Concept\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"The Infisical Agent is a client daemon that is packaged into the \", _jsx(_components.a, {\n href: \"/cli/overview\",\n children: \"Infisical CLI\"\n }), \".\\nIt can be used to request a certificate from Infisical using the \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/enrollment-methods/api\",\n children: \"API enrollment method\"\n }), \" configured on a \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/certificates/profiles\",\n children: \"certificate profile\"\n }), \", persist it to a specified path on the filesystem, and automatically monitor and renew it before expiration.\"]\n }), \"\\n\", _jsx(_components.p, {\n children: \"The Infisical Agent is notable:\"\n }), \"\\n\", _jsxs(_components.ul, {\n children: [\"\\n\", _jsx(_components.li, {\n children: \"Automating certificate management: The agent can request, persist, monitor, and renew certificates from Infisical automatically without manual intervention. It also supports post-event hooks to execute custom commands after certificate issuance, renewal, or failure events.\"\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"Leveraging workload identity: The agent can authenticate with Infisical as a \", _jsx(_components.a, {\n href: \"/documentation/platform/identities/machine-identities\",\n children: \"machine identity\"\n }), \" using an infrastructure-native authentication method such as \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/aws-auth\",\n children: \"AWS Auth\"\n }), \", \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/azure-auth\",\n children: \"Azure Auth\"\n }), \", \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/gcp-auth\",\n children: \"GCP Auth\"\n }), \", \", _jsx(_components.a, {\n href: \"/docs/documentation/platform/identities/kubernetes-auth\",\n children: \"Kubernetes Auth\"\n }), \", etc.\"]\n }), \"\\n\"]\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"The typical workflow for using the agent involves installing the Infisical CLI on the target machine, creating a configuration file defining the certificate to request and how it should be managed, and then starting the agent with that configuration so it can request, persist, monitor, and renew the certificate before it expires.\\nThis follows a \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/certificates/certificates#client-driven-certificate-renewal\",\n children: \"client-driven approach\"\n }), \" to certificate renewal.\"]\n }), \"\\n\", _jsx(Heading, {\n level: \"2\",\n id: \"workflow\",\n children: \"Workflow\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"A typical workflow for using the Infisical Agent to request certificates from Infisical consists of the following steps:\"\n }), \"\\n\", _jsxs(_components.ol, {\n children: [\"\\n\", _jsxs(_components.li, {\n children: [\"Create a \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/certificates/profiles\",\n children: \"certificate profile\"\n }), \" in Infisical with the \", _jsx(_components.a, {\n href: \"/documentation/platform/pki/enrollment-methods/api\",\n children: \"API enrollment method\"\n }), \" configured on it.\"]\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"Install the \", _jsx(_components.a, {\n href: \"/cli/overview\",\n children: \"Infisical CLI\"\n }), \" on the target machine.\"]\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"Create an agent \", _jsx(_components.a, {\n href: \"/integrations/platforms/certificate-agent#agent-configuration\",\n children: \"configuration file\"\n }), \" containing details about the certificate to request and how it should be managed such as renewal thresholds, post-event hooks, etc.\"]\n }), \"\\n\", _jsx(_components.li, {\n children: \"Start the agent with that configuration so it can request, persist, monitor, and going forward automatically renew the certificate before it expires on the target machine.\"\n }), \"\\n\"]\n }), \"\\n\", _jsx(Heading, {\n level: \"2\",\n id: \"operating-the-agent\",\n children: \"Operating the Agent\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"This section describes how to use the Infisical Agent to request certificates from Infisical. It covers how the agent authenticates with Infisical,\\nand how to configure it to start requesting certificates from Infisical.\"\n }), \"\\n\", _jsx(Heading, {\n level: \"3\",\n id: \"authentication\",\n children: \"Authentication\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"The Infisical Agent can authenticate with Infisical as a \", _jsx(_components.a, {\n href: \"/documentation/platform/identities/machine-identities\",\n children: \"machine identity\"\n }), \" using one of its supported authentication methods.\"]\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"Upon successful authentication, the agent receives a short-lived access token that it uses to make subsequent authenticated requests to obtain and renew certificates from Infisical;\\nthe agent automatically handles token renewal as documented \", _jsx(_components.a, {\n href: \"/integrations/platforms/infisical-agent#token-renewal\",\n children: \"here\"\n }), \".\"]\n }), \"\\n\", _jsxs(AccordionGroup, {\n children: [_jsxs(Accordion, {\n title: \"Universal Auth\",\n children: [_jsx(_components.p, {\n children: \"The Universal Auth method uses a client ID and secret for authentication.\"\n }), _jsxs(Steps, {\n children: [_jsx(Step, {\n title: \"Create a universal auth machine identity\",\n children: _jsxs(_components.p, {\n children: [\"To create a universal auth machine identity, follow the step by step guide outlined \", _jsx(_components.a, {\n href: \"/documentation/platform/identities/universal-auth\",\n children: \"here\"\n }), \".\"]\n })\n }), _jsxs(Step, {\n title: \"Configure the agent\",\n children: [_jsx(_components.p, {\n children: \"Update the agent configuration file with the auth method and credentials:\"\n }), _jsx(CodeBlock, {\n filename: \"\",\n numberOfLines: \"6\",\n language: \"yaml\",\n children: _jsx(_components.pre, {\n className: \"shiki shiki-themes dark-plus dark-plus\",\n style: {\n backgroundColor: \"#0B0C0E\",\n \"--shiki-dark-bg\": \"#0B0C0E\",\n color: 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children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" config\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \":\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" client-id\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#CE9178\",\n \"--shiki-dark\": \"#CE9178\"\n },\n children: \"\\\"./client-id\\\"\"\n }), _jsx(_components.span, {\n style: {\n color: \"#6A9955\",\n \"--shiki-dark\": \"#6A9955\"\n },\n children: \" # Path to file containing client ID\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" client-secret\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#CE9178\",\n \"--shiki-dark\": \"#CE9178\"\n },\n children: \"\\\"./client-secret\\\"\"\n }), _jsx(_components.span, {\n style: {\n color: \"#6A9955\",\n \"--shiki-dark\": \"#6A9955\"\n },\n children: \" # Path to file containing client secret\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" remove-client-secret-on-read\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \"false\"\n }), _jsx(_components.span, {\n 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numberOfLines: \"4\",\n children: [_jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \"auth\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \":\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" type\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#CE9178\",\n \"--shiki-dark\": \"#CE9178\"\n },\n children: \"\\\"gcp-id-token\\\"\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" config\"\n }), 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_jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \":\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" type\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n style: {\n color: \"#CE9178\",\n \"--shiki-dark\": \"#CE9178\"\n },\n children: \"\\\"gcp-iam\\\"\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" config\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \":\"\n })]\n }), \"\\n\", _jsxs(_components.span, {\n className: \"line\",\n children: [_jsx(_components.span, {\n style: {\n color: \"#569CD6\",\n \"--shiki-dark\": \"#569CD6\"\n },\n children: \" identity-id\"\n }), _jsx(_components.span, {\n style: {\n color: \"#D4D4D4\",\n \"--shiki-dark\": \"#D4D4D4\"\n },\n children: \": \"\n }), _jsx(_components.span, {\n | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=ms | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=eu | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/courses/build-with-andrew | Build with Andrew - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Hi, I'm Andrew Ng. I want to show you how to build fun, useful software using AI, regardless of your background or training. If you're intrigued about using AI or vibe coding to build cool software, or aren't sure where to start, this course is for you. Let me show you a funny birthday card app that you learn to build in minutes using ChatGPT, Gemini, or any other similar AI system, even if you've never written a line of code before. This birthday card app is a computer program called a web application, which means that it runs right in your web browser. The app takes whatever you type in and creates a custom card for you on the spot. In the next lesson, you build your own version by describing what you want the AI to do, and the AI will write all the code for you. To use the app, you enter a name, an age, a hobby, penguin fashion design, an adjective, suspiciously fun, and the plural noun, lucky socks. Then hit Generate Card, and it says, Karen, against all odds, you've turned 27. Your devotion to penguin fashion design, this stuff of legends, and your suspiciously fun nature, iconic. Statistically speaking, most people like you. I think that's pretty funny. Or if I don't feel like filling in all of these words myself, I can hit I'm feeling lucky, and have this fill in automatically, and then generate a different card. And there's another birthday card. And you get a different funny story, or a different funny birthday card this time. Notice the app stores all the cards we've generated. If I click copy on any of them, the birthday message goes to my clipboard, so I can paste the message into an email or text, and send it as a birthday card. You might be excited to jump right in, and start building out your own idea. And if so, that's great. And before doing that, spending a little time building this birthday card app yourself will help a lot. Doing so will give you a better feel for how to talk to the AI, and actually get the results you want. And this practice process will build your intuition for how to shape what the AI actually creates, and you get a better sense of how even small tweaks can lead to very different outcomes. Once these set of concepts become a bit more familiar to you, building your own ideas will become faster and easier, because you have a better sense of how to steer the process. So an app like this might seem complicated to build, but in the next video, I'll show you how you can build something like this in minutes. Let's go on to the next video. course detail Next Lesson Build with Andrew Creating an app with AI Video ・ 2 mins Telling AI what you want Video ・ 10 mins Telling AI what you want [chatbot] Reading with AI Assistant ・ 5 mins Download and open your app Reading ・ 2 mins Customize your app Video ・ 6 mins Customize your app [chatbot] Reading with AI Assistant ・ 5 mins Now you can build more apps Video ・ 2 mins Now you can build more apps [chatbot] Reading with AI Assistant ・ 5 mins You're a builder now! Video ・ 3 mins Build your final project [chatbot] Reading with AI Assistant ・ 15 mins Submit your final project Graded ・Code Assignment ・ 2 mins Course Quiz Graded ・Quiz ・ 10 mins More DLAI courses to try! Reading ・ 2 mins Join the DeepLearning.AI Forum Reading ・ 2 mins Acknowledgments Reading ・ 1 min Certificate Course Info | 2026-01-13T09:29:58 |
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https://learn.deeplearning.ai/courses/design-develop-and-deploy-multi-agent-systems-with-crewai | Design, Develop, and Deploy Multi-Agent Systems with CrewAI - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Course Syllabus close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to this course on multi-agent systems with CrewAI, where you learn to design, develop, and deploy these powerful systems. This is built in collaboration with Joe Moura at CrewAI. One of the most important skills in AI today is how to build agentic AI workflows, and multi-agent systems, where you take a complex task and break it down into subtasks for different specialized agents to execute, lets you very efficiently build fairly complex workflows. In this course, you learn about the core fundamental thinking frameworks that helps you approach complex tasks and how to break them down into multi-agent systems to look at exciting examples, including code review, and building a deep researcher, and building a meeting preparation assistant, and much more. Delighted to have Joe back with us here again to teach. Thank you so much for having me. I'm so excited about this. And honestly, there's a lot that we're going to go over this course. We're going to talk about how you can, as an AI builder, use the CrewAI framework so that you're building something that is ready for production eventually, once that you're ready to bring it there. But we're going to talk about how you build them with agents and flows, how you track performance, how you implement memory, how you control versions, monitor traces, and continuously improve throughout the agent loop. We actually introduced a lot of features coming this course to enable low-level control, so you can focus on the fun parts of building agents. So this course is not only about identifying the use cases, but also building these agents and get to value as fast as you can. And that's one of the reasons I'm so excited about this. One of the reasons I always enjoy talking to Joe about agentic workflows is Joe is an early visionary that started building CrewAI, in which I'm privileged to be a minor investor, started building CrewAI long before multi-agent systems was popular. And what that means is I think Joe, more than the vast majority of humans on this planet, has seen so many implementations, practical, valuable commercial implementations, at scale, very valuable businesses. And so I know he's looking forward to sharing all those lessons with you. So I think of the basic process of looking around your life, your work, to try to identify what are the things that are amenable to rapid prototyping experimentation with a multi-agent system. And then also how to use CrewAI, say, to quickly build a prototype and what are the tools, Whether it's MCP servers, web search, all the way through to when you have something that works, what are the lessons to take that prototype, which may run great on your laptop, to scale it to thousands or tens of thousands or more users, hopefully without too much pain and too many pitfalls along the way. A thousand percent. And I think you got the nail in the hand there, where literally as you're building these use cases, what makes them interesting is the fact that they're non-deterministic, is the fact that these agents can tap in so many different sources. So they're not only using cognition, but they also have this ability to self-heal and to react at anything that you throw at them at runtime. But that cannot come at a cost of not giving you reliable, repeatable outputs. So that's something that you should watch for. So in this course, you're going to learn how the building blocks for these multi-agent systems, including not only agents, tasks, and crews, but you'll learn how to customize and optimize your agents with memory, tools, including MCPs, execution hooks, and guardrails. You also learn how to add a layer of low-level control with CrewAI flows and states that allows you to not only test your application using metrics, but also inform you how to even train your agents using human feedback and improve your application over time. And in the final module, you'll also hear from several companies that have been using multi-agent systems and CrewAI in production. So even if this is your first time working with agents or CrewAI, you'll get a lot of this course. And if you took our earlier courses in partnership with DeepLearning.AI, I think of this like a phase three, where you're building these things, not only for scale, but quality and reliability. And I'm very excited about that. So one of the challenges that I know you spend a lot of time thinking about is reliability. Very often, we can build a quick and dirty prototype for agent workflow. It works in demo state for that one input we try on our laptop. Maybe even works well for 10 inputs. But then as you go from 10 different examples to 100 in production, to 1000, then does this mean that, well, it's 80% reliable, it doesn't really work. But it turns out that for teams that know how to drive an agent development process, this agents only work in demo, only works 80% of the time, there are lots of tools to break through that. A thousand percent. And what we have seen is that there's a spectrum of things that you can do in order to improve the agents, in order to improve the reliability that you're getting. From using CrewAI training, to use guardrails, to use CrewAI testing, all the way to actually fine tuning a model if you really want to go there. So all that goes into agents memory, and we're going to talk all about this throughout the course. So it's very exciting. The genie is not getting back in the bottle. If anything, people are going to use more agents every day. But in order for that to happen, there needs to be at least three main things. One is, it needs to be extremely easy to build, and we're going to talk about how you can easily get this agents build out. It needs to be trustworthy, that goes back into this idea of reliable and repeatable outcomes, and also needs to be manageable, so you can get to scale eventually. And the scale is not only about running a million agents in an hour, it's about making sure that you're building this building blocks that can be reused. So you're having your custom tools to be reused across many use cases, or even your agents themselves. And that's very exciting about this course. I find that having that discipline process, building your multi-agent system, and then thinking through what are the observability mechanisms, so that you can figure out when it's working, when it's not working. And then also to drive that disciplined process to repeatedly, you know, quickly identify the errors, and then fix it with some of the tools, be it prompting, fine-tuning, or something else. That is probably a more reliable recipe than most people realize, which is why with this set of knowledge, it's actually not easy, but probably easier than is widely appreciated to build pretty reliable multi-agent systems. Now there's a lot of buzz, a lot of hype about agentic AI, and about multi-agent systems. And with all this buzz and noise, what we wanted to do was get together to create a definitive course on how to use CrewAI to build multi-agent systems, so that when you'll finish this course, you understand what are the core building blocks, what are the mental frameworks, how to put them together, and then also how to go all the way from prototyping to taking your multi-agent system to scale. And this will be a very powerful skill that I'm confident will let you build a lot more stuff than was possible before. And having known Joe for a while, I can promise that this course will also be a lot of fun, and I'm excited to see what you build with this. So there's a lot to cover, let's go on to the next video and get started. course detail Design, Develop, and Deploy Multi-Agent Systems with CrewAI Module 1 Module 1: Foundations of AI Agents Module 2: Working with AI Agents Module 3: Managing Systems of AI Agents Module 4: Applying AI Agents in Business Next Lesson Course Syllabus Module 1: Foundations of AI Agents Welcome Video ・ 7 mins Course overview Video ・ 4 mins What are AI agents? Video ・ 5 mins Use cases for AI agents Video ・ 6 mins What makes an AI agent intelligent? Video ・ 7 mins Building your first AI agent Video with Code Example ・ 8 mins Planning multi-agent systems Video ・ 3 mins Building multi-agent systems Video with Code Example ・ 8 mins Multi-agent systems in production Video ・ 4 mins Tactics for debugging, observing, optimizing Video ・ 7 mins Use cases: multi-agent systems at scale Video ・ 4 mins The AI agent revolution: Why it’s happening now Video ・ 6 mins Quiz: AI agents and applications Graded ・Quiz ・ 15 mins Assignment: Automatic Code Review Graded ・Code Assignment ・ 2 hours Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas! Reading ・ 10 mins Module 1 lecture notes Reading ・ 1 min Next Module 2: Working with AI Agents Certificate Course Info | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/courses/semantic-caching-for-ai-agents | Semantic Caching for AI Agents - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to Semantic Caching for AI Agents built in partnership with Redis, taught by Tyler Hutcherson, who is applied AI engineering lead and Iliya Zhechev, who is senior research engineer at Redis. In this course, you'll learn how to make your AI agents faster and more cost-effective by adding a semantic cache. In many projects, inference costs and latency affect your ability to scale an application. Traditional input-output caches that work when the input text is exactly the same can help in some cases, but if someone asks, how can I get a refund? and another person asks, I want my money back. a normal exact match cache sees them as completely different. Semantic caching on the other hand looks at meaning. It uses embeddings to measure how similar two questions are in this meaning space. And if they're semantically similar, then we can reuse the model's response to an old answer instead of calling the model again. Thanks, Andrew. You'll first build a cache from scratch to learn under the hood of semantic caching piece by piece. You will create embeddings, compare distances, and set a threshold to decide when two queries are semantically similar enough. Then we'll move it into implementing our semantic cache using Redis as open source SDK. This will make your cache closer to a production deployment as your cache will now have features like time to live to keep your cache fresh and small, and even separate caches for different users or teams or tenants. We'll also use our open weight embedding model, fine-tuned for cache accuracy. Once you have a working cache, we'll measure how well it performs. We'll look at hit rate, precision, and recall. These metrics will show how often your cache helps and how often it is correct. You'll visualize them in a confusion matrix and you'll see how changing the similarity threshold will shift the balance between precision and recall. We'll also look at latency and we'll see how a few hits quickly add up to a big time saving. After measuring the effectiveness of your cache, you'll learn four methods for enhancing it. You'll optimize the threshold and we'll use a cross-encoder for better re-ranking. And even a small LLM check that can confirm whether two questions mean the same thing. We also add fuzzy matching to handle simple typos that frequently happen when users ask questions. Finally, we'll connect it all inside an AI agent. The agent breaks a big question into smaller parts and checks the cache for each one and only calls the LLM when it needs to. This means every new user or slightly different phrasing benefits from what the system already knows. Over time, as the cache warms up, model calls drop and responses feel just as good but arrive much faster. Many people have worked to create this course. I'd like to thank from Redis, the applied AI, AI research, product, and education teams. From DeepLearning.AI, Esmaeil Gargari also contributed to this course. The first lesson will be an overview of semantic caching. You will also learn about a real use case where Walmart published techniques to improve their production caching system. So, let's go into the next video and get started. course detail Next Lesson Semantic Caching for AI Agents Introduction Video ・ 3 mins Overview of Semantic Caching Video ・ 9 mins Build Your First Semantic Cache Video with Code Example ・ 10 mins Measuring Cache Effectiveness Video with Code Example ・ 13 mins Enhancing Cache Effectiveness Video with Code Example ・ 12 mins Fast AI Agent with Semantic Cache Video with Code Example ・ 16 mins Conclusion Video ・ 1 min Quiz Graded ・Quiz ・ 9 mins OPTIONAL: Project Code Example ・ 10 mins Accomplishment Course Info | 2026-01-13T09:29:58 |
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https://learn.deeplearning.ai/courses/semantic-caching-for-ai-agents | Semantic Caching for AI Agents - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to Semantic Caching for AI Agents built in partnership with Redis, taught by Tyler Hutcherson, who is applied AI engineering lead and Iliya Zhechev, who is senior research engineer at Redis. In this course, you'll learn how to make your AI agents faster and more cost-effective by adding a semantic cache. In many projects, inference costs and latency affect your ability to scale an application. Traditional input-output caches that work when the input text is exactly the same can help in some cases, but if someone asks, how can I get a refund? and another person asks, I want my money back. a normal exact match cache sees them as completely different. Semantic caching on the other hand looks at meaning. It uses embeddings to measure how similar two questions are in this meaning space. And if they're semantically similar, then we can reuse the model's response to an old answer instead of calling the model again. Thanks, Andrew. You'll first build a cache from scratch to learn under the hood of semantic caching piece by piece. You will create embeddings, compare distances, and set a threshold to decide when two queries are semantically similar enough. Then we'll move it into implementing our semantic cache using Redis as open source SDK. This will make your cache closer to a production deployment as your cache will now have features like time to live to keep your cache fresh and small, and even separate caches for different users or teams or tenants. We'll also use our open weight embedding model, fine-tuned for cache accuracy. Once you have a working cache, we'll measure how well it performs. We'll look at hit rate, precision, and recall. These metrics will show how often your cache helps and how often it is correct. You'll visualize them in a confusion matrix and you'll see how changing the similarity threshold will shift the balance between precision and recall. We'll also look at latency and we'll see how a few hits quickly add up to a big time saving. After measuring the effectiveness of your cache, you'll learn four methods for enhancing it. You'll optimize the threshold and we'll use a cross-encoder for better re-ranking. And even a small LLM check that can confirm whether two questions mean the same thing. We also add fuzzy matching to handle simple typos that frequently happen when users ask questions. Finally, we'll connect it all inside an AI agent. The agent breaks a big question into smaller parts and checks the cache for each one and only calls the LLM when it needs to. This means every new user or slightly different phrasing benefits from what the system already knows. Over time, as the cache warms up, model calls drop and responses feel just as good but arrive much faster. Many people have worked to create this course. I'd like to thank from Redis, the applied AI, AI research, product, and education teams. From DeepLearning.AI, Esmaeil Gargari also contributed to this course. The first lesson will be an overview of semantic caching. You will also learn about a real use case where Walmart published techniques to improve their production caching system. So, let's go into the next video and get started. course detail Next Lesson Semantic Caching for AI Agents Introduction Video ・ 3 mins Overview of Semantic Caching Video ・ 9 mins Build Your First Semantic Cache Video with Code Example ・ 10 mins Measuring Cache Effectiveness Video with Code Example ・ 13 mins Enhancing Cache Effectiveness Video with Code Example ・ 12 mins Fast AI Agent with Semantic Cache Video with Code Example ・ 16 mins Conclusion Video ・ 1 min Quiz Graded ・Quiz ・ 9 mins OPTIONAL: Project Code Example ・ 10 mins Accomplishment Course Info | 2026-01-13T09:29:58 |
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https://play.google.com/store/apps/details?id=notion.id&hl=or | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history < | 2026-01-13T09:29:58 |
https://ai.google.dev/api/generate-content?hl=tr#request-body | Generating content | Gemini API | Google AI for Developers Ana içeriğe atla / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 API anahtarı alma Tarif Defteri Topluluk Oturum aç Dokümanlar API referansı Gemini API Dokümanlar API referansı API anahtarı alma Tarif Defteri Topluluk Genel bakış API sürümleri İşlemler Modeller İçerik oluşturuluyor Canlı API Live Music API Interactions API Simgeler Dosyalar Toplu API Önbelleğe alma Yerleştirmeler Dosya arama Dosya arama mağazaları Doküman Tüm yöntemler Kullanımdan kaldırıldı PaLM (artık kaldırıldı) SDK referansları Python Go TypeScript Java C# Ana Sayfa Gemini API API referansı Geri bildirim gönderin Generating content Gemini API; resim, ses, kod, araç ve daha fazlasını içeren içerik oluşturmayı destekler. Bu özelliklerin her biriyle ilgili ayrıntılar için okumaya devam edin ve göreve odaklanmış örnek kodu inceleyin veya kapsamlı kılavuzları okuyun. Metin oluşturma Görme Ses Yerleştirmeler Uzun bağlam Kod yürütme JSON Modu İşlev çağırma Sistem talimatları Yöntem: models.generateContent Uç nokta Yol parametreleri İstek metni JSON gösterimi Yanıt metni Yetkilendirme kapsamları Örnek istek Metin Resim Ses Video PDF Chat Önbellek Ayarlanmış Model (Tuned Model) JSON Modu Kod yürütme İşlev Çağırma Üretim yapılandırması Güvenlik Ayarları Sistem Talimatı (System Instruction) GenerateContentRequest girişiyle model yanıtı oluşturur. Ayrıntılı kullanım bilgileri için metin oluşturma kılavuzuna bakın. Ayarlanmış modeller de dahil olmak üzere modeller arasındaki giriş özellikleri farklıdır. Ayrıntılar için model kılavuzuna ve ayarlama kılavuzuna bakın. Uç nokta post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:generateContent Yol parametreleri model string Zorunlu. Tamamlama oluşturmak için kullanılacak Model öğesinin adı. Biçim: models/{model} . models/{model} biçimindedir. İstek metni İstek içeriği aşağıdaki yapıyla birlikte verileri içerir: Alanlar contents[] object ( Content ) Zorunlu. Modelle yapılan mevcut görüşmenin içeriği. Tek dönüşlü sorgular için bu tek bir örnektir. Sohbet gibi çok turlu sorgular için bu, sohbet geçmişini ve son isteği içeren yinelenen bir alandır. tools[] object ( Tool ) İsteğe bağlı. Bir sonraki yanıtı oluşturmak için Tools Model kullanılabileceklerin listesi. Tool , sistemin Model 'nin bilgisi ve kapsamı dışında bir işlem veya işlemler dizisi gerçekleştirmek için harici sistemlerle etkileşime girmesini sağlayan bir kod parçasıdır. Desteklenen Tool 'ler Function ve codeExecution 'dir. Daha fazla bilgi için İşlev çağırma ve Kod yürütme kılavuzlarına bakın. toolConfig object ( ToolConfig ) İsteğe bağlı. İstekte belirtilen tüm Tool için araç yapılandırması. Kullanım örneği için İşlev çağırma kılavuzuna bakın. safetySettings[] object ( SafetySetting ) İsteğe bağlı. Güvenli olmayan içeriğin engellenmesi için benzersiz SafetySetting örneklerinin listesi. Bu kural GenerateContentRequest.contents ve GenerateContentResponse.candidates üzerinde zorunlu tutulacaktır. Her SafetyCategory türü için birden fazla ayar olmamalıdır. API, bu ayarlarda belirlenen eşikleri karşılamayan tüm içerikleri ve yanıtları engeller. Bu liste, safetySettings içinde belirtilen her SafetyCategory için varsayılan ayarları geçersiz kılar. Listede belirli bir SafetyCategory için SafetySetting yoksa API, bu kategori için varsayılan güvenlik ayarını kullanır. HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY zarar kategorileri desteklenir. Kullanılabilen güvenlik ayarları hakkında ayrıntılı bilgi için kılavuza bakın. Ayrıca, yapay zeka uygulamalarınıza güvenlik unsurlarını nasıl dahil edeceğinizi öğrenmek için Güvenlik rehberine de göz atın. systemInstruction object ( Content ) İsteğe bağlı. Geliştirici tarafından belirlenen sistem talimatları . Şu anda yalnızca metin desteklenmektedir. generationConfig object ( GenerationConfig ) İsteğe bağlı. Model oluşturma ve çıkışlarla ilgili yapılandırma seçenekleri. cachedContent string İsteğe bağlı. Tahmini sunmak için bağlam olarak kullanılacak önbelleğe alınan içeriğin adı. Biçim: cachedContents/{cachedContent} Örnek istek Metin Python from google import genai client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "Write a story about a magic backpack." ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Write a story about a magic backpack." , }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } contents := [] * genai . Content { genai . NewContentFromText ( "Write a story about a magic backpack." , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Write a story about a magic backpack."}] }] }' 2 > /dev/null text_generation.sh Java Client client = new Client (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "Write a story about a magic backpack." , null ); System . out . println ( response . text ()); TextGeneration . java Resim Python from google import genai import PIL.Image client = genai . Client () organ = PIL . Image . open ( media / "organ.jpg" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Tell me about this instrument" , organ ] ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const organ = await ai . files . upload ({ file : path . join ( media , "organ.jpg" ), }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Tell me about this instrument" , createPartFromUri ( organ . uri , organ . mimeType ) ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "organ.jpg" ), & genai . UploadFileConfig { MIMEType : "image/jpeg" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Tell me about this instrument" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use a temporary file to hold the base64 encoded image data TEMP_B64 = $( mktemp ) trap 'rm -f "$TEMP_B64"' EXIT base64 $B64FLAGS $IMG_PATH > " $TEMP_B64 " # Use a temporary file to hold the JSON payload TEMP_JSON = $( mktemp ) trap 'rm -f "$TEMP_JSON"' EXIT cat > " $TEMP_JSON " << EOF { "contents" : [{ "parts" : [ { "text" : "Tell me about this instrument" } , { "inline_data" : { "mime_type" : "image/jpeg" , "data" : " $( cat " $TEMP_B64 " ) " } } ] }] } EOF curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d "@ $TEMP_JSON " 2 > /dev/null text_generation.sh Java Client client = new Client (); String path = media_path + "organ.jpg" ; byte [] imageData = Files . readAllBytes ( Paths . get ( path )); Content content = Content . fromParts ( Part . fromText ( "Tell me about this instrument." ), Part . fromBytes ( imageData , "image/jpeg" )); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , content , null ); System . out . println ( response . text ()); TextGeneration . java Ses Python from google import genai client = genai . Client () sample_audio = client . files . upload ( file = media / "sample.mp3" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Give me a summary of this audio file." , sample_audio ], ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const audio = await ai . files . upload ({ file : path . join ( media , "sample.mp3" ), }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Give me a summary of this audio file." , createPartFromUri ( audio . uri , audio . mimeType ), ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "sample.mp3" ), & genai . UploadFileConfig { MIMEType : "audio/mpeg" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Give me a summary of this audio file." ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use File API to upload audio data to API request. MIME_TYPE = $( file -b --mime-type " ${ AUDIO_PATH } " ) NUM_BYTES = $( wc -c < " ${ AUDIO_PATH } " ) DISPLAY_NAME = AUDIO tmp_header_file = upload-header.tmp # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D upload-header.tmp \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ AUDIO_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Please describe this file."}, {"file_data":{"mime_type": "audio/mpeg", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh Video Python from google import genai import time client = genai . Client () # Video clip (CC BY 3.0) from https://peach.blender.org/download/ myfile = client . files . upload ( file = media / "Big_Buck_Bunny.mp4" ) print ( f " { myfile =} " ) # Poll until the video file is completely processed (state becomes ACTIVE). while not myfile . state or myfile . state . name != "ACTIVE" : print ( "Processing video..." ) print ( "File state:" , myfile . state ) time . sleep ( 5 ) myfile = client . files . get ( name = myfile . name ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ myfile , "Describe this video clip" ] ) print ( f " { response . text =} " ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); let video = await ai . files . upload ({ file : path . join ( media , 'Big_Buck_Bunny.mp4' ), }); // Poll until the video file is completely processed (state becomes ACTIVE). while ( ! video . state || video . state . toString () !== 'ACTIVE' ) { console . log ( 'Processing video...' ); console . log ( 'File state: ' , video . state ); await sleep ( 5000 ); video = await ai . files . get ({ name : video . name }); } const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Describe this video clip" , createPartFromUri ( video . uri , video . mimeType ), ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "Big_Buck_Bunny.mp4" ), & genai . UploadFileConfig { MIMEType : "video/mp4" , }, ) if err != nil { log . Fatal ( err ) } // Poll until the video file is completely processed (state becomes ACTIVE). for file . State == genai . FileStateUnspecified || file . State != genai . FileStateActive { fmt . Println ( "Processing video..." ) fmt . Println ( "File state:" , file . State ) time . Sleep ( 5 * time . Second ) file , err = client . Files . Get ( ctx , file . Name , nil ) if err != nil { log . Fatal ( err ) } } parts := [] * genai . Part { genai . NewPartFromText ( "Describe this video clip" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use File API to upload audio data to API request. MIME_TYPE = $( file -b --mime-type " ${ VIDEO_PATH } " ) NUM_BYTES = $( wc -c < " ${ VIDEO_PATH } " ) DISPLAY_NAME = VIDEO # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D " ${ tmp_header_file } " \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ VIDEO_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri state = $( jq ".file.state" file_info.json ) echo state = $state name = $( jq ".file.name" file_info.json ) echo name = $name while [[ "( $state )" = * "PROCESSING" * ]] ; do echo "Processing video..." sleep 5 # Get the file of interest to check state curl https://generativelanguage.googleapis.com/v1beta/files/ $name > file_info.json state = $( jq ".file.state" file_info.json ) done curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Transcribe the audio from this video, giving timestamps for salient events in the video. Also provide visual descriptions."}, {"file_data":{"mime_type": "video/mp4", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh PDF Python from google import genai client = genai . Client () sample_pdf = client . files . upload ( file = media / "test.pdf" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Give me a summary of this document:" , sample_pdf ], ) print ( f " { response . text =} " ) text_generation . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "test.pdf" ), & genai . UploadFileConfig { MIMEType : "application/pdf" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Give me a summary of this document:" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk MIME_TYPE = $( file -b --mime-type " ${ PDF_PATH } " ) NUM_BYTES = $( wc -c < " ${ PDF_PATH } " ) DISPLAY_NAME = TEXT echo $MIME_TYPE tmp_header_file = upload-header.tmp # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D upload-header.tmp \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ PDF_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri # Now generate content using that file curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Can you add a few more lines to this poem?"}, {"file_data":{"mime_type": "application/pdf", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh Sohbet Python from google import genai from google.genai import types client = genai . Client () # Pass initial history using the "history" argument chat = client . chats . create ( model = "gemini-2.0-flash" , history = [ types . Content ( role = "user" , parts = [ types . Part ( text = "Hello" )]), types . Content ( role = "model" , parts = [ types . Part ( text = "Great to meet you. What would you like to know?" ) ], ), ], ) response = chat . send_message ( message = "I have 2 dogs in my house." ) print ( response . text ) response = chat . send_message ( message = "How many paws are in my house?" ) print ( response . text ) chat . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const chat = ai . chats . create ({ model : "gemini-2.0-flash" , history : [ { role : "user" , parts : [{ text : "Hello" }], }, { role : "model" , parts : [{ text : "Great to meet you. What would you like to know?" }], }, ], }); const response1 = await chat . sendMessage ({ message : "I have 2 dogs in my house." , }); console . log ( "Chat response 1:" , response1 . text ); const response2 = await chat . sendMessage ({ message : "How many paws are in my house?" , }); console . log ( "Chat response 2:" , response2 . text ); chat . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Pass initial history using the History field. history := [] * genai . Content { genai . NewContentFromText ( "Hello" , genai . RoleUser ), genai . NewContentFromText ( "Great to meet you. What would you like to know?" , genai . RoleModel ), } chat , err := client . Chats . Create ( ctx , "gemini-2.0-flash" , nil , history ) if err != nil { log . Fatal ( err ) } firstResp , err := chat . SendMessage ( ctx , genai . Part { Text : "I have 2 dogs in my house." }) if err != nil { log . Fatal ( err ) } fmt . Println ( firstResp . Text ()) secondResp , err := chat . SendMessage ( ctx , genai . Part { Text : "How many paws are in my house?" }) if err != nil { log . Fatal ( err ) } fmt . Println ( secondResp . Text ()) chat . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key = $GEMINI_API_KEY \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [ {"role":"user", "parts":[{ "text": "Hello"}]}, {"role": "model", "parts":[{ "text": "Great to meet you. What would you like to know?"}]}, {"role":"user", "parts":[{ "text": "I have two dogs in my house. How many paws are in my house?"}]}, ] }' 2 > /dev/null | grep "text" chat.sh Java Client client = new Client (); Content userContent = Content . fromParts ( Part . fromText ( "Hello" )); Content modelContent = Content . builder () . role ( "model" ) . parts ( Collections . singletonList ( Part . fromText ( "Great to meet you. What would you like to know?" ) ) ). build (); Chat chat = client . chats . create ( "gemini-2.0-flash" , GenerateContentConfig . builder () . systemInstruction ( userContent ) . systemInstruction ( modelContent ) . build () ); GenerateContentResponse response1 = chat . sendMessage ( "I have 2 dogs in my house." ); System . out . println ( response1 . text ()); GenerateContentResponse response2 = chat . sendMessage ( "How many paws are in my house?" ); System . out . println ( response2 . text ()); ChatSession . java Önbellek Python from google import genai from google.genai import types client = genai . Client () document = client . files . upload ( file = media / "a11.txt" ) model_name = "gemini-1.5-flash-001" cache = client . caches . create ( model = model_name , config = types . CreateCachedContentConfig ( contents = [ document ], system_instruction = "You are an expert analyzing transcripts." , ), ) print ( cache ) response = client . models . generate_content ( model = model_name , contents = "Please summarize this transcript" , config = types . GenerateContentConfig ( cached_content = cache . name ), ) print ( response . text ) cache . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const filePath = path . join ( media , "a11.txt" ); const document = await ai . files . upload ({ file : filePath , config : { mimeType : "text/plain" }, }); console . log ( "Uploaded file name:" , document . name ); const modelName = "gemini-1.5-flash-001" ; const contents = [ createUserContent ( createPartFromUri ( document . uri , document . mimeType )), ]; const cache = await ai . caches . create ({ model : modelName , config : { contents : contents , systemInstruction : "You are an expert analyzing transcripts." , }, }); console . log ( "Cache created:" , cache ); const response = await ai . models . generateContent ({ model : modelName , contents : "Please summarize this transcript" , config : { cachedContent : cache . name }, }); console . log ( "Response text:" , response . text ); cache . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelName := "gemini-1.5-flash-001" document , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "a11.txt" ), & genai . UploadFileConfig { MIMEType : "text/plain" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromURI ( document . URI , document . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } cache , err := client . Caches . Create ( ctx , modelName , & genai . CreateCachedContentConfig { Contents : contents , SystemInstruction : genai . NewContentFromText ( "You are an expert analyzing transcripts." , genai . RoleUser , ), }) if err != nil { log . Fatal ( err ) } fmt . Println ( "Cache created:" ) fmt . Println ( cache ) // Use the cache for generating content. response , err := client . Models . GenerateContent ( ctx , modelName , genai . Text ( "Please summarize this transcript" ), & genai . GenerateContentConfig { CachedContent : cache . Name , }, ) if err != nil { log . Fatal ( err ) } printResponse ( response ) cache . go Tuned Model Python # With Gemini 2 we're launching a new SDK. See the following doc for details. # https://ai.google.dev/gemini-api/docs/migrate README.md JSON Modu Python from google import genai from google.genai import types from typing_extensions import TypedDict class Recipe ( TypedDict ): recipe_name : str ingredients : list [ str ] client = genai . Client () result = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "List a few popular cookie recipes." , config = types . GenerateContentConfig ( response_mime_type = "application/json" , response_schema = list [ Recipe ] ), ) print ( result ) controlled_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "List a few popular cookie recipes." , config : { responseMimeType : "application/json" , responseSchema : { type : "array" , items : { type : "object" , properties : { recipeName : { type : "string" }, ingredients : { type : "array" , items : { type : "string" } }, }, required : [ "recipeName" , "ingredients" ], }, }, }, }); console . log ( response . text ); controlled_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } schema := & genai . Schema { Type : genai . TypeArray , Items : & genai . Schema { Type : genai . TypeObject , Properties : map [ string ] * genai . Schema { "recipe_name" : { Type : genai . TypeString }, "ingredients" : { Type : genai . TypeArray , Items : & genai . Schema { Type : genai . TypeString }, }, }, Required : [] string { "recipe_name" }, }, } config := & genai . GenerateContentConfig { ResponseMIMEType : "application/json" , ResponseSchema : schema , } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , genai . Text ( "List a few popular cookie recipes." ), config , ) if err != nil { log . Fatal ( err ) } printResponse ( response ) controlled_generation . go kabuk curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -d '{ "contents": [{ "parts":[ {"text": "List 5 popular cookie recipes"} ] }], "generationConfig": { "response_mime_type": "application/json", "response_schema": { "type": "ARRAY", "items": { "type": "OBJECT", "properties": { "recipe_name": {"type":"STRING"}, } } } } }' 2 > /dev/null | head controlled_generation.sh Java Client client = new Client (); Schema recipeSchema = Schema . builder () . type ( Array . class . getSimpleName ()) . items ( Schema . builder () . type ( Object . class . getSimpleName ()) . properties ( Map . of ( "recipe_name" , Schema . builder () . type ( String . class . getSimpleName ()) . build (), "ingredients" , Schema . builder () . type ( Array . class . getSimpleName ()) . items ( Schema . builder () . type ( String . class . getSimpleName ()) . build ()) . build ()) ) . required ( List . of ( "recipe_name" , "ingredients" )) . build ()) . build (); GenerateContentConfig config = GenerateContentConfig . builder () . responseMimeType ( "application/json" ) . responseSchema ( recipeSchema ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "List a few popular cookie recipes." , config ); System . out . println ( response . text ()); ControlledGeneration . java Kod yürütme Python from google import genai from google.genai import types client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-pro-exp-02-05" , contents = ( "Write and execute code that calculates the sum of the first 50 prime numbers. " "Ensure that only the executable code and its resulting output are generated." ), ) # Each part may contain text, executable code, or an execution result. for part in response . candidates [ 0 ] . content . parts : print ( part , " \n " ) print ( "-" * 80 ) # The .text accessor concatenates the parts into a markdown-formatted text. print ( " \n " , response . text ) code_execution . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-pro-exp-02-05" , genai . Text ( `Write and execute code that calculates the sum of the first 50 prime numbers. Ensure that only the executable code and its resulting output are generated.` , ), & genai . GenerateContentConfig {}, ) if err != nil { log . Fatal ( err ) } // Print the response. printResponse ( response ) fmt . Println ( "--------------------------------------------------------------------------------" ) fmt . Println ( response . Text ()) code_execution . go Java Client client = new Client (); String prompt = """ Write and execute code that calculates the sum of the first 50 prime numbers. Ensure that only the executable code and its resulting output are generated. """ ; GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-pro-exp-02-05" , prompt , null ); for ( Part part : response . candidates (). get (). getFirst (). content (). get (). parts (). get ()) { System . out . println ( part + "\n" ); } System . out . println ( "-" . repeat ( 80 )); System . out . println ( response . text ()); CodeExecution . java İşlev Çağırma Python from google import genai from google.genai import types client = genai . Client () def add ( a : float , b : float ) - > float : """returns a + b.""" return a + b def subtract ( a : float , b : float ) - > float : """returns a - b.""" return a - b def multiply ( a : float , b : float ) - > float : """returns a * b.""" return a * b def divide ( a : float , b : float ) - > float : """returns a / b.""" return a / b # Create a chat session; function calling (via tools) is enabled in the config. chat = client . chats . create ( model = "gemini-2.0-flash" , config = types . GenerateContentConfig ( tools = [ add , subtract , multiply , divide ]), ) response = chat . send_message ( message = "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" ) print ( response . text ) function_calling . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelName := "gemini-2.0-flash" // Create the function declarations for arithmetic operations. addDeclaration := createArithmeticToolDeclaration ( "addNumbers" , "Return the result of adding two numbers." ) subtractDeclaration := createArithmeticToolDeclaration ( "subtractNumbers" , "Return the result of subtracting the second number from the first." ) multiplyDeclaration := createArithmeticToolDeclaration ( "multiplyNumbers" , "Return the product of two numbers." ) divideDeclaration := createArithmeticToolDeclaration ( "divideNumbers" , "Return the quotient of dividing the first number by the second." ) // Group the function declarations as a tool. tools := [] * genai . Tool { { FunctionDeclarations : [] * genai . FunctionDeclaration { addDeclaration , subtractDeclaration , multiplyDeclaration , divideDeclaration , }, }, } // Create the content prompt. contents := [] * genai . Content { genai . NewContentFromText ( "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , genai . RoleUser , ), } // Set up the generate content configuration with function calling enabled. config := & genai . GenerateContentConfig { Tools : tools , ToolConfig : & genai . ToolConfig { FunctionCallingConfig : & genai . FunctionCallingConfig { // The mode equivalent to FunctionCallingConfigMode.ANY in JS. Mode : genai . FunctionCallingConfigModeAny , }, }, } genContentResp , err := client . Models . GenerateContent ( ctx , modelName , contents , config ) if err != nil { log . Fatal ( err ) } // Assume the response includes a list of function calls. if len ( genContentResp . FunctionCalls ()) == 0 { log . Println ( "No function call returned from the AI." ) return nil } functionCall := genContentResp . FunctionCalls ()[ 0 ] log . Printf ( "Function call: %+v\n" , functionCall ) // Marshal the Args map into JSON bytes. argsMap , err := json . Marshal ( functionCall . Args ) if err != nil { log . Fatal ( err ) } // Unmarshal the JSON bytes into the ArithmeticArgs struct. var args ArithmeticArgs if err := json . Unmarshal ( argsMap , & args ); err != nil { log . Fatal ( err ) } // Map the function name to the actual arithmetic function. var result float64 switch functionCall . Name { case "addNumbers" : result = add ( args . FirstParam , args . SecondParam ) case "subtractNumbers" : result = subtract ( args . FirstParam , args . SecondParam ) case "multiplyNumbers" : result = multiply ( args . FirstParam , args . SecondParam ) case "divideNumbers" : result = divide ( args . FirstParam , args . SecondParam ) default : return fmt . Errorf ( "unimplemented function: %s" , functionCall . Name ) } log . Printf ( "Function result: %v\n" , result ) // Prepare the final result message as content. resultContents := [] * genai . Content { genai . NewContentFromText ( "The final result is " + fmt . Sprintf ( "%v" , result ), genai . RoleUser ), } // Use GenerateContent to send the final result. finalResponse , err := client . Models . GenerateContent ( ctx , modelName , resultContents , & genai . GenerateContentConfig {}) if err != nil { log . Fatal ( err ) } printResponse ( finalResponse ) function_calling . go Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); /** * The add function returns the sum of two numbers. * @param {number} a * @param {number} b * @returns {number} */ function add ( a , b ) { return a + b ; } /** * The subtract function returns the difference (a - b). * @param {number} a * @param {number} b * @returns {number} */ function subtract ( a , b ) { return a - b ; } /** * The multiply function returns the product of two numbers. * @param {number} a * @param {number} b * @returns {number} */ function multiply ( a , b ) { return a * b ; } /** * The divide function returns the quotient of a divided by b. * @param {number} a * @param {number} b * @returns {number} */ function divide ( a , b ) { return a / b ; } const addDeclaration = { name : "addNumbers" , parameters : { type : "object" , description : "Return the result of adding two numbers." , properties : { firstParam : { type : "number" , description : "The first parameter which can be an integer or a floating point number." , }, secondParam : { type : "number" , description : "The second parameter which can be an integer or a floating point number." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const subtractDeclaration = { name : "subtractNumbers" , parameters : { type : "object" , description : "Return the result of subtracting the second number from the first." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const multiplyDeclaration = { name : "multiplyNumbers" , parameters : { type : "object" , description : "Return the product of two numbers." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const divideDeclaration = { name : "divideNumbers" , parameters : { type : "object" , description : "Return the quotient of dividing the first number by the second." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; // Step 1: Call generateContent with function calling enabled. const generateContentResponse = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , config : { toolConfig : { functionCallingConfig : { mode : FunctionCallingConfigMode . ANY , }, }, tools : [ { functionDeclarations : [ addDeclaration , subtractDeclaration , multiplyDeclaration , divideDeclaration , ], }, ], }, }); // Step 2: Extract the function call.( // Assuming the response contains a 'functionCalls' array. const functionCall = generateContentResponse . functionCalls && generateContentResponse . functionCalls [ 0 ]; console . log ( functionCall ); // Parse the arguments. const args = functionCall . args ; // Expected args format: { firstParam: number, secondParam: number } // Step 3: Invoke the actual function based on the function name. const functionMapping = { addNumbers : add , subtractNumbers : subtract , multiplyNumbers : multiply , divideNumbers : divide , }; const func = functionMapping [ functionCall . name ]; if ( ! func ) { console . error ( "Unimplemented error:" , functionCall . name ); return generateContentResponse ; } const resultValue = func ( args . firstParam , args . secondParam ); console . log ( "Function result:" , resultValue ); // Step 4: Use the chat API to send the result as the final answer. const chat = ai . chats . create ({ model : "gemini-2.0-flash" }); const chatResponse = await chat . sendMessage ({ message : "The final result is " + resultValue , }); console . log ( chatResponse . text ); return chatResponse ; } function_calling . js kabuk cat > tools.json << EOF { "function_declarations" : [ { "name" : "enable_lights" , "description" : "Turn on the lighting system." } , { "name" : "set_light_color" , "description" : "Set the light color. Lights must be enabled for this to work." , "parameters" : { "type" : "object" , "properties" : { "rgb_hex" : { "type" : "string" , "description" : "The light color as a 6-digit hex string, e.g. ff0000 for red." } } , "required" : [ "rgb_hex" ] } } , { "name" : "stop_lights" , "description" : "Turn off the lighting system." } ] } EOF curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -d @< ( echo ' { "system_instruction": { "parts": { "text": "You are a helpful lighting system bot. You can turn lights on and off, and you can set the color. Do not perform any other tasks." } }, "tools": [' $( cat tools.json ) '], "tool_config": { "function_calling_config": {"mode": "auto"} }, "contents": { "role": "user", "parts": { "text": "Turn on the lights please." } } } ' ) 2 >/dev/null | sed -n '/"content"/,/"finishReason"/p' function_calling.sh Java Client client = new Client (); FunctionDeclaration addFunction = FunctionDeclaration . builder () . name ( "addNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration subtractFunction = FunctionDeclaration . builder () . name ( "subtractNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration multiplyFunction = FunctionDeclaration . builder () . name ( "multiplyNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration divideFunction = FunctionDeclaration . builder () . name ( "divideNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); GenerateContentConfig config = GenerateContentConfig . builder () . toolConfig ( ToolConfig . builder (). functionCallingConfig ( FunctionCallingConfig . builder (). mode ( "ANY" ). build () ). build ()) . tools ( Collections . singletonList ( Tool . builder (). functionDeclarations ( Arrays . asList ( addFunction , subtractFunction , divideFunction , multiplyFunction ) ). build () ) ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , config ); if ( response . functionCalls () == null || response . functionCalls (). isEmpty ()) { System . err . println ( "No function call received" ); return null ; } var functionCall = response . functionCalls (). getFirst (); String functionName = functionCall . name (). get (); var arguments = functionCall . args (); Map<String , BiFunction<Double , Double , Double >> functionMapping = new HashMap <> (); functionMapping . put ( "addNumbers" , ( a , b ) - > a + b ); functionMapping . put ( "subtractNumbers" , ( a , b ) - > a - b ); functionMapping . put ( "multiplyNumbers" , ( a , b ) - > a * b ); functionMapping . put ( "divideNumbers" , ( a , b ) - > b != 0 ? a / b : Double . NaN ); BiFunction<Double , Double , Double > function = functionMapping . get ( functionName ); Number firstParam = ( Number ) arguments . get (). get ( "firstParam" ); Number secondParam = ( Number ) arguments . get (). get ( "secondParam" ); Double result = function . apply ( firstParam . doubleValue (), secondParam . doubleValue ()); System . out . println ( result ); FunctionCalling . java Oluşturma yapılandırması Python from google import genai from google.genai import types client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "Tell me a story about a magic backpack." , config = types . GenerateContentConfig ( candidate_count = 1 , stop_sequences = [ "x" ], max_output_tokens = 20 , temperature = 1.0 , ), ) print ( response . text ) configure_model_parameters . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Tell me a story about a magic backpack." , config : { candidateCount : 1 , stopSequences : [ "x" ], maxOutputTokens : 20 , temperature : 1.0 , }, }); console . log ( response . text ); configure_model_parameters . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Create local variables for parameters. candidateCount := int32 ( 1 ) maxOutputTokens := int32 ( 20 ) temperature := float32 ( 1.0 ) response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , genai . Text ( "Tell me a story about a magic backpack." ), & genai . GenerateContentConfig { CandidateCount : candidateCount , StopSequences : [] string { "x" }, MaxOutputTokens : maxOutputTokens , Temperature : & temperature , }, ) if err != nil { log . Fatal ( err ) } printResponse ( response ) configure_model_parameters . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key = $GEMINI_API_KEY \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Explain how AI works"} ] }], "generationConfig": { "stopSequences": [ "Title" ], "temperature": 1.0, "maxOutputTokens": 800, "topP": 0.8, "topK": 10 } }' 2 > /dev/null | grep "text" configure_model_parameters.sh Java Client client = new Client (); GenerateContentConfig config = GenerateContentConfig . builder () . candidateCount ( 1 ) . stopSequences ( List . of ( "x" )) . maxOutputTokens ( 20 ) . temperature ( 1.0F ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "Tell me a story about a magic backpack." , config ); System . out . println ( response . text ()); ConfigureModelParameters . java Güvenlik ayarları Python from google import genai from google.genai import types client = genai . Client () unsafe_prompt = ( "I support Martians Soccer Club and I think Jupiterians Football Club sucks! " "Write a ironic phrase about them including expletives." ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = unsafe_prompt , config = types . GenerateContentConfig ( safety_settings = [ types . SafetySetting ( category = "HARM_CATEGORY_HATE_SPEECH" , threshold = "BLOCK_MEDIUM_AND_ABOVE" , ), types . SafetySetting ( category = "HARM_CATEGORY_HARASSMENT" , threshold = "BLOCK_ONLY_HIGH" ), ] ), ) try : print ( response . text ) except Exception : print ( "No information generated by the model." ) print ( response . candidates [ 0 ] . safety_ratings ) safety_settings . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const unsafePrompt = "I support Martians Soccer Club and I think Jupiterians Football Club sucks! Write a ironic phrase about them including expletives." ; const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : unsafePrompt , config : { safetySettings : [ { category : "HARM_CATEGORY_HATE_SPEECH" , threshold : "BLOCK_MEDIUM_AND_ABOVE" , }, { category : "HARM_CATEGORY_HARASSMENT" , threshold : "BLOCK_ONLY_HIGH" , }, ], }, }); try { console . log ( "Generated text:" , response . text ); } catch ( error ) { c | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/specializations/generative-ai-for-software-development | Generative AI for Software Development - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Course Syllabus close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to Generative AI for Software Development. Generative AI is helping many software developers write faster, better codes. And just to be clear, this specialization is not about writing generative AI applications. It's about how generative AI can help with software development, whether you're a data scientist, or front-end, or back-end, or full-stack, or mobile, or whatever type of developer. I'm here with Lawrence Moroney, who will be the instructor for these courses. You might be familiar with Lawrence from the TensorFlow courses he had taught with Deep Learning.ai some time back. Lawrence is also the author of more than 30 books, some sci-fi, some programming, many machine learning. And I'm excited to have him teach best practices for how you can write software better using generative AI. Always delighted to be here, Andrew, and to work alongside you and your team. So one of the things that I know you've been thinking about is the impact of generative AI on the day-to-day role of a software developer. How do you feel it's going to impact? What's that going to look like? You know, the thing that surprised me was how much more fun coding is with generative AI than without. Three weeks ago, I was trying to deploy something to the cloud service. I hadn't done it for a while, and I'd forgotten how to do it. And I thought, boy, if I had to go and read that documentation to figure it out, I could have done it. But frankly, it was much faster to prompt an LLM to guide me through the steps, which turned out to be almost correct, to help me pack this up in a docker container, push through the cloud service I was using, and just get the job done. So I find myself looking forward to coding more now that I know I have this coding companion. It's like generative AI buddy to help me along. It's those kind of drudgery tasks sometimes that take away from the joy of solving a particular problem. And when you have that pair of programmers alongside you to help you through those, it does make the overall task a lot more fun. Yeah, and productivity is one thing, all for that. I guess there was a McKinsey study, then a Cisco study that estimated something like 35-ish, maybe more, percentage improvements in productivity boost for code generation and various tasks. So productivity boost is great, all for that. But then the fun, you know, is a big bonus too. Oh, totally. I found myself, I'm sitting down and I'm enjoying coding much more than I had been previously because I'm spending more time thinking about the problem that I'm working on and thinking about how to implement that, solve that problem, as opposed to what do I do for user interface? What do I do for a docker container to push to the cloud and those type of things? It's really fun. So often in the room, on social media, there have been some very strident voices saying, you know, no one ever needs to write code and software engineers will be obsolete because of generative AI. I think we share some of you on that. Yeah, I mean, I honestly think that that viewpoint is wrong. And I'll come out and say that because I think, you know, your expertise as a software developer, if anything, is more important than ever in the age of generative AI, because it can make you have those superpowers, be more effective, be able to solve those domain problems, you know, and have fun while you're doing it. So you can as we've been sharing, so you can have a more fulfilling thing and, you know, just have a better time at work. In fact, what I suspect will happen is if indeed the estimates of, let's say, 35% productivity boost are accurate, then I think what will happen is people that use AI will replace people that don't. But AI won't replace software developers. And when I think about the studies showing meaningful productivity boosts already today, I think with the rapid pace of development, these gains will only expand and get even much bigger over time. So today, we promise to help us explain code, debug code, manage dependencies, all that is great. As we look in the future, with future generations of more agentic technologies, more secure things, I think it actually become more and more productive and more and more fun to have all these tools at your disposal. Oh, absolutely. And I also think that as if the word is shrinkification, the fact that LLMs are getting smaller but still being as effective, I really see that trend continuing and increasing and making, again, the job of a developer that bit easier. So now instead of outsourcing to a third party via a chat bot or those kind of things with your code, you could have an LLM running on your local machine that's trained on your code base, that's an expert on your domain that you can then use as that pair programmer alongside you. And I see that being a major trend. And in addition to that, of course, then many companies won't allow their source code to be shared outside. You can't bring it to chat GPT or cloud or anything like that. But when you have an internal model running on your own development box, that's when, again, I think the floodgates can open on these. For a lot of developers, when we get stuck on a task, both for novices, even for experienced developers, if you're learning something new, you sometimes get stuck. You've got to find a human expert to help you get unstuck. And I really like this analogy of pair programming. You always have a buddy with you now that you can ask a question from right away. And I think compared to waiting a day or whatever to track down that domain expert, not that the LLM always knows every answer, but the fact that your buddy can give you an answer right away, give you some options, I see this helping developers get unstuck. Not all the time, but at least much more rapidly. I found for me personally, sometimes if it's not helping solve the immediate problem, it sparks inspiration. Some of the answers that it gives will help me find a different track that I'm going to follow to be able to fix a particular problem or to go a whole new direction that I hadn't previously thought of. And it's that sparking of inspiration is one of the things that really can make the task more enjoyable. One of the things I really appreciate about insights you brought to our conversations was, I think a lot of us have been using generative AI to help with coding in ad hoc but effective ways. One of the things that I saw you do that I really appreciated was going through, frankly, a lot of tasks that developers have to go through and then to think through best practices, but how can generative AI help with different tasks? So for example, I just had not thought of using generative AI to help with test-driven development, to write tests, until I heard about that from you quite a while back now. But I think those systematic analysis of what are the things you could do, what are the best practices, I really appreciated your thinking that through putting it together for us. Oh, thank you. Thank you. Yeah. And it's like, and another one like in that realm that I love is dependency management, right? Because often bugs, there's nothing wrong with your code, it's just your dependency set. There's something mismatching in there. And to be able to use your friendly pair programmer LLM to help you through that, and has that understanding of dependencies and breaking changes and those types of things to guide you through that, there's a whole lot more to the universe of being a developer than just writing code. And I think having that LLM beside you through all of those tasks is really powerful and fun. Now, we speak about drudgery and not fun. Three years ago, I downloaded some open source code that uses Python 3.12. There's some weird features that I've never used. And then, thank goodness, LLM told me how to modify the code to be compatible with Python 3.10 or whatever it was using. And I think that kind of thing really saves developers a lot of time. And it does know Python 3.10 and Python 3.12 much better than I did. And so it could help me solve the problem quickly. Exactly. Exactly. And so changing tack for a second, we're looking at all these advancements and all these improvements. And what if we were to cast our eye down the road of time and think, what do you think software development will look like in five years with this? I think it's exciting. It feels like syntax is already becoming less important. So that's one fewer thing we need to memorize as much of. And then I think as AI becomes increasingly able to autonomously write code, test it with agentic workflows, AI can write code, test it, debug it. I feel like software developers can operate at a higher and higher level. I think there's plenty of work for us as humans to do to guide and supervise AI for a long time. But then, knowing where the technology is and staying with the technology, even as it matures, I think that'll be critical for us really doing the best work that we can. Sometimes when we start building a system, we start at the whiteboard, right? And we start drawing all these boxes and arrows between them and thinking about the constraints. And given the idea that today we generate code or we generate documentation or we generate test cases and other things from a prompt, it might be very interesting that in the not-too-distant future, those system specification designs that we draw, those boxes on a whiteboard could be the next prompt. And to be able to design systems off of those with multimodal models now being able to recognize imagery and being able to parse that kind of thing, that I can see that going back to that domain expertise, that when you have a domain expertise to solve a particular problem and you can draw the architecture of that, that that architecture can be implicitly turned into code, which would execute. And you may not even be interfacing that much with raw code, right? Unless you want to tweak and debug. And it's like, you know, five years from now, that could be a way that software developers will be even more effective. And it's something that I'm looking forward to. That's in the future. But what do we have today? So in this specialization, so we have three courses. The first thing that we do want to emphasize that this isn't a series of courses on how to build generative AI. This is a series of courses on how to use generative AI to be a better software developer. And the skills that we're looking at building here are really relevant for you in all areas. You know, as we've touched on a little bit already, it's not just coding, it's documentation, dependency management, testing, a little bit of architecture, all of that kind of stuff with Gen AI as your friend. So with these courses, anyone that writes code, we're going to adopt best practices and using generative AI to help with these. Can you say a bit more about what the three courses are about? Sure, sure. So we kind of broke the three courses into themes. So the first course is really for you as an individual software developer. It's going to introduce you a little bit to LLMs and how you can use them as a pair programmer. But then you're going to get into like prompting and system prompting and having an LLM play roles like software tester or any of those kind of roles of the type of people that you'd be working alongside to build better code. The second one then is really when you start thinking about collaboration with other people as a software engineer. You're going to work with testers, you're going to work with people who do documentation, you're going to be working with people who give you dependencies. They may be internal to your company or it might be third party dependencies like Python ones. And, you know, we're going to work through the skills of you being able to use an LLM to just be better at doing all of that. And then in the third and final course, it's like we're really going to take that to the professional software developer level where you can understand the full workflow of building and launching applications from the design phase with design patterns and the famous gang of four patterns through things like data serialization and database management. So that's really the whole idea of this, like to help you start as an individual developer, go on to working in a team and then go on to really being able to deploy professional solutions. And do these courses have any prerequisites? I think the only prerequisite here would be it's good to know a little bit of Python. So if you're a Python developer, it's good. We're also going to touch some other languages like Java and JavaScript, but we'll be primarily working in Python. So lots of things to learn in these courses. And with that, let's jump into how you can use large language models right away to help you with your coding. Let's go on to the next video to get started. specialization detail Generative AI for Software Development Introduction to Generative AI for Software Development Introduction to Generative AI for Software Development Course 1 Team Software Engineering with AI Course 2 AI-Powered Software and System Design Course 3 View All Courses Module 1 Module 1: Introduction to Generative AI Module 2: null Module 3: Pair-coding with an LLM Module 4: Leveraging an LLM for code analysis Next Lesson Course Syllabus Module 1: Introduction to Generative AI Course Introduction Conversation between Laurence Moroney and Andrew Ng Video ・ 11 mins Course 1 downloadable resources Reading ・ 2 mins Setting up your Jupyter environment Reading ・ 10 mins Essential reading: Engage directly with our Jupyter and ChatGPT labs Reading ・ 2 mins Introduction to Generative AI What is Generative AI? Video ・ 3 mins AI and machine learning Video ・ 3 mins Machine learning example Video ・ 4 mins Quiz 1 Graded ・Quiz ・ 15 mins Supervised learning Video ・ 4 mins Introduction to transformers Video ・ 2 mins Key transformer concepts Video ・ 6 mins Quiz 2 Graded ・Quiz ・ 15 mins [IMPORTANT] Have questions, issues or ideas? Join our Forum! Reading ・ 2 mins Next Module 2: null Certificate Course Info | 2026-01-13T09:29:58 |
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https://learn.deeplearning.ai/specializations/tensorflow-developer-professional-certificate | TensorFlow Developer Professional Certificate - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode. √ Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again. 🧑 Efficient Learning Tips The following tips can help you have an efficient learning experience with this short course and other courses. 🧑 Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency. 📅 Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention. Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals. ☕ Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective. 💬 Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable. ✍ Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects. 📚 Enroll in Other Short Courses Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Course Syllabus close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to TensorFlow from Basics to Math Theory. Some of you may have taken deep learning or machine learning from me and learned about the amazing things you can now do with deep learning machine learning. One of the best tools you can use to implement these algorithms is TensorFlow. Learning algorithms can be quite complicated, and today programming frameworks like TensorFlow, PyTorch, CAFE, and many others can save you a lot of time. These tools can be complicated, and what this set of courses will do is teach you how to use TensorFlow effectively. In order to teach much of these courses, I'm absolutely thrilled to introduce Lawrence Moroney. Thank you, Andrew. He is a developer advocate at Google and has been working on Google AI and TensorFlow. Lawrence has also written over 30 programming books, including four sci-fi novels. Yeah, exactly. I've been busy. I really enjoy writing, but the one thing I enjoy even more is learning and teaching AI. Actually, I've learned from the specializations that you mentioned, and I've learned from your courses, so it's a real honor to be here with you. Oh, thank you. I did not know that you were taking my courses as well. Thank you. Definitely. I was a big fan, and that's really what got me into AI. It's actually a long story. I started doing AI many, many years ago, back when it was things like Prolog and Lisp and all that, but now when we've gotten more into machine learning and deep learning with neural networks, I needed a place to learn it, and I actually learned it from your courses. It's been exciting to be actually coming full circle and now teaching it myself, too. Thank you. I actually did not know. So, thank you for sharing that. I caught you by surprise. So, where the industry is at right now is one of the things that really excites me, because it's exploding, right? There's deep learning, and machine learning skills are becoming ever more important and opening up whole new scenarios. One of the strange things and exciting things about machine learning and AI is that it's no longer just a technical thing limited to the software industry, so that everyone in, or at least every industry, needs to figure this out. Yeah, and it's exciting from a developer's perspective, because there's a new paradigm. The new paradigm, to me, is opening up scenarios that weren't previously possible, things that were too difficult for me to write programs for. And so, whatever it's like, whenever a new paradigm comes, and these new tools come, and you can open up new scenarios, then that opens up great new opportunities. Yeah, and I think one of the tragic things today is, even though the whole world sees their promise and the hope of these machine learning and AI capabilities changing so many things, the world just doesn't have enough AI developers today. Exactly. I mean, I've seen surveys of, like, you know, 25, 26 million software developers, and, like, maybe 300,000 AI practitioners. So, part of my personal passion is to try and turn, like, those 24.7 non-AI practitioners, a significant portion of them, into people who can understand AI and who can build the new and exciting things that we can't think of. Yeah. So, I think if you finish this set of courses and learn how to code in TensorFlow, hopefully that will help you do some of this exciting work and maybe become an AI developer. So, in the next video, you'll hear Lawrence talk about the differences between traditional programming paradigms versus the machine learning and deep learning programming paradigm, and you'll also hear about how to fit an X to Y data relationship, how to fit a straight line to data. So, please go on to the next video. Thank you. specialization detail TensorFlow Developer Professional Certificate Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Course 1 Convolutional Neural Networks in TensorFlow Course 2 Natural Language Processing in TensorFlow Course 3 Sequences, Time Series and Prediction Course 4 View All Courses Week 1 Week 1: A New Programming Paradigm Week 2: Introduction to Computer Vision Week 3: Enhancing Vision with Convolutional Neural Networks Week 4: Using Real-world Images Next Lesson Course Syllabus Week 1: A New Programming Paradigm A new programming paradigm Introduction: A conversation with Andrew Ng Video ・ 3 mins Welcome to the course! Reading ・ 1 min A primer in machine learning Video ・ 3 mins The ‘Hello World’ of neural networks Video ・ 5 mins Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas! Reading ・ 2 mins From rules to data Reading ・ 2 mins Working through ‘Hello World’ in TensorFlow and Python Video ・ 2 mins About the notebooks in this course Reading ・ 5 mins Get started with Google Colab (Coding TensorFlow) Resource ・ 4 mins Try it for yourself (Lab 1) Code Example ・ 30 mins Week 1 Quiz Graded ・Quiz ・ 30 mins Lecture Notes (Optional) Lecture Notes Week 1 Reading ・ 1 min Weekly Assignment - Your First Neural Network Assignment Troubleshooting Tips Reading ・ 5 mins Housing Prices Graded ・Code Assignment ・ 3 hours Week 1 Resources Reading ・ 5 mins Next Week 2: Introduction to Computer Vision Certificate Course Info | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/specializations/generative-ai-for-software-development | Generative AI for Software Development - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. For more detailed instructions, please visit our Reset Workspace Guide . 💻 Downloading Notebooks In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Download as" 3: Then, click on "Notebook (.ipynb)" 💻 Uploading Your Files After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files. 📗 See Your Progress Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one. Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view). 📱 Features to Use 🎞 Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed. 🗣 Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish. 🔅 Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality , choose the quality that works the best for your Internet speed. 🖥 Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. 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Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇 👉👉 🔗 DeepLearning.AI – All Short Courses [+] 🙂 Let Us Know What You Think Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view). Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum close Sign in Continue with Google Continue with LinkedIn Or, sign in with your email Email Password Sign in Forgot password? Don't have an account? Create account By signing up, you agree to our Terms Of Use and Privacy Policy close Create Your Account Continue with Google Continue with LinkedIn Or, sign up with your email Email Address Sign up Already have an account? Sign in here! By signing up, you agree to our Terms Of Use and Privacy Policy close Choose Your Plan Monthly Yearly Change Your Plan Your subscription plan will change at the end of your current billing period. You'll continue to have access to your current plan until then. Manage Subscription close Learn More Keep Current Plan close Welcome back! Hi , We'd like to know you better so we can create more relevant courses. What do you do for work? Subscribe to receive AI news, events and course updates from DeepLearning.AI ! Start Your Course You have successfully joined undefined You now have access to all Pro features. Click below to start learning! Start Learning close Course Syllabus close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Welcome to Generative AI for Software Development. Generative AI is helping many software developers write faster, better codes. And just to be clear, this specialization is not about writing generative AI applications. It's about how generative AI can help with software development, whether you're a data scientist, or front-end, or back-end, or full-stack, or mobile, or whatever type of developer. I'm here with Lawrence Moroney, who will be the instructor for these courses. You might be familiar with Lawrence from the TensorFlow courses he had taught with Deep Learning.ai some time back. Lawrence is also the author of more than 30 books, some sci-fi, some programming, many machine learning. And I'm excited to have him teach best practices for how you can write software better using generative AI. Always delighted to be here, Andrew, and to work alongside you and your team. So one of the things that I know you've been thinking about is the impact of generative AI on the day-to-day role of a software developer. How do you feel it's going to impact? What's that going to look like? You know, the thing that surprised me was how much more fun coding is with generative AI than without. Three weeks ago, I was trying to deploy something to the cloud service. I hadn't done it for a while, and I'd forgotten how to do it. And I thought, boy, if I had to go and read that documentation to figure it out, I could have done it. But frankly, it was much faster to prompt an LLM to guide me through the steps, which turned out to be almost correct, to help me pack this up in a docker container, push through the cloud service I was using, and just get the job done. So I find myself looking forward to coding more now that I know I have this coding companion. It's like generative AI buddy to help me along. It's those kind of drudgery tasks sometimes that take away from the joy of solving a particular problem. And when you have that pair of programmers alongside you to help you through those, it does make the overall task a lot more fun. Yeah, and productivity is one thing, all for that. I guess there was a McKinsey study, then a Cisco study that estimated something like 35-ish, maybe more, percentage improvements in productivity boost for code generation and various tasks. So productivity boost is great, all for that. But then the fun, you know, is a big bonus too. Oh, totally. I found myself, I'm sitting down and I'm enjoying coding much more than I had been previously because I'm spending more time thinking about the problem that I'm working on and thinking about how to implement that, solve that problem, as opposed to what do I do for user interface? What do I do for a docker container to push to the cloud and those type of things? It's really fun. So often in the room, on social media, there have been some very strident voices saying, you know, no one ever needs to write code and software engineers will be obsolete because of generative AI. I think we share some of you on that. Yeah, I mean, I honestly think that that viewpoint is wrong. And I'll come out and say that because I think, you know, your expertise as a software developer, if anything, is more important than ever in the age of generative AI, because it can make you have those superpowers, be more effective, be able to solve those domain problems, you know, and have fun while you're doing it. So you can as we've been sharing, so you can have a more fulfilling thing and, you know, just have a better time at work. In fact, what I suspect will happen is if indeed the estimates of, let's say, 35% productivity boost are accurate, then I think what will happen is people that use AI will replace people that don't. But AI won't replace software developers. And when I think about the studies showing meaningful productivity boosts already today, I think with the rapid pace of development, these gains will only expand and get even much bigger over time. So today, we promise to help us explain code, debug code, manage dependencies, all that is great. As we look in the future, with future generations of more agentic technologies, more secure things, I think it actually become more and more productive and more and more fun to have all these tools at your disposal. Oh, absolutely. And I also think that as if the word is shrinkification, the fact that LLMs are getting smaller but still being as effective, I really see that trend continuing and increasing and making, again, the job of a developer that bit easier. So now instead of outsourcing to a third party via a chat bot or those kind of things with your code, you could have an LLM running on your local machine that's trained on your code base, that's an expert on your domain that you can then use as that pair programmer alongside you. And I see that being a major trend. And in addition to that, of course, then many companies won't allow their source code to be shared outside. You can't bring it to chat GPT or cloud or anything like that. But when you have an internal model running on your own development box, that's when, again, I think the floodgates can open on these. For a lot of developers, when we get stuck on a task, both for novices, even for experienced developers, if you're learning something new, you sometimes get stuck. You've got to find a human expert to help you get unstuck. And I really like this analogy of pair programming. You always have a buddy with you now that you can ask a question from right away. And I think compared to waiting a day or whatever to track down that domain expert, not that the LLM always knows every answer, but the fact that your buddy can give you an answer right away, give you some options, I see this helping developers get unstuck. Not all the time, but at least much more rapidly. I found for me personally, sometimes if it's not helping solve the immediate problem, it sparks inspiration. Some of the answers that it gives will help me find a different track that I'm going to follow to be able to fix a particular problem or to go a whole new direction that I hadn't previously thought of. And it's that sparking of inspiration is one of the things that really can make the task more enjoyable. One of the things I really appreciate about insights you brought to our conversations was, I think a lot of us have been using generative AI to help with coding in ad hoc but effective ways. One of the things that I saw you do that I really appreciated was going through, frankly, a lot of tasks that developers have to go through and then to think through best practices, but how can generative AI help with different tasks? So for example, I just had not thought of using generative AI to help with test-driven development, to write tests, until I heard about that from you quite a while back now. But I think those systematic analysis of what are the things you could do, what are the best practices, I really appreciated your thinking that through putting it together for us. Oh, thank you. Thank you. Yeah. And it's like, and another one like in that realm that I love is dependency management, right? Because often bugs, there's nothing wrong with your code, it's just your dependency set. There's something mismatching in there. And to be able to use your friendly pair programmer LLM to help you through that, and has that understanding of dependencies and breaking changes and those types of things to guide you through that, there's a whole lot more to the universe of being a developer than just writing code. And I think having that LLM beside you through all of those tasks is really powerful and fun. Now, we speak about drudgery and not fun. Three years ago, I downloaded some open source code that uses Python 3.12. There's some weird features that I've never used. And then, thank goodness, LLM told me how to modify the code to be compatible with Python 3.10 or whatever it was using. And I think that kind of thing really saves developers a lot of time. And it does know Python 3.10 and Python 3.12 much better than I did. And so it could help me solve the problem quickly. Exactly. Exactly. And so changing tack for a second, we're looking at all these advancements and all these improvements. And what if we were to cast our eye down the road of time and think, what do you think software development will look like in five years with this? I think it's exciting. It feels like syntax is already becoming less important. So that's one fewer thing we need to memorize as much of. And then I think as AI becomes increasingly able to autonomously write code, test it with agentic workflows, AI can write code, test it, debug it. I feel like software developers can operate at a higher and higher level. I think there's plenty of work for us as humans to do to guide and supervise AI for a long time. But then, knowing where the technology is and staying with the technology, even as it matures, I think that'll be critical for us really doing the best work that we can. Sometimes when we start building a system, we start at the whiteboard, right? And we start drawing all these boxes and arrows between them and thinking about the constraints. And given the idea that today we generate code or we generate documentation or we generate test cases and other things from a prompt, it might be very interesting that in the not-too-distant future, those system specification designs that we draw, those boxes on a whiteboard could be the next prompt. And to be able to design systems off of those with multimodal models now being able to recognize imagery and being able to parse that kind of thing, that I can see that going back to that domain expertise, that when you have a domain expertise to solve a particular problem and you can draw the architecture of that, that that architecture can be implicitly turned into code, which would execute. And you may not even be interfacing that much with raw code, right? Unless you want to tweak and debug. And it's like, you know, five years from now, that could be a way that software developers will be even more effective. And it's something that I'm looking forward to. That's in the future. But what do we have today? So in this specialization, so we have three courses. The first thing that we do want to emphasize that this isn't a series of courses on how to build generative AI. This is a series of courses on how to use generative AI to be a better software developer. And the skills that we're looking at building here are really relevant for you in all areas. You know, as we've touched on a little bit already, it's not just coding, it's documentation, dependency management, testing, a little bit of architecture, all of that kind of stuff with Gen AI as your friend. So with these courses, anyone that writes code, we're going to adopt best practices and using generative AI to help with these. Can you say a bit more about what the three courses are about? Sure, sure. So we kind of broke the three courses into themes. So the first course is really for you as an individual software developer. It's going to introduce you a little bit to LLMs and how you can use them as a pair programmer. But then you're going to get into like prompting and system prompting and having an LLM play roles like software tester or any of those kind of roles of the type of people that you'd be working alongside to build better code. The second one then is really when you start thinking about collaboration with other people as a software engineer. You're going to work with testers, you're going to work with people who do documentation, you're going to be working with people who give you dependencies. They may be internal to your company or it might be third party dependencies like Python ones. And, you know, we're going to work through the skills of you being able to use an LLM to just be better at doing all of that. And then in the third and final course, it's like we're really going to take that to the professional software developer level where you can understand the full workflow of building and launching applications from the design phase with design patterns and the famous gang of four patterns through things like data serialization and database management. So that's really the whole idea of this, like to help you start as an individual developer, go on to working in a team and then go on to really being able to deploy professional solutions. And do these courses have any prerequisites? I think the only prerequisite here would be it's good to know a little bit of Python. So if you're a Python developer, it's good. We're also going to touch some other languages like Java and JavaScript, but we'll be primarily working in Python. So lots of things to learn in these courses. And with that, let's jump into how you can use large language models right away to help you with your coding. Let's go on to the next video to get started. specialization detail Generative AI for Software Development Introduction to Generative AI for Software Development Introduction to Generative AI for Software Development Course 1 Team Software Engineering with AI Course 2 AI-Powered Software and System Design Course 3 View All Courses Module 1 Module 1: Introduction to Generative AI Module 2: null Module 3: Pair-coding with an LLM Module 4: Leveraging an LLM for code analysis Next Lesson Course Syllabus Module 1: Introduction to Generative AI Course Introduction Conversation between Laurence Moroney and Andrew Ng Video ・ 11 mins Course 1 downloadable resources Reading ・ 2 mins Setting up your Jupyter environment Reading ・ 10 mins Essential reading: Engage directly with our Jupyter and ChatGPT labs Reading ・ 2 mins Introduction to Generative AI What is Generative AI? Video ・ 3 mins AI and machine learning Video ・ 3 mins Machine learning example Video ・ 4 mins Quiz 1 Graded ・Quiz ・ 15 mins Supervised learning Video ・ 4 mins Introduction to transformers Video ・ 2 mins Key transformer concepts Video ・ 6 mins Quiz 2 Graded ・Quiz ・ 15 mins [IMPORTANT] Have questions, issues or ideas? Join our Forum! Reading ・ 2 mins Next Module 2: null Certificate Course Info | 2026-01-13T09:29:58 |
https://ai.google.dev/api/generate-content?hl=tr#v1beta.GenerateContentResponse | Generating content | Gemini API | Google AI for Developers Ana içeriğe atla / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Shqip Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 API anahtarı alma Tarif Defteri Topluluk Oturum aç Dokümanlar API referansı Gemini API Dokümanlar API referansı API anahtarı alma Tarif Defteri Topluluk Genel bakış API sürümleri İşlemler Modeller İçerik oluşturuluyor Canlı API Live Music API Interactions API Simgeler Dosyalar Toplu API Önbelleğe alma Yerleştirmeler Dosya arama Dosya arama mağazaları Doküman Tüm yöntemler Kullanımdan kaldırıldı PaLM (artık kaldırıldı) SDK referansları Python Go TypeScript Java C# Ana Sayfa Gemini API API referansı Geri bildirim gönderin Generating content Gemini API; resim, ses, kod, araç ve daha fazlasını içeren içerik oluşturmayı destekler. Bu özelliklerin her biriyle ilgili ayrıntılar için okumaya devam edin ve göreve odaklanmış örnek kodu inceleyin veya kapsamlı kılavuzları okuyun. Metin oluşturma Görme Ses Yerleştirmeler Uzun bağlam Kod yürütme JSON Modu İşlev çağırma Sistem talimatları Yöntem: models.generateContent Uç nokta Yol parametreleri İstek metni JSON gösterimi Yanıt metni Yetkilendirme kapsamları Örnek istek Metin Resim Ses Video PDF Chat Önbellek Ayarlanmış Model (Tuned Model) JSON Modu Kod yürütme İşlev Çağırma Üretim yapılandırması Güvenlik Ayarları Sistem Talimatı (System Instruction) GenerateContentRequest girişiyle model yanıtı oluşturur. Ayrıntılı kullanım bilgileri için metin oluşturma kılavuzuna bakın. Ayarlanmış modeller de dahil olmak üzere modeller arasındaki giriş özellikleri farklıdır. Ayrıntılar için model kılavuzuna ve ayarlama kılavuzuna bakın. Uç nokta post https: / /generativelanguage.googleapis.com /v1beta /{model=models /*}:generateContent Yol parametreleri model string Zorunlu. Tamamlama oluşturmak için kullanılacak Model öğesinin adı. Biçim: models/{model} . models/{model} biçimindedir. İstek metni İstek içeriği aşağıdaki yapıyla birlikte verileri içerir: Alanlar contents[] object ( Content ) Zorunlu. Modelle yapılan mevcut görüşmenin içeriği. Tek dönüşlü sorgular için bu tek bir örnektir. Sohbet gibi çok turlu sorgular için bu, sohbet geçmişini ve son isteği içeren yinelenen bir alandır. tools[] object ( Tool ) İsteğe bağlı. Bir sonraki yanıtı oluşturmak için Tools Model kullanılabileceklerin listesi. Tool , sistemin Model 'nin bilgisi ve kapsamı dışında bir işlem veya işlemler dizisi gerçekleştirmek için harici sistemlerle etkileşime girmesini sağlayan bir kod parçasıdır. Desteklenen Tool 'ler Function ve codeExecution 'dir. Daha fazla bilgi için İşlev çağırma ve Kod yürütme kılavuzlarına bakın. toolConfig object ( ToolConfig ) İsteğe bağlı. İstekte belirtilen tüm Tool için araç yapılandırması. Kullanım örneği için İşlev çağırma kılavuzuna bakın. safetySettings[] object ( SafetySetting ) İsteğe bağlı. Güvenli olmayan içeriğin engellenmesi için benzersiz SafetySetting örneklerinin listesi. Bu kural GenerateContentRequest.contents ve GenerateContentResponse.candidates üzerinde zorunlu tutulacaktır. Her SafetyCategory türü için birden fazla ayar olmamalıdır. API, bu ayarlarda belirlenen eşikleri karşılamayan tüm içerikleri ve yanıtları engeller. Bu liste, safetySettings içinde belirtilen her SafetyCategory için varsayılan ayarları geçersiz kılar. Listede belirli bir SafetyCategory için SafetySetting yoksa API, bu kategori için varsayılan güvenlik ayarını kullanır. HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY zarar kategorileri desteklenir. Kullanılabilen güvenlik ayarları hakkında ayrıntılı bilgi için kılavuza bakın. Ayrıca, yapay zeka uygulamalarınıza güvenlik unsurlarını nasıl dahil edeceğinizi öğrenmek için Güvenlik rehberine de göz atın. systemInstruction object ( Content ) İsteğe bağlı. Geliştirici tarafından belirlenen sistem talimatları . Şu anda yalnızca metin desteklenmektedir. generationConfig object ( GenerationConfig ) İsteğe bağlı. Model oluşturma ve çıkışlarla ilgili yapılandırma seçenekleri. cachedContent string İsteğe bağlı. Tahmini sunmak için bağlam olarak kullanılacak önbelleğe alınan içeriğin adı. Biçim: cachedContents/{cachedContent} Örnek istek Metin Python from google import genai client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "Write a story about a magic backpack." ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Write a story about a magic backpack." , }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } contents := [] * genai . Content { genai . NewContentFromText ( "Write a story about a magic backpack." , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Write a story about a magic backpack."}] }] }' 2 > /dev/null text_generation.sh Java Client client = new Client (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "Write a story about a magic backpack." , null ); System . out . println ( response . text ()); TextGeneration . java Resim Python from google import genai import PIL.Image client = genai . Client () organ = PIL . Image . open ( media / "organ.jpg" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Tell me about this instrument" , organ ] ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const organ = await ai . files . upload ({ file : path . join ( media , "organ.jpg" ), }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Tell me about this instrument" , createPartFromUri ( organ . uri , organ . mimeType ) ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "organ.jpg" ), & genai . UploadFileConfig { MIMEType : "image/jpeg" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Tell me about this instrument" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use a temporary file to hold the base64 encoded image data TEMP_B64 = $( mktemp ) trap 'rm -f "$TEMP_B64"' EXIT base64 $B64FLAGS $IMG_PATH > " $TEMP_B64 " # Use a temporary file to hold the JSON payload TEMP_JSON = $( mktemp ) trap 'rm -f "$TEMP_JSON"' EXIT cat > " $TEMP_JSON " << EOF { "contents" : [{ "parts" : [ { "text" : "Tell me about this instrument" } , { "inline_data" : { "mime_type" : "image/jpeg" , "data" : " $( cat " $TEMP_B64 " ) " } } ] }] } EOF curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d "@ $TEMP_JSON " 2 > /dev/null text_generation.sh Java Client client = new Client (); String path = media_path + "organ.jpg" ; byte [] imageData = Files . readAllBytes ( Paths . get ( path )); Content content = Content . fromParts ( Part . fromText ( "Tell me about this instrument." ), Part . fromBytes ( imageData , "image/jpeg" )); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , content , null ); System . out . println ( response . text ()); TextGeneration . java Ses Python from google import genai client = genai . Client () sample_audio = client . files . upload ( file = media / "sample.mp3" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Give me a summary of this audio file." , sample_audio ], ) print ( response . text ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const audio = await ai . files . upload ({ file : path . join ( media , "sample.mp3" ), }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Give me a summary of this audio file." , createPartFromUri ( audio . uri , audio . mimeType ), ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "sample.mp3" ), & genai . UploadFileConfig { MIMEType : "audio/mpeg" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Give me a summary of this audio file." ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use File API to upload audio data to API request. MIME_TYPE = $( file -b --mime-type " ${ AUDIO_PATH } " ) NUM_BYTES = $( wc -c < " ${ AUDIO_PATH } " ) DISPLAY_NAME = AUDIO tmp_header_file = upload-header.tmp # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D upload-header.tmp \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ AUDIO_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Please describe this file."}, {"file_data":{"mime_type": "audio/mpeg", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh Video Python from google import genai import time client = genai . Client () # Video clip (CC BY 3.0) from https://peach.blender.org/download/ myfile = client . files . upload ( file = media / "Big_Buck_Bunny.mp4" ) print ( f " { myfile =} " ) # Poll until the video file is completely processed (state becomes ACTIVE). while not myfile . state or myfile . state . name != "ACTIVE" : print ( "Processing video..." ) print ( "File state:" , myfile . state ) time . sleep ( 5 ) myfile = client . files . get ( name = myfile . name ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ myfile , "Describe this video clip" ] ) print ( f " { response . text =} " ) text_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); let video = await ai . files . upload ({ file : path . join ( media , 'Big_Buck_Bunny.mp4' ), }); // Poll until the video file is completely processed (state becomes ACTIVE). while ( ! video . state || video . state . toString () !== 'ACTIVE' ) { console . log ( 'Processing video...' ); console . log ( 'File state: ' , video . state ); await sleep ( 5000 ); video = await ai . files . get ({ name : video . name }); } const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : [ createUserContent ([ "Describe this video clip" , createPartFromUri ( video . uri , video . mimeType ), ]), ], }); console . log ( response . text ); text_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "Big_Buck_Bunny.mp4" ), & genai . UploadFileConfig { MIMEType : "video/mp4" , }, ) if err != nil { log . Fatal ( err ) } // Poll until the video file is completely processed (state becomes ACTIVE). for file . State == genai . FileStateUnspecified || file . State != genai . FileStateActive { fmt . Println ( "Processing video..." ) fmt . Println ( "File state:" , file . State ) time . Sleep ( 5 * time . Second ) file , err = client . Files . Get ( ctx , file . Name , nil ) if err != nil { log . Fatal ( err ) } } parts := [] * genai . Part { genai . NewPartFromText ( "Describe this video clip" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk # Use File API to upload audio data to API request. MIME_TYPE = $( file -b --mime-type " ${ VIDEO_PATH } " ) NUM_BYTES = $( wc -c < " ${ VIDEO_PATH } " ) DISPLAY_NAME = VIDEO # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D " ${ tmp_header_file } " \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ VIDEO_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri state = $( jq ".file.state" file_info.json ) echo state = $state name = $( jq ".file.name" file_info.json ) echo name = $name while [[ "( $state )" = * "PROCESSING" * ]] ; do echo "Processing video..." sleep 5 # Get the file of interest to check state curl https://generativelanguage.googleapis.com/v1beta/files/ $name > file_info.json state = $( jq ".file.state" file_info.json ) done curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Transcribe the audio from this video, giving timestamps for salient events in the video. Also provide visual descriptions."}, {"file_data":{"mime_type": "video/mp4", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh PDF Python from google import genai client = genai . Client () sample_pdf = client . files . upload ( file = media / "test.pdf" ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = [ "Give me a summary of this document:" , sample_pdf ], ) print ( f " { response . text =} " ) text_generation . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } file , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "test.pdf" ), & genai . UploadFileConfig { MIMEType : "application/pdf" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromText ( "Give me a summary of this document:" ), genai . NewPartFromURI ( file . URI , file . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , contents , nil ) if err != nil { log . Fatal ( err ) } printResponse ( response ) text_generation . go kabuk MIME_TYPE = $( file -b --mime-type " ${ PDF_PATH } " ) NUM_BYTES = $( wc -c < " ${ PDF_PATH } " ) DISPLAY_NAME = TEXT echo $MIME_TYPE tmp_header_file = upload-header.tmp # Initial resumable request defining metadata. # The upload url is in the response headers dump them to a file. curl " ${ BASE_URL } /upload/v1beta/files?key= ${ GEMINI_API_KEY } " \ -D upload-header.tmp \ -H "X-Goog-Upload-Protocol: resumable" \ -H "X-Goog-Upload-Command: start" \ -H "X-Goog-Upload-Header-Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Header-Content-Type: ${ MIME_TYPE } " \ -H "Content-Type: application/json" \ -d "{'file': {'display_name': ' ${ DISPLAY_NAME } '}}" 2 > /dev/null upload_url = $( grep -i "x-goog-upload-url: " " ${ tmp_header_file } " | cut -d " " -f2 | tr -d "\r" ) rm " ${ tmp_header_file } " # Upload the actual bytes. curl " ${ upload_url } " \ -H "Content-Length: ${ NUM_BYTES } " \ -H "X-Goog-Upload-Offset: 0" \ -H "X-Goog-Upload-Command: upload, finalize" \ --data-binary "@ ${ PDF_PATH } " 2 > /dev/null > file_info.json file_uri = $( jq ".file.uri" file_info.json ) echo file_uri = $file_uri # Now generate content using that file curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Can you add a few more lines to this poem?"}, {"file_data":{"mime_type": "application/pdf", "file_uri": ' $file_uri '}}] }] }' 2 > /dev/null > response.json cat response.json echo jq ".candidates[].content.parts[].text" response.json text_generation.sh Sohbet Python from google import genai from google.genai import types client = genai . Client () # Pass initial history using the "history" argument chat = client . chats . create ( model = "gemini-2.0-flash" , history = [ types . Content ( role = "user" , parts = [ types . Part ( text = "Hello" )]), types . Content ( role = "model" , parts = [ types . Part ( text = "Great to meet you. What would you like to know?" ) ], ), ], ) response = chat . send_message ( message = "I have 2 dogs in my house." ) print ( response . text ) response = chat . send_message ( message = "How many paws are in my house?" ) print ( response . text ) chat . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const chat = ai . chats . create ({ model : "gemini-2.0-flash" , history : [ { role : "user" , parts : [{ text : "Hello" }], }, { role : "model" , parts : [{ text : "Great to meet you. What would you like to know?" }], }, ], }); const response1 = await chat . sendMessage ({ message : "I have 2 dogs in my house." , }); console . log ( "Chat response 1:" , response1 . text ); const response2 = await chat . sendMessage ({ message : "How many paws are in my house?" , }); console . log ( "Chat response 2:" , response2 . text ); chat . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Pass initial history using the History field. history := [] * genai . Content { genai . NewContentFromText ( "Hello" , genai . RoleUser ), genai . NewContentFromText ( "Great to meet you. What would you like to know?" , genai . RoleModel ), } chat , err := client . Chats . Create ( ctx , "gemini-2.0-flash" , nil , history ) if err != nil { log . Fatal ( err ) } firstResp , err := chat . SendMessage ( ctx , genai . Part { Text : "I have 2 dogs in my house." }) if err != nil { log . Fatal ( err ) } fmt . Println ( firstResp . Text ()) secondResp , err := chat . SendMessage ( ctx , genai . Part { Text : "How many paws are in my house?" }) if err != nil { log . Fatal ( err ) } fmt . Println ( secondResp . Text ()) chat . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key = $GEMINI_API_KEY \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [ {"role":"user", "parts":[{ "text": "Hello"}]}, {"role": "model", "parts":[{ "text": "Great to meet you. What would you like to know?"}]}, {"role":"user", "parts":[{ "text": "I have two dogs in my house. How many paws are in my house?"}]}, ] }' 2 > /dev/null | grep "text" chat.sh Java Client client = new Client (); Content userContent = Content . fromParts ( Part . fromText ( "Hello" )); Content modelContent = Content . builder () . role ( "model" ) . parts ( Collections . singletonList ( Part . fromText ( "Great to meet you. What would you like to know?" ) ) ). build (); Chat chat = client . chats . create ( "gemini-2.0-flash" , GenerateContentConfig . builder () . systemInstruction ( userContent ) . systemInstruction ( modelContent ) . build () ); GenerateContentResponse response1 = chat . sendMessage ( "I have 2 dogs in my house." ); System . out . println ( response1 . text ()); GenerateContentResponse response2 = chat . sendMessage ( "How many paws are in my house?" ); System . out . println ( response2 . text ()); ChatSession . java Önbellek Python from google import genai from google.genai import types client = genai . Client () document = client . files . upload ( file = media / "a11.txt" ) model_name = "gemini-1.5-flash-001" cache = client . caches . create ( model = model_name , config = types . CreateCachedContentConfig ( contents = [ document ], system_instruction = "You are an expert analyzing transcripts." , ), ) print ( cache ) response = client . models . generate_content ( model = model_name , contents = "Please summarize this transcript" , config = types . GenerateContentConfig ( cached_content = cache . name ), ) print ( response . text ) cache . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const filePath = path . join ( media , "a11.txt" ); const document = await ai . files . upload ({ file : filePath , config : { mimeType : "text/plain" }, }); console . log ( "Uploaded file name:" , document . name ); const modelName = "gemini-1.5-flash-001" ; const contents = [ createUserContent ( createPartFromUri ( document . uri , document . mimeType )), ]; const cache = await ai . caches . create ({ model : modelName , config : { contents : contents , systemInstruction : "You are an expert analyzing transcripts." , }, }); console . log ( "Cache created:" , cache ); const response = await ai . models . generateContent ({ model : modelName , contents : "Please summarize this transcript" , config : { cachedContent : cache . name }, }); console . log ( "Response text:" , response . text ); cache . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelName := "gemini-1.5-flash-001" document , err := client . Files . UploadFromPath ( ctx , filepath . Join ( getMedia (), "a11.txt" ), & genai . UploadFileConfig { MIMEType : "text/plain" , }, ) if err != nil { log . Fatal ( err ) } parts := [] * genai . Part { genai . NewPartFromURI ( document . URI , document . MIMEType ), } contents := [] * genai . Content { genai . NewContentFromParts ( parts , genai . RoleUser ), } cache , err := client . Caches . Create ( ctx , modelName , & genai . CreateCachedContentConfig { Contents : contents , SystemInstruction : genai . NewContentFromText ( "You are an expert analyzing transcripts." , genai . RoleUser , ), }) if err != nil { log . Fatal ( err ) } fmt . Println ( "Cache created:" ) fmt . Println ( cache ) // Use the cache for generating content. response , err := client . Models . GenerateContent ( ctx , modelName , genai . Text ( "Please summarize this transcript" ), & genai . GenerateContentConfig { CachedContent : cache . Name , }, ) if err != nil { log . Fatal ( err ) } printResponse ( response ) cache . go Tuned Model Python # With Gemini 2 we're launching a new SDK. See the following doc for details. # https://ai.google.dev/gemini-api/docs/migrate README.md JSON Modu Python from google import genai from google.genai import types from typing_extensions import TypedDict class Recipe ( TypedDict ): recipe_name : str ingredients : list [ str ] client = genai . Client () result = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "List a few popular cookie recipes." , config = types . GenerateContentConfig ( response_mime_type = "application/json" , response_schema = list [ Recipe ] ), ) print ( result ) controlled_generation . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "List a few popular cookie recipes." , config : { responseMimeType : "application/json" , responseSchema : { type : "array" , items : { type : "object" , properties : { recipeName : { type : "string" }, ingredients : { type : "array" , items : { type : "string" } }, }, required : [ "recipeName" , "ingredients" ], }, }, }, }); console . log ( response . text ); controlled_generation . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } schema := & genai . Schema { Type : genai . TypeArray , Items : & genai . Schema { Type : genai . TypeObject , Properties : map [ string ] * genai . Schema { "recipe_name" : { Type : genai . TypeString }, "ingredients" : { Type : genai . TypeArray , Items : & genai . Schema { Type : genai . TypeString }, }, }, Required : [] string { "recipe_name" }, }, } config := & genai . GenerateContentConfig { ResponseMIMEType : "application/json" , ResponseSchema : schema , } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , genai . Text ( "List a few popular cookie recipes." ), config , ) if err != nil { log . Fatal ( err ) } printResponse ( response ) controlled_generation . go kabuk curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -d '{ "contents": [{ "parts":[ {"text": "List 5 popular cookie recipes"} ] }], "generationConfig": { "response_mime_type": "application/json", "response_schema": { "type": "ARRAY", "items": { "type": "OBJECT", "properties": { "recipe_name": {"type":"STRING"}, } } } } }' 2 > /dev/null | head controlled_generation.sh Java Client client = new Client (); Schema recipeSchema = Schema . builder () . type ( Array . class . getSimpleName ()) . items ( Schema . builder () . type ( Object . class . getSimpleName ()) . properties ( Map . of ( "recipe_name" , Schema . builder () . type ( String . class . getSimpleName ()) . build (), "ingredients" , Schema . builder () . type ( Array . class . getSimpleName ()) . items ( Schema . builder () . type ( String . class . getSimpleName ()) . build ()) . build ()) ) . required ( List . of ( "recipe_name" , "ingredients" )) . build ()) . build (); GenerateContentConfig config = GenerateContentConfig . builder () . responseMimeType ( "application/json" ) . responseSchema ( recipeSchema ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "List a few popular cookie recipes." , config ); System . out . println ( response . text ()); ControlledGeneration . java Kod yürütme Python from google import genai from google.genai import types client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-pro-exp-02-05" , contents = ( "Write and execute code that calculates the sum of the first 50 prime numbers. " "Ensure that only the executable code and its resulting output are generated." ), ) # Each part may contain text, executable code, or an execution result. for part in response . candidates [ 0 ] . content . parts : print ( part , " \n " ) print ( "-" * 80 ) # The .text accessor concatenates the parts into a markdown-formatted text. print ( " \n " , response . text ) code_execution . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-pro-exp-02-05" , genai . Text ( `Write and execute code that calculates the sum of the first 50 prime numbers. Ensure that only the executable code and its resulting output are generated.` , ), & genai . GenerateContentConfig {}, ) if err != nil { log . Fatal ( err ) } // Print the response. printResponse ( response ) fmt . Println ( "--------------------------------------------------------------------------------" ) fmt . Println ( response . Text ()) code_execution . go Java Client client = new Client (); String prompt = """ Write and execute code that calculates the sum of the first 50 prime numbers. Ensure that only the executable code and its resulting output are generated. """ ; GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-pro-exp-02-05" , prompt , null ); for ( Part part : response . candidates (). get (). getFirst (). content (). get (). parts (). get ()) { System . out . println ( part + "\n" ); } System . out . println ( "-" . repeat ( 80 )); System . out . println ( response . text ()); CodeExecution . java İşlev Çağırma Python from google import genai from google.genai import types client = genai . Client () def add ( a : float , b : float ) - > float : """returns a + b.""" return a + b def subtract ( a : float , b : float ) - > float : """returns a - b.""" return a - b def multiply ( a : float , b : float ) - > float : """returns a * b.""" return a * b def divide ( a : float , b : float ) - > float : """returns a / b.""" return a / b # Create a chat session; function calling (via tools) is enabled in the config. chat = client . chats . create ( model = "gemini-2.0-flash" , config = types . GenerateContentConfig ( tools = [ add , subtract , multiply , divide ]), ) response = chat . send_message ( message = "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" ) print ( response . text ) function_calling . py Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } modelName := "gemini-2.0-flash" // Create the function declarations for arithmetic operations. addDeclaration := createArithmeticToolDeclaration ( "addNumbers" , "Return the result of adding two numbers." ) subtractDeclaration := createArithmeticToolDeclaration ( "subtractNumbers" , "Return the result of subtracting the second number from the first." ) multiplyDeclaration := createArithmeticToolDeclaration ( "multiplyNumbers" , "Return the product of two numbers." ) divideDeclaration := createArithmeticToolDeclaration ( "divideNumbers" , "Return the quotient of dividing the first number by the second." ) // Group the function declarations as a tool. tools := [] * genai . Tool { { FunctionDeclarations : [] * genai . FunctionDeclaration { addDeclaration , subtractDeclaration , multiplyDeclaration , divideDeclaration , }, }, } // Create the content prompt. contents := [] * genai . Content { genai . NewContentFromText ( "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , genai . RoleUser , ), } // Set up the generate content configuration with function calling enabled. config := & genai . GenerateContentConfig { Tools : tools , ToolConfig : & genai . ToolConfig { FunctionCallingConfig : & genai . FunctionCallingConfig { // The mode equivalent to FunctionCallingConfigMode.ANY in JS. Mode : genai . FunctionCallingConfigModeAny , }, }, } genContentResp , err := client . Models . GenerateContent ( ctx , modelName , contents , config ) if err != nil { log . Fatal ( err ) } // Assume the response includes a list of function calls. if len ( genContentResp . FunctionCalls ()) == 0 { log . Println ( "No function call returned from the AI." ) return nil } functionCall := genContentResp . FunctionCalls ()[ 0 ] log . Printf ( "Function call: %+v\n" , functionCall ) // Marshal the Args map into JSON bytes. argsMap , err := json . Marshal ( functionCall . Args ) if err != nil { log . Fatal ( err ) } // Unmarshal the JSON bytes into the ArithmeticArgs struct. var args ArithmeticArgs if err := json . Unmarshal ( argsMap , & args ); err != nil { log . Fatal ( err ) } // Map the function name to the actual arithmetic function. var result float64 switch functionCall . Name { case "addNumbers" : result = add ( args . FirstParam , args . SecondParam ) case "subtractNumbers" : result = subtract ( args . FirstParam , args . SecondParam ) case "multiplyNumbers" : result = multiply ( args . FirstParam , args . SecondParam ) case "divideNumbers" : result = divide ( args . FirstParam , args . SecondParam ) default : return fmt . Errorf ( "unimplemented function: %s" , functionCall . Name ) } log . Printf ( "Function result: %v\n" , result ) // Prepare the final result message as content. resultContents := [] * genai . Content { genai . NewContentFromText ( "The final result is " + fmt . Sprintf ( "%v" , result ), genai . RoleUser ), } // Use GenerateContent to send the final result. finalResponse , err := client . Models . GenerateContent ( ctx , modelName , resultContents , & genai . GenerateContentConfig {}) if err != nil { log . Fatal ( err ) } printResponse ( finalResponse ) function_calling . go Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); /** * The add function returns the sum of two numbers. * @param {number} a * @param {number} b * @returns {number} */ function add ( a , b ) { return a + b ; } /** * The subtract function returns the difference (a - b). * @param {number} a * @param {number} b * @returns {number} */ function subtract ( a , b ) { return a - b ; } /** * The multiply function returns the product of two numbers. * @param {number} a * @param {number} b * @returns {number} */ function multiply ( a , b ) { return a * b ; } /** * The divide function returns the quotient of a divided by b. * @param {number} a * @param {number} b * @returns {number} */ function divide ( a , b ) { return a / b ; } const addDeclaration = { name : "addNumbers" , parameters : { type : "object" , description : "Return the result of adding two numbers." , properties : { firstParam : { type : "number" , description : "The first parameter which can be an integer or a floating point number." , }, secondParam : { type : "number" , description : "The second parameter which can be an integer or a floating point number." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const subtractDeclaration = { name : "subtractNumbers" , parameters : { type : "object" , description : "Return the result of subtracting the second number from the first." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const multiplyDeclaration = { name : "multiplyNumbers" , parameters : { type : "object" , description : "Return the product of two numbers." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; const divideDeclaration = { name : "divideNumbers" , parameters : { type : "object" , description : "Return the quotient of dividing the first number by the second." , properties : { firstParam : { type : "number" , description : "The first parameter." , }, secondParam : { type : "number" , description : "The second parameter." , }, }, required : [ "firstParam" , "secondParam" ], }, }; // Step 1: Call generateContent with function calling enabled. const generateContentResponse = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , config : { toolConfig : { functionCallingConfig : { mode : FunctionCallingConfigMode . ANY , }, }, tools : [ { functionDeclarations : [ addDeclaration , subtractDeclaration , multiplyDeclaration , divideDeclaration , ], }, ], }, }); // Step 2: Extract the function call.( // Assuming the response contains a 'functionCalls' array. const functionCall = generateContentResponse . functionCalls && generateContentResponse . functionCalls [ 0 ]; console . log ( functionCall ); // Parse the arguments. const args = functionCall . args ; // Expected args format: { firstParam: number, secondParam: number } // Step 3: Invoke the actual function based on the function name. const functionMapping = { addNumbers : add , subtractNumbers : subtract , multiplyNumbers : multiply , divideNumbers : divide , }; const func = functionMapping [ functionCall . name ]; if ( ! func ) { console . error ( "Unimplemented error:" , functionCall . name ); return generateContentResponse ; } const resultValue = func ( args . firstParam , args . secondParam ); console . log ( "Function result:" , resultValue ); // Step 4: Use the chat API to send the result as the final answer. const chat = ai . chats . create ({ model : "gemini-2.0-flash" }); const chatResponse = await chat . sendMessage ({ message : "The final result is " + resultValue , }); console . log ( chatResponse . text ); return chatResponse ; } function_calling . js kabuk cat > tools.json << EOF { "function_declarations" : [ { "name" : "enable_lights" , "description" : "Turn on the lighting system." } , { "name" : "set_light_color" , "description" : "Set the light color. Lights must be enabled for this to work." , "parameters" : { "type" : "object" , "properties" : { "rgb_hex" : { "type" : "string" , "description" : "The light color as a 6-digit hex string, e.g. ff0000 for red." } } , "required" : [ "rgb_hex" ] } } , { "name" : "stop_lights" , "description" : "Turn off the lighting system." } ] } EOF curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key= $GEMINI_API_KEY " \ -H 'Content-Type: application/json' \ -d @< ( echo ' { "system_instruction": { "parts": { "text": "You are a helpful lighting system bot. You can turn lights on and off, and you can set the color. Do not perform any other tasks." } }, "tools": [' $( cat tools.json ) '], "tool_config": { "function_calling_config": {"mode": "auto"} }, "contents": { "role": "user", "parts": { "text": "Turn on the lights please." } } } ' ) 2 >/dev/null | sed -n '/"content"/,/"finishReason"/p' function_calling.sh Java Client client = new Client (); FunctionDeclaration addFunction = FunctionDeclaration . builder () . name ( "addNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration subtractFunction = FunctionDeclaration . builder () . name ( "subtractNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration multiplyFunction = FunctionDeclaration . builder () . name ( "multiplyNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); FunctionDeclaration divideFunction = FunctionDeclaration . builder () . name ( "divideNumbers" ) . parameters ( Schema . builder () . type ( "object" ) . properties ( Map . of ( "firstParam" , Schema . builder (). type ( "number" ). description ( "First number" ). build (), "secondParam" , Schema . builder (). type ( "number" ). description ( "Second number" ). build ())) . required ( Arrays . asList ( "firstParam" , "secondParam" )) . build ()) . build (); GenerateContentConfig config = GenerateContentConfig . builder () . toolConfig ( ToolConfig . builder (). functionCallingConfig ( FunctionCallingConfig . builder (). mode ( "ANY" ). build () ). build ()) . tools ( Collections . singletonList ( Tool . builder (). functionDeclarations ( Arrays . asList ( addFunction , subtractFunction , divideFunction , multiplyFunction ) ). build () ) ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "I have 57 cats, each owns 44 mittens, how many mittens is that in total?" , config ); if ( response . functionCalls () == null || response . functionCalls (). isEmpty ()) { System . err . println ( "No function call received" ); return null ; } var functionCall = response . functionCalls (). getFirst (); String functionName = functionCall . name (). get (); var arguments = functionCall . args (); Map<String , BiFunction<Double , Double , Double >> functionMapping = new HashMap <> (); functionMapping . put ( "addNumbers" , ( a , b ) - > a + b ); functionMapping . put ( "subtractNumbers" , ( a , b ) - > a - b ); functionMapping . put ( "multiplyNumbers" , ( a , b ) - > a * b ); functionMapping . put ( "divideNumbers" , ( a , b ) - > b != 0 ? a / b : Double . NaN ); BiFunction<Double , Double , Double > function = functionMapping . get ( functionName ); Number firstParam = ( Number ) arguments . get (). get ( "firstParam" ); Number secondParam = ( Number ) arguments . get (). get ( "secondParam" ); Double result = function . apply ( firstParam . doubleValue (), secondParam . doubleValue ()); System . out . println ( result ); FunctionCalling . java Oluşturma yapılandırması Python from google import genai from google.genai import types client = genai . Client () response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = "Tell me a story about a magic backpack." , config = types . GenerateContentConfig ( candidate_count = 1 , stop_sequences = [ "x" ], max_output_tokens = 20 , temperature = 1.0 , ), ) print ( response . text ) configure_model_parameters . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : "Tell me a story about a magic backpack." , config : { candidateCount : 1 , stopSequences : [ "x" ], maxOutputTokens : 20 , temperature : 1.0 , }, }); console . log ( response . text ); configure_model_parameters . js Go ctx := context . Background () client , err := genai . NewClient ( ctx , & genai . ClientConfig { APIKey : os . Getenv ( "GEMINI_API_KEY" ), Backend : genai . BackendGeminiAPI , }) if err != nil { log . Fatal ( err ) } // Create local variables for parameters. candidateCount := int32 ( 1 ) maxOutputTokens := int32 ( 20 ) temperature := float32 ( 1.0 ) response , err := client . Models . GenerateContent ( ctx , "gemini-2.0-flash" , genai . Text ( "Tell me a story about a magic backpack." ), & genai . GenerateContentConfig { CandidateCount : candidateCount , StopSequences : [] string { "x" }, MaxOutputTokens : maxOutputTokens , Temperature : & temperature , }, ) if err != nil { log . Fatal ( err ) } printResponse ( response ) configure_model_parameters . go kabuk curl https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key = $GEMINI_API_KEY \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[ {"text": "Explain how AI works"} ] }], "generationConfig": { "stopSequences": [ "Title" ], "temperature": 1.0, "maxOutputTokens": 800, "topP": 0.8, "topK": 10 } }' 2 > /dev/null | grep "text" configure_model_parameters.sh Java Client client = new Client (); GenerateContentConfig config = GenerateContentConfig . builder () . candidateCount ( 1 ) . stopSequences ( List . of ( "x" )) . maxOutputTokens ( 20 ) . temperature ( 1.0F ) . build (); GenerateContentResponse response = client . models . generateContent ( "gemini-2.0-flash" , "Tell me a story about a magic backpack." , config ); System . out . println ( response . text ()); ConfigureModelParameters . java Güvenlik ayarları Python from google import genai from google.genai import types client = genai . Client () unsafe_prompt = ( "I support Martians Soccer Club and I think Jupiterians Football Club sucks! " "Write a ironic phrase about them including expletives." ) response = client . models . generate_content ( model = "gemini-2.0-flash" , contents = unsafe_prompt , config = types . GenerateContentConfig ( safety_settings = [ types . SafetySetting ( category = "HARM_CATEGORY_HATE_SPEECH" , threshold = "BLOCK_MEDIUM_AND_ABOVE" , ), types . SafetySetting ( category = "HARM_CATEGORY_HARASSMENT" , threshold = "BLOCK_ONLY_HIGH" ), ] ), ) try : print ( response . text ) except Exception : print ( "No information generated by the model." ) print ( response . candidates [ 0 ] . safety_ratings ) safety_settings . py Node.js // Make sure to include the following import: // import {GoogleGenAI} from '@google/genai'; const ai = new GoogleGenAI ({ apiKey : process . env . GEMINI_API_KEY }); const unsafePrompt = "I support Martians Soccer Club and I think Jupiterians Football Club sucks! Write a ironic phrase about them including expletives." ; const response = await ai . models . generateContent ({ model : "gemini-2.0-flash" , contents : unsafePrompt , config : { safetySettings : [ { category : "HARM_CATEGORY_HATE_SPEECH" , threshold : "BLOCK_MEDIUM_AND_ABOVE" , }, { category : "HARM_CATEGORY_HARASSMENT" , threshold : "BLOCK_ONLY_HIGH" , }, ], }, }); try { console . log ( "Generated text:" , response . text ); } catch ( error ) { c | 2026-01-13T09:29:58 |
https://learn.deeplearning.ai/courses/machine-learning-in-production | Machine Learning in Production - DeepLearning.AI close Quick Guide & Tips 💻 Accessing Utils File and Helper Functions In each notebook on the top menu: 1: Click on "File" 2: Then, click on "Open" You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above. 🔄 Reset User Workspace If you need to reset your workspace to its original state, follow these quick steps: 1: Access the Menu: Look for the three-dot menu (⋮) in the top-right corner of the notebook toolbar. 2: Restore Original Version: Click on "Restore Original Version" from the dropdown menu. 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Start Learning close Course Syllabus close Explore Courses Membership Community Forum Events Ambassadors Ambassador Spotlight My Learning Elevate Your Career with Full Learning Experience Unlock Plus AI learning and gain exclusive insights from industry leaders Access exclusive features like graded notebooks and quizzes Earn unlimited certificates to enhance your resume Starting at $1 USD/mo after a free trial – cancel anytime Start 7-day Free Trial Access as Audit Sign In Hi and welcome to Machine Learning Engineering 4 production. A lot of learners have asked me, hey Andrew, I've learned to train a machine learning model, now what do I do? Machine learning models are great, but unless you know how to put them into production, it's hard to get them to create the maximum amount of possible value. Or for those of you that may be looking for a position in machine learning, many interviewers will ask, have you ever deployed a machine learning algorithm in production? In this four course specialization, the first course taught by me, the second, third, and fourth courses taught by Robert Crowe, who's an expert at this from Google, we hope to share with you the practical hands-on skills and techniques you need to not just build a machine learning model, but also to put them into production. And so by the end of this first course, and by the end of this specialization, I hope you have a good sense of the entire life cycle of machine learning project, from training a model to putting into production, and really how to manage the entire machine learning project. Let's jump in. Let's start with an example. Let's say you're using computer vision to inspect phones coming off the manufacturing line to see if there are defects on them. So this phone shown on the left doesn't have any scratches on it, but if there was a scratch or crack or something, a computer vision algorithm would hopefully be able to find this type of scratch or defect and maybe put a bounding box around it as part of quality control. If you get a data set of scratched phones, you can train a computer vision algorithm, maybe a neural network, to detect these types of defects. But what do you now need to do in order to put this into production deployment? This would be an example of how you could deploy a system like this. You might have an edge device. By edge device, I mean a device that is living inside the factory that is manufacturing these smartphones, and that edge device would have a piece of inspection software whose job it is to take a picture of the phone, see if there's a scratch, and then make a decision on whether this phone is acceptable or not. This is actually commonly done in factories. This is called automated visual defect inspection. What the inspection software does is it will control a camera that will take a picture of the smartphone as it rolls off the manufacturing line, and it then has to make an API call to pass this picture to a prediction server, and the job of the prediction server is to accept these API calls, receive an image, make a decision as to whether or not this phone is defective, and return this prediction, and then the inspection software can make the appropriate control decision whether to let this phone move on in the manufacturing line or whether to shove it to the side because it was defective and not acceptable. After you have trained a learning algorithm, maybe trained a neural network, to take as input x pictures of phones and map them to y, predictions about whether the phone is defective or not, you still have to take this machine learning model, put it in a prediction server, set up API interfaces, and really write all of the rest of the software in order to deploy this learning algorithm into production. This prediction server is sometimes in the cloud, and sometimes the prediction server is actually at the edge as well. In fact, in manufacturing, we use edge deployments a lot because you can't have your factory go down every time your internet access goes down, but cloud deployments with prediction server as a server in the cloud is also used for many applications. Let's say you write all the software. What could possibly go wrong? It turns out that just because you've trained a learning algorithm that does well on your test set, which is to be celebrated, it's great when you do well on your whole test set. Unfortunately, reaching that milestone doesn't mean you're done. There can still be quite a lot of work and challenges ahead to get a valuable production deployment running. For example, let's say your training set has images that look like this. There's a good phone on the left, the one in the middle has a big scratch across it, and you've trained your learning algorithm to recognize that phones like this on the left are okay, meaning there are no defects, and maybe draw bounding boxes around scratches or other defects it finds in phones. When you deploy it in the factory, you may find that the real-life production deployment gives you back images like this, much darker ones, because the lighting conditions in the factory have changed for some reason compared to the time when the training set was collected. This problem is sometimes called concept drift or data drift. You'll learn more about these terms later in this week, but this is one example of the many practical problems that we as machine learning engineers should step up to solve if we want to make sure that we don't just do well on the whole test set, but that our systems actually create value in a practical production deployment environment. I've worked on quite a few projects where my machine learning team and I would successfully nail a proof of concept, and by that I mean we train a model in a Jupyter notebook and it will work great, and we will celebrate that. You should celebrate it when you have a learning algorithm work well in a Jupyter notebook or in a development environment. But it turns out that sometimes I'll see many projects where that success, which is a great success, to the practical deployment is still maybe another six months of work, and this is just one of many of the practical things that a machine learning team has to watch out for and handle in order to actually deploy these systems. Some machine learning engineers will say it's not a machine learning problem to address these problems. You know, the data set changes. Some machine learning engineers think, well, is that a machine learning problem? My point of view is that our job is to make these things work, and so if the data set has changed, I think of it as my responsibility when I work on a project to step in and do what I can to address the data distribution as it is rather than as I wish it is. A second challenge of deploying machine learning models in production is that it takes a lot more than machine learning code. Over the last decade, there's been a lot of attention on machine learning models, so your neural network or other algorithm that learns a function mapping from some input to some output, and there's been amazing progress in machine learning models. But it turns out that if you look at a machine learning system in production, if this little orange rectangle represents the machine learning code, the machine learning model code, then this is all the code you need for the entire machine learning project. I feel like for many machine learning projects, maybe only 5 to 10 percent, maybe even less of the code is machine learning code, and I think this is one of the reasons why when you have a proof of concept model working, maybe in Jupyter Notebook, it can still be a lot of work to go from that initial proof of concept to the production deployment. So sometimes people refer to the POC or the proof of concept to production gap, and a lot of that gap is sometimes just the sheer amount of work it is to also write all of this code out here beyond the initial machine learning model code. So what is all this other stuff? This is a diagram that I've adapted from a paper by Dee Scully and others. Beyond the machine learning code, there are also many components, especially components for managing the data, such as data collection, data verification, feature extraction, and after you are serving it, how to monitor the system, monitor the data comes back, helps you analyze it, but there are often many other components that need to be built to enable a working production deployment. So in this course, you learn what are all of these other pieces of software needed for a valuable production deployment. But rather than looking at all of these complex pieces, one of the most useful frameworks I found for organizing the workflow of a machine learning project is to systematically plan out the life cycle of a machine learning project. Let's go to the next video to dive in to what is the full life cycle of a machine learning project, and I hope this framework will be very useful for all of your machine learning projects that you plan to deploy in the future. Let's go to the next video. course detail Machine Learning in Production Week 1 Week 1: Overview of the ML Lifecycle and Deployment Week 2: Modeling Challenges and Strategies Week 3: Data Definition and Baseline Next Lesson Course Syllabus Week 1: Overview of the ML Lifecycle and Deployment The Machine Learning Project Lifecycle Welcome Video ・ 9 mins Steps of an ML Project Video ・ 3 mins Case study: speech recognition Video ・ 12 mins Course outline Video ・ 2 mins Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas! Reading ・ 2 mins The Machine Learning Project Lifecycle Graded ・Quiz ・ 10 mins Deployment Key challenges Video ・ 14 mins Deployment patterns Video ・ 11 mins Monitoring Video ・ 10 mins Pipeline monitoring Video ・ 9 mins Deployment Graded ・Quiz ・ 10 mins Week 1 Optional References Reading ・ 3 mins Lecture Notes (Optional) Lecture Notes Week 1 Reading ・ 1 min Ungraded Lab Deploying a Deep Learning model Code Example ・ 30 mins Deploying a deep learning model with Docker and a cloud service (optional) Code Example ・ 1 hour Next Week 2: Modeling Challenges and Strategies Certificate Course Info | 2026-01-13T09:29:58 |
https://play.google.com/store/apps/details?id=notion.id&hl=es_VE | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L1 | 2026-01-13T09:29:58 |
https://snyk.io/es/product/studio/ | Snyk Studio | Prevent Vulnerabilities in AI-Generated Code & Remediation at AI Speed | Snyk You need to enable JavaScript to run this app. Skip to main content Plataforma Plataforma Plataforma Snyk AI Trust Seguridad moderna en una única plataforma Flujos de trabajo de IA de Snyk Flujos de trabajo basados en IA para proteger aplicaciones DeepCode AI IA de seguridad diseñada específicamente Integraciones Seguridad que abarca todo el SDLC Snyk Learn Formación en seguridad para desarrolladores Precios Productos Snyk Code Protege el código a medida que lo escribes Snyk Open Source Evita tener dependencias vulnerables Snyk Container Mantén seguras tus imágenes base Snyk IaC Corrige configuraciones incorrectas de IaC en el código Snyk API & Web Encuentra y prueba API y aplicaciones web Snyk Studio Fix and secure AI-generated code Soluciones Código seguro generado por IA La IA escribe, Snyk asegura Seguridad de la aplicación Desarrolla con seguridad, mantente seguro Seguridad de la cadena de suministro de software Mitiga el riesgo de la cadena de suministro Vulnerabilidades de día cero Arregla el primer día con Snyk Inteligencia en materia de seguridad Datos completos sobre vulnerabilidad Verificador de códigos Escribe mejor código gratis Risk-Based Prioritization Fix what matters most Snyk anunció la primera plataforma AI Trust Mira a pedido Recursos Nuestros recursos Biblioteca de recursos Consulta nuestra amplia base de datos Recursos para los clientes La tienda “todo en uno” para los clientes Hacking ético Cómo puede ayudarte el hacking ético Las 10 principales vulnerabilidades Ver los tipos de vulnerabilidades más comunes Blog de Snyk Pódcasts de Snyk YouTube de Snyk AI Glossary Conocimientos y documentos Snyk Labs Investigación de IA, vulnerabilidades y DevSecOps Snyk Learn Formación en seguridad de Snyk Documentos de usuario de Snyk Empieza a utilizar Snyk Soporte de Snyk ¿Cómo podemos ayudar? Base de datos de vulnerabilidades de Snyk Descubre nuevas vulnerabilidades Actualizaciones de Snyk Mantente informado Snyk Partner Solutions Directory Explora las integraciones de socios de Snyk Nuestra comunidad y juegos Eventos y seminarios web Embajadores Comunidad de DevSecCon VulnVortex Audiencia Snyk para desarrolladores Información centrada en el desarrollo bajo demanda Snyk para el gobierno AppSec basada en la misión Snyk para líderes de seguridad Opiniones de los líderes del sector Presentación de Snyk Labs Ver sitio web Empresa Empresa La plataforma de seguridad para desarrolladores Snyk te ofrece la visibilidad, el contexto y el control que necesitas para trabajar junto a los desarrolladores en la reducción del riesgo de las aplicaciones. Subscribe to our newsletter Nuestros servicios Maximiza el ROI de tu AppSec Nuestros clientes Ayudamos a los clientes a ahorrar tiempo y dinero Nuestros socios Seguridad de clase empresarial con socios Estudios de casos Consulta las historias y estadísticas de nuestros clientes Prensa Consulta los últimos comunicados de prensa Contáctanos Ponte en contacto con nosotros si tienes preguntas o comentarios Empleos Únete hoy a Snyk Serie de clases magistrales de Snyk Explorar eventos y seminarios web Precios Evo New ES Selecciona tu idioma English Deutsch Español Français 日本語 Português (BR) Inicio de sesión Clientes del plan Gratis y Equipo Snyk app.snyk.io Clientes del plan Empresarial 🇺🇸 Snyk US - 1 app.snyk.io 🇺🇸 Snyk US - 2 app.us.snyk.io 🇪🇺 Snyk EU app.eu.snyk.io 🇦🇺 Snyk AU app.au.snyk.io La región donde se alojan tus datos se rige por acuerdos locales, y puede no coincidir con tu propia ubicación. Descubre más . Snyk API & Web - Todos los clientes Snyk API & Web (DAST) plus.probely.app Regístrate Reserva una demostración en vivo Snyk Studio Overview Docs Select Overview Docs Snyk studio Innovate with AI. Securely. Stop new AI-generated vulnerabilities before they’re created and clear your existing security debt at AI speed — all from within your workflow. Get started in just a few clicks Get a demo The only product built for the new reality of AI development The rapid adoption of AI creates a two-front security challenge : you must prevent new AI-generated vulnerabilities from being created, and you must clear the existing security debt that's holding you back. Snyk Studio is the only solution built to solve both, embedding Snyk's fast, accurate, and trusted security intelligence directly into the AI-assisted workflows your developers already use. Secure at Inception Enable secure AI innovation at scale. Confidently embrace the speed of AI code assistants across your organization without accepting the associated risks. See in action Intelligent Remediation Eliminate security debt at scale. Combine Snyk with the power of AI to find and fix existing vulnerabilities at unprecedented speed, using the workflows your developers prefer. See in action A complete solution for AI-driven security Snyk Studio provides the capabilities you need to solve the two-front security challenge. From proactively preventing new AI-generated vulnerabilities to clearing existing security debt with intelligent remediation, our product embeds market-leading security intelligence directly into the workflows your developers already love. Real-time AI guardrails Instantly guide your AI tool with Snyk’s security directives to intercept and fix insecure code recommendations before a developer accepts them. Streamlined developer experience Get started in minutes. Snyk offers tools and guided setup for individuals, with flexible "Secure at Inception" scan options to ensure security is seamlessly embedded within their AI development workflow. Enterprise-scale rollout Deploy to thousands with one command. Use endpoint management tools (e.g., Jamf) to silently and automatically deploy Snyk Studio with predefined directives, ensuring 100% adoption and a secure-by-default environment for every developer. Tool-agnostic control Enforce one security policy, everywhere. Snyk Studio provides tool-agnostic control, allowing you to apply your security directives across virtually any AI assistant. Dedicated reports provide full visibility and ensure consistent governance. Conversational remediation Snyk Studio transforms remediation into an intelligent, conversational workflow within your AI assistant. You can use natural language to not only understand vulnerabilities but also to leverage Snyk's deep security context to prioritize and fix the most critical issues first. Embedded across the AI ecosystem Snyk Studio was born from an open, partner-first philosophy. It's built on an extensible framework that powers a growing ecosystem of partner integrations. This ensures that as the AI landscape evolves, Snyk can secure any tool your customers choose to adopt, making Snyk Studio a safer, more strategic long-term investment. "I was already using Cursor every day – it already made me more productive. Once I paired it with the MCP through Snyk Studio and pointed it at the backlog, it just clicked." Aaron Bacchi Security DevSecOps Engineer , LabelBox Powered by Snyk’s industry-leading engines Snyk Studio is powered by Snyk's market-leading security intelligence. Our world-class Snyk Code (SAST) and Snyk Open Source (SCA) engines provide the real-time, accurate analysis needed to build developer trust and avoid friction. Nombrado líder por analistas y clientes Security for the entire AI-driven journey For developers Code at the speed of AI. Fix at the speed of AI. Get real-time, trusted feedback directly within your workflow to build faster, not slow you down. For leaders Govern the future of AI development. Erase the debt of the past. Deploy consistent security guardrails to every developer, giving you the visibility and control needed to prevent new vulnerabilities at enterprise scale. For CISOs Erase your security debt. Govern your AI-driven future. Systematically eliminate existing application risk while deploying consistent guardrails that prevent new AI-generated vulnerabilities from ever reaching production. Get started with Snyk Studio Find out how Snyk can help you confidently embrace the future of software development. Get started in just a few clicks Get a demo Más recursos Blog post Secure at Inception: The New Imperative for AI-Driven Development Read more Demo Snyk Studio: Secure at Inception in action with Cursor View here Demo Snyk Studio: Tackling your security backlog View here Case Study From Two Years to Two Weeks: How Labelbox Eliminated A Backlog of High Severity Vulnerabilities using Snyk Studio + Cursor Read more Plataforma Plataforma Snyk AI Trust Flujos de trabajo de IA de Snyk DeepCode AI Integraciones Nuestros recursos Biblioteca de recursos Blog Pódcasts de Snyk Conocimientos y documentos Snyk Labs Snyk Learn Documentos de usuario de Snyk Soporte de Snyk Base de datos de vulnerabilidades de Snyk Actualizaciones de Snyk Snyk Trust Center Empresa y comunidad Acerca de Snyk Contáctanos Reserva una demostración Empleos Eventos y seminarios web Embajadores Por qué Snyk Snyk frente a GitHub Advanced Security Snyk frente a Veracode Snyk frente a Checkmarx Snyk frente a Black Duck Snyk frente Wiz La plataforma de seguridad para desarrolladores Snyk te ofrece la visibilidad, el contexto y el control que necesitas para trabajar junto a los desarrolladores en la reducción del riesgo de las aplicaciones. 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https://snyk.io/es/product/open-source-security-management/ | Administración de seguridad de código abierto | Herramienta de SCA Open Source | Snyk You need to enable JavaScript to run this app. Skip to main content Plataforma Plataforma Plataforma Snyk AI Trust Seguridad moderna en una única plataforma Flujos de trabajo de IA de Snyk Flujos de trabajo basados en IA para proteger aplicaciones DeepCode AI IA de seguridad diseñada específicamente Integraciones Seguridad que abarca todo el SDLC Snyk Learn Formación en seguridad para desarrolladores Precios Productos Snyk Code Protege el código a medida que lo escribes Snyk Open Source Evita tener dependencias vulnerables Snyk Container Mantén seguras tus imágenes base Snyk IaC Corrige configuraciones incorrectas de IaC en el código Snyk API & Web Encuentra y prueba API y aplicaciones web Snyk Studio Fix and secure AI-generated code Soluciones Código seguro generado por IA La IA escribe, Snyk asegura Seguridad de la aplicación Desarrolla con seguridad, mantente seguro Seguridad de la cadena de suministro de software Mitiga el riesgo de la cadena de suministro Vulnerabilidades de día cero Arregla el primer día con Snyk Inteligencia en materia de seguridad Datos completos sobre vulnerabilidad Verificador de códigos Escribe mejor código gratis Risk-Based Prioritization Fix what matters most Snyk anunció la primera plataforma AI Trust Mira a pedido Recursos Nuestros recursos Biblioteca de recursos Consulta nuestra amplia base de datos Recursos para los clientes La tienda “todo en uno” para los clientes Hacking ético Cómo puede ayudarte el hacking ético Las 10 principales vulnerabilidades Ver los tipos de vulnerabilidades más comunes Blog de Snyk Pódcasts de Snyk YouTube de Snyk AI Glossary Conocimientos y documentos Snyk Labs Investigación de IA, vulnerabilidades y DevSecOps Snyk Learn Formación en seguridad de Snyk Documentos de usuario de Snyk Empieza a utilizar Snyk Soporte de Snyk ¿Cómo podemos ayudar? Base de datos de vulnerabilidades de Snyk Descubre nuevas vulnerabilidades Actualizaciones de Snyk Mantente informado Snyk Partner Solutions Directory Explora las integraciones de socios de Snyk Nuestra comunidad y juegos Eventos y seminarios web Embajadores Comunidad de DevSecCon VulnVortex Audiencia Snyk para desarrolladores Información centrada en el desarrollo bajo demanda Snyk para el gobierno AppSec basada en la misión Snyk para líderes de seguridad Opiniones de los líderes del sector Presentación de Snyk Labs Ver sitio web Empresa Empresa La plataforma de seguridad para desarrolladores Snyk te ofrece la visibilidad, el contexto y el control que necesitas para trabajar junto a los desarrolladores en la reducción del riesgo de las aplicaciones. Subscribe to our newsletter Nuestros servicios Maximiza el ROI de tu AppSec Nuestros clientes Ayudamos a los clientes a ahorrar tiempo y dinero Nuestros socios Seguridad de clase empresarial con socios Estudios de casos Consulta las historias y estadísticas de nuestros clientes Prensa Consulta los últimos comunicados de prensa Contáctanos Ponte en contacto con nosotros si tienes preguntas o comentarios Empleos Únete hoy a Snyk Serie de clases magistrales de Snyk Explorar eventos y seminarios web Precios Evo New ES Selecciona tu idioma English Deutsch Español Français 日本語 Português (BR) Inicio de sesión Clientes del plan Gratis y Equipo Snyk app.snyk.io Clientes del plan Empresarial 🇺🇸 Snyk US - 1 app.snyk.io 🇺🇸 Snyk US - 2 app.us.snyk.io 🇪🇺 Snyk EU app.eu.snyk.io 🇦🇺 Snyk AU app.au.snyk.io La región donde se alojan tus datos se rige por acuerdos locales, y puede no coincidir con tu propia ubicación. Descubre más . Snyk API & Web - Todos los clientes Snyk API & Web (DAST) plus.probely.app Regístrate Reserva una demostración en vivo Snyk Open Source Descripción general Documentos Select Descripción general Documentos Snyk Open Source Administración de riesgos en código abierto diseñada para desarrolladores Snyk Open Source ofrece análisis avanzado de composición de software (SCA) con el respaldo de inteligencia sobre aplicaciones y seguridad líder de la industria. Reserva una demostración en vivo Demostración de SCA bajo demanda Mira nuestra demostración grabada para ver cómo los equipos pueden encontrar y corregir vulnerabilidades y problemas de licencias con Snyk Open Source para SCA. Ver ahora Encuentra vulnerabilidades antes y durante el desarrollo La gestión de seguridad de Snyk Open Source ofrece una solución de SCA enfocada en desarrolladores, que les permite encontrar, priorizar y corregir vulnerabilidades de seguridad y problemas de licencias en dependencias de código abierto. Codificación y CLI Encuentra dependencias vulnerables a medida que escribes código en el IDE o la CLI. De esta forma, podrás evitar futuras correcciones, lo que te permitirá ahorrar valioso tiempo de desarrollo. Solicitudes de cambios Escanea solicitudes de cambios antes de fusionar mediante combinación. Haz pruebas de los proyectos directamente desde el repositorio y supervisarlos a diario en busca de nuevas vulnerabilidades. Herramientas de CI/CD Agrega barreras de seguridad a tus pipelines CI/CD para evitar que las vulnerabilidades de código abierto recién agregadas lleguen a la producción. Entorno en vivo Haz pruebas del entorno de producción para verificar que no haya ninguna exposición a vulnerabilidades existentes y supervísalo en busca de problemas recién descubiertos. Corrección, supervisión, escaneo y automatización Con las funcionalidades de Snyk, controlas la administración de la seguridad de código abierto, desde la aplicación de remediación hasta la elaboración de informes. Prioriza la remediación según el riesgo para tu negocio La priorización de Snyk se basa no solo en la gravedad de una vulnerabilidad, sino también en la creación de una Puntuación de riesgo , evaluando dinámicamente las vulnerabilidades en función de más de una docena de factores objetivos y contextuales, incluyendo la accesibilidad, la madurez de explotación y las puntuaciones EPSS/CVSS. Snyk te permite refinar aún más la priorización teniendo en cuenta tanto los contextos empresariales como los de la aplicación, para que puedas identificar rápidamente los riesgos para sistemas críticos o para aquellos que manejan datos confidenciales. Corrección rápida para reducir la exposición Snyk automatiza las correcciones de vulnerabilidades: con tan solo un clic se crean solicitudes de cambios con las actualizaciones y los parches necesarios. Las plantillas de solicitudes de cambio personalizables te permiten especificar el título, la descripción y el mensaje de confirmación, asegurando que las solicitudes generadas cumplan con el formato requerido por tu organización. Supervisión continua para conservar la protección Se descubrieron más de 24 000 nuevas vulnerabilidades solo en 2024. Snyk te permite monitorear automáticamente tus proyectos en busca de vulnerabilidades recientemente identificadas, para que puedas encontrar, priorizar y solucionar vulnerabilidades rápidamente, reduciendo tu exposición al riesgo. Automatización de la gobernanza y la administración de la seguridad de código abierto Evalúa de forma continua el cumplimiento de las políticas normativas y de seguridad interna mediante la elaboración de informes históricos y en tiempo real, en paquetes para los equipos de ingeniería de seguridad y GRC (gobierno, riesgo y cumplimiento). Los desarrolladores eligen Snyk Open Source Snyk Open Source se integra directamente en IDE y SCM, las herramientas que los desarrolladores usan todos los días, ayudándolos a desarrollar rápidamente y mantenerse seguros. Además, las herramientas de flujo de trabajo, los escaneos automatizados y la inteligencia de seguridad práctica los ayudan a remediar las vulnerabilidades con rapidez. Flujo de trabajo fácil de usar para desarrolladores Snyk funciona con tus herramientas de desarrollador durante todo el ciclo de vida de desarrollo de software. Correcciones automáticas y prácticas Con Snyk, podrás corregir las vulnerabilidades gracias a sugerencias prácticas y flujos de trabajo automatizados. Inteligencia de vulnerabilidades Snyk cuenta con la base de datos de inteligencia de vulnerabilidades para código abierto de nuestro equipo. Protección del código abierto en todas las etapas Mantén la protección en herramientas de codificación, administración de código, CI/CD, contenedores, implementaciones y elaboración de informes. Protección para los lenguajes más populares El SCA de Snyk Open Source protege las dependencias en diversos lenguajes muy populares. Descubre todos los lenguajes “Antes de encontrar a Snyk, abordábamos la seguridad del código abierto con lentitud, por lo que el proceso se demoraba mucho tiempo. Hacíamos controles manuales de los paquetes antes de publicar algunos productos; eran incontables las búsquedas en Google y las páginas marcadas. En otros casos, empleábamos solo unas pocas herramientas. En nuestra empresa solo hay algunas personas en ingeniería de seguridad, pero cientos de personas en el equipo de desarrollo. Nunca podremos escalar a la par, por lo que necesitamos darles las herramientas a los desarrolladores para que actúen de forma proactiva”. Stuart Larsen Security Engineer , MongoDB Lee el estudio de caso Empieza a utilizar Snyk Open Source Encuentra, prioriza y corrige vulnerabilidades en tus paquetes de código abierto y dependencias transitivas. Compara todos los planes Gratis Comienza gratis con GitHub Comienza gratis con Google Equipo Cumplimiento de licencias Integración con Jira Adquiérelo ya Empresarial Cumplimiento de licencias Integración con Jira Informes API Rich Roles de usuario personalizados Administración de políticas de seguridad Asistencia de SBOM (lista de materiales de software) Reserva una demostración en vivo Más recursos Blog Una introducción sencilla a las artes oscuras de las vulnerabilidades en C y C++ Luego de agregar capacidades de escaneo de seguridad para C y C++ en Snyk Open Source, nos parece oportuno conversar sobre algunas de las principales vulnerabilidades en C y C++ y cómo mitigarlas. Informe Estado de la seguridad de código abierto en 2024 Consulta los resultados detallados sobre la adopción de prácticas de seguridad, las opciones tecnológicas y el impacto de los asistentes de programación basados en IA. Blog Cómo mejoramos la experiencia de los desarrolladores en Pinterest con herramientas de seguridad Simon Maple de Snyk y Kalpesh Dharwadkar de Pinterest conversan sobre el uso de las herramientas de Snyk fáciles de implementar para desarrolladores, de modo que puedan integrar buenas prácticas de seguridad en el flujo de trabajo de desarrollo de software. Plataforma Plataforma Snyk AI Trust Flujos de trabajo de IA de Snyk DeepCode AI Integraciones Nuestros recursos Biblioteca de recursos Blog Pódcasts de Snyk Conocimientos y documentos Snyk Labs Snyk Learn Documentos de usuario de Snyk Soporte de Snyk Base de datos de vulnerabilidades de Snyk Actualizaciones de Snyk Snyk Trust Center Empresa y comunidad Acerca de Snyk Contáctanos Reserva una demostración Empleos Eventos y seminarios web Embajadores Por qué Snyk Snyk frente a GitHub Advanced Security Snyk frente a Veracode Snyk frente a Checkmarx Snyk frente a Black Duck Snyk frente Wiz La plataforma de seguridad para desarrolladores Snyk te ofrece la visibilidad, el contexto y el control que necesitas para trabajar junto a los desarrolladores en la reducción del riesgo de las aplicaciones. 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https://it.trustpilot.com/review/stylix.app | Stylix | Leggi le recensioni dei servizi di stylix.app Aziende suggerite Stiligt Stockholm stiligt-stockholm.com • 14 recensioni 1.9 Astroline astroline.today • 30.601 recensioni 4.5 Stylio - Personal AI Stylist quiz.stylio.fashion • 16 recensioni 3.5 Categorie Blog Accedi Per le aziende Per le aziende Accedi Categorie Blog Estetica e benessere Saloni e cliniche Stilista Stylix Riepilogo Chi siamo Recensioni Visita il sito web Scrivi una recensione Visita il sito web Profilo reclamato Stylix Recensioni 1.120 • 3,4 Stilista Scrivi una recensione Visita il sito web Scrivi una recensione Su Trustpilot, le aziende non possono offrire incentivi o pagare per nascondere le recensioni. Scopri cosa dicono le persone RO Rosario Aggiornata il 10 set 2025 Inizialmente avevo assegnato 1 stella, poiché la mia esperienza era stata negativa: dopo aver aderito a un’offerta pubblicizzata All’inizio l’assistenza non sembrava disponibile a risolvere la situ... Leggi di più L'azienda ha risposto Marina Ferrara Aggiornata il 30 set 2025 Il sito pubblicizza un periodo di prova di 3 giorni nascondendo in modo ingannevole che in automatico viene sottoscritto anche il successivo abbonamento mensile alla modica cifra di 48 euro! Fate att... Leggi di più L'azienda ha risposto FA Fabiana 1 ott 2025 Ottima app! Precisa e personalizzata per ogni singola persona, credevo era un app deludente che volesse solo rubate soldi invece è veramente utile e aiuta tanto. Grazie L'azienda ha risposto ED eleonora de vecchis 5 gen 2026 ho aperto il Link dalla mail per due volte e per entrambe le volte è uscita una descrizione differente sul mio profilo.. poco affidabile! L'azienda ha risposto Vedi tutte le 1.120 recensioni Eseguiamo dei controlli sulle recensioni Dettagli dell'azienda Stilista Azienda di software Scritti dall'azienda Stylix is an AI-driven stylist & digital wardrobe app that helps users organize their clothing pieces, check clothes for a personal style match score, and create outfits that flatter their color type, body shape, and aesthetics. With Stylix’s shopping advice and outfit suggestions, users can shop smarter, save time dressing up, and feel more confident in outfits that highlight their best features. Leggi di più Informazioni di contatto Stati Uniti stylix.app@support-team.app stylix.app 3,4 Nella media 1120 recensioni 5 stelle 4 stelle 3 stelle 2 stelle 1 stella Come viene calcolato il TrustScore? Ha risposto al 93% delle recensioni negative ricevute Solitamente risponde entro 1 settimana Come questa azienda usa Trustpilot Le persone hanno visualizzato anche Stiligt Stockholm stiligt-stockholm.com 1.9 (14) Astroline astroline.today 4.5 (30.601) Stylio - Personal AI Stylist quiz.stylio.fashion 3.5 (16) FxPremiere.com fxpremiere.com 3.9 (3745) FastSpring fastspring.com 2.8 (470) Botanique Paris botaniqueparis.com 4 (1083) Lusha lusha.com 1.3 (717) Halara thehalara.com 4.1 (358.973) 3,4 Tutte le recensioni 1.120 in totale ● Scrivi una recensione 5 stelle 35% 4 stelle 17% 3 stelle 17% 2 stelle 5% 1 stella 26% Cosa significano le diciture delle recensioni Ulteriori filtri Più recente Potrebbe usare metodi di invito non supportati Mostra di più Abbiamo rilevato che quest'azienda potrebbe richiedere recensioni in un modo che Trustpilot non supporta. Ciò potrebbe produrre faziosità e compromettere l'affidabilità delle recensioni. Trustpilot fornisce alle aziende metodi gratuiti e supportati per mandare inviti alla recensione. In questo modo si garantisce che le recensioni siano autentiche e richieste in modo equo e coerente. Soraya Colucci IT • 1 recensione 2 giorni fa Non so se la mia stagione sia quella… Non so se la mia stagione sia quella giusta 11 gennaio 2026 Non scritta su invito rosa simeone IT • 1 recensione 3 giorni fa Io non ho usato app e si sono presi €36… Io non ho usato app e si sono presi €36 e non so nemmeno come contattarli per fare il reclamo 5 gennaio 2026 Non scritta su invito MI Michel IT • 3 recensioni 5 giorni fa So far nice So far nice, need discover more of this app 8 gennaio 2026 Non scritta su invito Risposta di Stylix 2 giorni fa Greetings,
Your kind words mean so much to us!
Hearing that Stylix has made styling fun and effortless is exactly why we created this AI personal stylist app.
We’re excited to continue improving and bringing you even more ways to perfect your look!
Wishing you endless fashion inspiration!
Best regards,
Stylix AI Stylist Support Team 👠💄 MO Monica IT • 1 recensione 5 gen 2026 Dovevo leggere prima le recensione Dovevo leggere prima le recensione. Ho fatto la prova per i primi 3 giorni paghi €1,22 invece mi è stato addebitato €61. Ho scritto e non mi danno una risposta valida, per annullare l’abbonamento ho dovuto mandare una e-mail perché non potevo annullarlo. Leggendo le recensione ora è meglio che blocco la carta. 4 gennaio 2026 Non scritta su invito Risposta di Stylix 5 giorni fa Hello, We completely understand how frustrating this must be, and we’re here to make things right for you pronto!
Please provide the following details: 1. The email address associated with your subscription.
2. The ticket number from your previous communication with our support team. Once we have this info, our team will roll out the red carpet for your request, investigate thoroughly, and ensure any necessary corrections or refunds are taken care of with top priority. We truly appreciate your patience and are committed to turning this around for you. Thanks for sticking with us, we won’t let you down! Best regards,
Stylix Team 👠💄 DA Daniela IT • 3 recensioni 5 gen 2026 👍... 👍......... 5 gennaio 2026 Non scritta su invito Risposta di Stylix 4 giorni fa Greetings,
We love hearing that Stylix has transformed the way you style yourself!
Our AI stylist app is designed to help you make the best outfit choices with ease, and we’re so happy you’re enjoying the experience.
Your confidence in your fashion journey is what matters most to us!
Enjoy your styling! Best regards,
Your AI Fashion Stylist 👠💄 ED eleonora de vecchis IT • 1 recensione 5 gen 2026 Non si capisce ho aperto il Link dalla mail per due volte e per entrambe le volte è uscita una descrizione differente sul mio profilo.. poco affidabile! 5 gennaio 2026 Non scritta su invito Risposta di Stylix 5 giorni fa Hello, Thank you for sharing this with us! We’re really sorry to hear that opening the link twice gave you two different descriptions. That’s understandably frustrating, and you’re right — your AI Stylix profile should feel consistent and reliable. This kind of mismatch can happen if the system loads before all details are fully synced, or if the analysis wasn’t able to read your photo clearly on the first attempt. Still, you deserve accuracy, not confusion. If you’d like, you can retake your photo in natural daylight or reach out to our support team with the screenshots of both results. We’ll help clarify the correct analysis for you and make sure your profile reflects the right information moving forward. Best regards, Stylix Team 👠💄 SA Sabri IT • 1 recensione 4 gen 2026 Okay. It’s ok but I need more capsules 4 gennaio 2026 Non scritta su invito Risposta di Stylix 5 giorni fa Hello, Thank you for sharing your thoughts with us! We’re glad to hear that AI Stylix feels okay so far, and we completely understand your wish for more capsule wardrobe ideas. Your personal AI stylist can generate additional capsules as you refine your preferences, upload outfits, and explore different style directions. This helps Stylix tailor more curated and versatile collections that match your lifestyle and aesthetic. If you’d like help unlocking more capsules or guiding your profile toward the styles you want to see, we’re always here to assist you. Best regards, Stylix Team 👠💄 AB Adriana Battistin Craverno IT • 4 recensioni 1 gen 2026 interessante interessante 1 gennaio 2026 Non scritta su invito Risposta di Stylix 6 gen 2026 Greetings,
Thank you for your amazing feedback!
We’re delighted that our AI fashion stylist is helping you refine your wardrobe effortlessly.
Our goal is to provide a seamless experience so you can confidently express your style with ease.
Stay stylish and keep enjoying your fashion journey!
Best regards,
Your AI Stylist 👠💄 DA Daniela IT • 1 recensione 31 dic 2025 Truffatori La mia esperienza con questo sito è stata estremamente negativa. Dopo aver effettuato un pagamento di 1.22 per una prova gratuita di 3 giorni, mi sono stati tolti dal conto anche 29.90 per qualcosa che non ho mai accettato di attivare. L’l’assistenza clienti è stata praticamente inesistente. Ho provato più volte a contattarli, ma le risposte sono state vaghe, standardizzate e completamente inutili. Quando ho scritto più volte dei 29.90 non fanno alcun riferimento a quell’importo ma solo al periodo di prova che io ho realmente autorizzato ma 1.22 non 29.90. Mi sono sentito/a ignorato/a e preso/a in giro. Al momento ho perso dei soldi senza ottenere nulla in cambio, e non è assolutamente accettabile. Sconsiglio fortemente questo sito: poca trasparenza, zero supporto e totale mancanza di professionalità. Se potessi dare zero stelle, lo farei. 29 dicembre 2025 Non scritta su invito Risposta di Stylix Aggiornata 2 giorni fa Hello, This is absolutely not the experience we want for our fabulous customers, and we’re truly sorry for any frustration this may have caused. Rest assured, our dedicated support team has already reached out with a tailored solution to address your concerns. We’re fully committed to making things right, whether that means correcting any errors or ensuring the proper refunds are processed. We truly appreciate your patience and trust in us. Your satisfaction is our priority, and we’ll do everything we can to turn this around for you! Best regards,
Stylix Team 👠💄 JL Jonida Loka IT • 2 recensioni 31 dic 2025 Ok molto molto bene Ok molto molto bene 31 dicembre 2025 Non scritta su invito Risposta di Stylix 6 gen 2026 Greetings, We’re beyond happy to hear that you love Stylix! Our AI fashion stylist app was created to make styling simple, effortless, and tailored just for you. Your wardrobe should always reflect your personality, and we’re excited to be part of that journey! Keep rocking your unique style! Best regards,
Your AI Clothing Stylist 👠💄 Razan Rhaoui IT • 3 recensioni 21 dic 2025 Ottimo Ottimo. Consiglio 21 dicembre 2025 Non scritta su invito Risposta di Stylix 24 dic 2025 Greetings,
Thank you for your amazing feedback!
We’re delighted that our AI fashion stylist is helping you refine your wardrobe effortlessly.
Our goal is to provide a seamless experience so you can confidently express your style with ease.
Stay stylish and keep enjoying your fashion journey!
Best regards,
Your AI Stylist 👠💄 DA Daryna IT • 3 recensioni 5 dic 2025 Truffa Truffa, ti addebitano 29,99 senza consenso, poi non c’è nessuna app. Non c’è nessun file pdf, non c’è nulla. Farò chargeback 5 dicembre 2025 Non scritta su invito Risposta di Stylix Aggiornata il 11 dic 2025 Hello, We truly appreciate you taking the time to share your feedback with us. Our team has made several efforts to gather the necessary details to properly investigate your case and find a resolution tailored to you. However, we have not yet received a response, making it difficult for us to move forward in assisting you effectively. To maintain a fair and transparent experience for all our valued users, we must ensure that every matter is handled with care and impartiality. That said, we would love the opportunity to work toward a resolution with you. Please feel free to reach out to us via stylix@support-team.app or directly through the platform.
For a seamless experience, kindly include "Your Name and Surname. TrustPilot Review" in the subject line to help us prioritize your request.
We truly value your cooperation and look forward to assisting you in any way we can. Best regards,
Stylix Team 👠💄 Rosita Simeoli DE • 2 recensioni 19 nov 2025 é una truffa!!!!! é una truffa!!!!! ti attirano con 3 giorni di prova a 1$ e poi ti addebbitano 50€. Devono chiudere!!!! 7 novembre 2025 Non scritta su invito Risposta di Stylix 26 nov 2025 Hello, We completely understand how frustrating this must be, and we’re here to make things right for you pronto!
Please provide the following details: 1. The email address associated with your subscription.
2. The ticket number from your previous communication with our support team. Once we have this info, our team will roll out the red carpet for your request, investigate thoroughly, and ensure any necessary corrections or refunds are taken care of with top priority. We truly appreciate your patience and are committed to turning this around for you. Thanks for sticking with us, we won’t let you down! Best regards,
Stylix Team 👠💄 Flavia Prociutto IT • 1 recensione 1 nov 2025 Ladri Ladri! Andate a lavorare...paghi 1 euro e il giorno dopo 40 euro ti scalano...più per altri servizi dovresti pagare ancora! Fate schifo! Siete da denuncia...ridateci i soldi! 26 ottobre 2025 Non scritta su invito Risposta di Stylix Aggiornata il 12 nov 2025 Hello Trendsetter, This is absolutely not the experience we want for our fabulous customers, and we’re truly sorry for any frustration this may have caused. Rest assured, our dedicated support team has already reached out with a tailored solution to address your concerns. We’re fully committed to making things right, whether that means correcting any errors or ensuring the proper refunds are processed. We truly appreciate your patience and trust in us. Your satisfaction is our priority, and we’ll do everything we can to turn this around for you! Best regards,
Stylix Team 👠💄 MR Marialetizia Ronca IT • 13 recensioni 13 ott 2025 Truffatori È inutile che mi segnalate. Siete dei truffatori e lo devono sapere tutti. Ho detto solo la verità. Mi dovete tornare i miei soldi. 13 ottobre 2025 Non scritta su invito Risposta di Stylix 15 ott 2025 Hello Fabulous Fashionista, We completely understand how frustrating this must be, and we’re here to make things right for you pronto!
Please provide the following details: 1. The email address associated with your subscription.
2. The ticket number from your previous communication with our support team. Once we have this info, our team will roll out the red carpet for your request, investigate thoroughly, and ensure any necessary corrections or refunds are taken care of with top priority. We truly appreciate your patience and are committed to turning this around for you. Thanks for sticking with us, we won’t let you down! Best regards,
Stylix Team 👠💄 Visualizza le altre 5 recensioni scritte da Marialetizia FL Florina IT • 2 recensioni 13 ott 2025 Esperienza pessima – truffa travestita da prova gratuita Ho accettato una prova di una settimana a 1 euro, con la promessa che si potesse disdire in qualsiasi momento. Subito dopo l’attivazione mi è stato addebitato un importo di 28 euro, senza alcuna autorizzazione chiara. Ho provato più volte a disdire l’abbonamento, seguendo le istruzioni del loro servizio clienti, ma non ha funzionato. Ho perfino cancellato l’account, ma i soldi sono stati comunque prelevati. L’assistenza è inutile, risponde sempre con le stesse istruzioni che non servono a nulla. Un comportamento del genere è scorretto e da denunciare. Sconsiglio assolutamente di iscriversi o inserire i propri dati di pagamento su Stylix. 12 ottobre 2025 Non scritta su invito Risposta di Stylix Aggiornata il 26 ott 2025 Hello Style Icon, We truly appreciate you taking the time to share your feedback with us. Our team has made several efforts to gather the necessary details to properly investigate your case and find a resolution tailored to you. However, we have not yet received a response, making it difficult for us to move forward in assisting you effectively. To maintain a fair and transparent experience for all our valued users, we must ensure that every matter is handled with care and impartiality. That said, we would love the opportunity to work toward a resolution with you. Please feel free to reach out to us via stylix@support-team.app or directly through the platform.
For a seamless experience, kindly include "Your Name and Surname. TrustPilot Review" in the subject line to help us prioritize your request.
We truly value your cooperation and look forward to assisting you in any way we can. Best regards,
Stylix Team 👠💄 FA Fabiana IT • 1 recensione 1 ott 2025 Ottima app Ottima app! Precisa e personalizzata per ogni singola persona, credevo era un app deludente che volesse solo rubate soldi invece è veramente utile e aiuta tanto. Grazie 1 ottobre 2025 Non scritta su invito Risposta di Stylix 7 ott 2025 Greetings,
Thank you for your amazing feedback!
We’re delighted that our AI fashion stylist is helping you refine your wardrobe effortlessly.
Our goal is to provide a seamless experience so you can confidently express your style with ease.
Stay stylish and keep enjoying your fashion journey!
Best regards,
Your AI Stylist 👠💄 IC Ilenia Caratzu IT • 3 recensioni 28 set 2025 TRUFFA!!!! Ho pagato solo un euro, sono riusciti a prendermi solo quelli questi truffatori perché nella carta non avevo niente hanno provato a farmi addebiti di 27 euro. Fate schifo 28 settembre 2025 Non scritta su invito Risposta di Stylix 1 ott 2025 Hello Fabulous Fashionista, We completely understand how frustrating this must be, and we’re here to make things right for you pronto!
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https://www.cisco.com/site/us/en/about/purpose/fy24-report/index.html#bar_tall | FY24 Purpose Report - Cisco Skip to main content Skip to search Skip to footer Cisco.com Worldwide Products and Services Close Solutions Close Support Close Learn Close Why Cisco Close Partners Close Trials and demos How to buy Partners EN US Profile Log in Trials and demos MENU CLOSE How to buy Partners Profile Log in EN US Close Close Close Close Close Hello, how can I help? About Purpose Power an Inclusive Future for All FY24 Purpose Report Celebrating 40 Years of Impact Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. FY24 Purpose Report (PDF) Overview Explore the Report Looking Ahead FY24 Purpose Report 40 Years of Impact We built the digital highways that have become the backbone for modern communication. Now, we’re harnessing the power of connection to build a better future for people, communities, and the planet. For 40 years, connection has been core to Cisco’s identity. At Cisco, we’re proud of how our products and services bridge gaps, enable collaboration, and drive sustainability in meaningful ways. We prove every day that running a successful business with a commitment to do good makes progress possible. Letter from the CEO Our Timeline of Impact 1984 Cisco Systems, Inc Developed by Sandy Lerner and Leonard Bosack with a team of colleagues at Stanford University, the multiprotocol router connected disparate computer networks, leading to Cisco’s founding. 1997 Cisco Networking Academy Launched to educate high school and college students on how to design, install, and maintain computer networks. 1997 Cisco Foundation Established to support programs that leverage the Internet to help people in need and drive positive change. 1998 Cisco Community Investment Report Published report detailing Cisco’s philanthropic and community investment efforts. 1999 NetAid Harnessed the Internet to raise US$830K to end global poverty. By live-streaming celebrated musicians across three locations, NetAid garnered 2.4M views across 80 countries and set a record for the largest Internet broadcast event for a single day. 2000 Habitat for Humanity Provided funding and volunteer support to build homes and wire houses for Internet access. 2005 Corporate Citizenship Report Made a formal commitment to transparency and accountability by publishing details on Cisco's Corporate Social Responsibility efforts. 2005 Crisis Response Deployed communications equipment to assist emergency personnel in the aftermath of Hurricane Katrina and formed a dedicated emergency response team. 2006 Goal to Reduce Emissions Set our first greenhouse gas emissions reduction goal. 2011 Veterans Program Established program to help transitioning U.S. military veterans and families find employment and educational opportunities. 2011 On-Campus Solar Energy Installed first solar energy project at Cisco's Research Triangle Park campus. 2012 Global Human Rights Policy Formalized our commitment to respect human rights for all people. 2014 Talos Formed to provide accurate, rapid, and actionable threat intelligence for Cisco customers, products, and services. 2015 Country Digital Acceleration Launched program to collaborate with government and private sector leaders in building sustainable, secure, and inclusive communities. 2016 White House Equal Pay Pledge Became a founding signer of the White House Equal Pay Pledge and committed to paying employees fairly and equitably. 2018 Homelessness Grant Announced a five-year, US$50M commitment to end homelessness in Santa Clara County. 2019 Global Citizen Announced a partnership with Global Citizen to power the movement to end extreme poverty. 2020 Community Enablement Commitment Transformed longstanding advocacy for community enablement into a global, company-wide commitment. 2020 COVID-19 Response Introduced $2.5B financing program to support customers and keep businesses running; donated US$50M in cash and personal protective equipment (PPE) to organizations supporting vulnerable citizens; and provided funding to deploy COVID-19-related technology solutions. 2021 Cisco Foundation Climate Commitment Committed US$100M over the next 10 years to address climate change. 2021 Net Zero Announced a goal to reach net-zero greenhouse gas emissions across our value chain by 2040. 2022 Responsible AI Launched our Responsible AI (RAI) Principles and RAI Framework to formalize our commitment to build safe and trustworthy AI. 2023 One Billion Lives Exceeded our goal—ahead of schedule—to positively impact one billion people globally from FY16-FY23 through Cisco Networking Academy and social innovation grants. 2024 40 Communities Announcing our next big ambition: over the next 10 years, we plan to engage, support, and invest in 40 communities around the globe. Previous Next Explore this year’s report View all Power Power We build and deliver technology that powers the world’s connectivity, whether that’s between computers, throughout communities, or across continents. And we do so with the highest standards of ethics and integrity in mind—for ourselves, for our customers and partners, and for their users. That’s the power, and importance, of connection. Explore the Power section 0 1600 Active, completed, or in-pipeline projects across 50 countries through Country Digital Acceleration 0 B 800 billion Security events observed each day by Cisco Talos, protecting the world against cyber threats 0 27 Languages available for stakeholders to use Cisco’s EthicsLine 0 % 99.9% Of employees completed our annual Code of Business Conduct certification Featured Stories Connectivity in the Amazon The first floating Networking Academy provides free WiFi within a 30-meter radius, offers IT training, and promotes digital inclusion for communities. Responsible Mineral Sourcing We joined the Initiative for Responsible Mining Assurance to support the visibility, accountability, and inclusion of rightsholders as decision-makers at all levels of the mineral supply chain. Show more Inclusive Inclusive We’re recognized as one of the world’s best workplaces, and we have an unrelenting focus on employee wellbeing, benefits, giving, and inclusion. We strive to create the best possible employee experience, because we know our greatest asset is our people. Explore the Inclusive section 0 % 86% Employees participated in community impact efforts through donations, volunteering, and more 0 720,000 Volunteer hours logged by employees Launched BridgeIT, a Cisco Enterprise Chat AI, to intelligently guide employees and help them work faster, safer, and smarter 0 31 Inclusive Communities with 335 chapters across 77 countries Featured Stories Native American Network Cisco’s Native American Network deployed 18 sovereign broadband access points on Zuni tribal lands in New Mexico to help close the digital divide. Wellbeing in Technology The "WellNest" on Webex pilot supports physical, mental, social, and financial wellbeing through an intuitive AI-powered platform. Show more Future Future Cisco has been committed to reducing its environmental impact for nearly two decades, but there’s more to be done as we work toward a regenerative future. Our sustainability strategy, the Plan for Possible, guides us as we build our products, accelerate clean energy access, support suppliers’ reduced environmental impacts, and foster climate resiliency in communities. Explore the Future section 0 % 96% Of electricity for Cisco facilities came from renewable sources 0 % 73% Reduction in Scope 1 and 2 emissions FY25 goal: 90% reduction 0 % 75% Of the waste generated at our facilities was diverted from landfill globally 0 % 96% Of new Cisco products and packaging incorporate Circular Design Principles FY25 goal: 100% meeting circular design criteria Featured Stories Connected Conservation Cisco donated Cisco Meraki routers to African Parks to help them harness reliable Internet technology. Cisco Refresh We provide a second life to our products and reduce waste through the Cisco Refresh program, and we provide discounts to businesses joining the circular economy. Show more For All For All Through our technology, our people, and our broader networks, we create solutions that help address the world’s most critical challenges—from the AI skills gap to social inequities to environmental crises. We continue to show up to create a better future for all, by all, with all stakeholders who share our vision. Explore the For All section 0 M 24 million Cisco Networking Academy students since 1997 0 + 30 plus Natural disasters and humanitarian crises responded to by Cisco Crisis Response $ 0 M USD 35 million US dollars Approved to fund climate solutions through the Cisco Foundation since FY21 $ 0 B USD 1.5 billion US dollars In Title IV Federal Funding that we helped preserve for HBCUs since FY20 Featured Stories Women Rock-IT Women Rock-IT celebrated 10 years, and their annual International Girls in ICT day programming reached 1.2 million on social media. Impact in India Cisco partners with NGOs and government agencies in India to create technology-based solutions that support critical human needs. View all Looking Ahead To celebrate our 40th year, we’re looking ahead to our future with Splunk and how we can drive even greater success for our customers, partners, employees, and communities together. There’s no better way to celebrate our anniversary than setting our next big ambition to propel us into the future. Learn more from Chief People, Policy & Purpose Officer Fran Katsoudas on what’s next for Cisco’s Purpose work. Explore “Looking Ahead” 40 Years of Impact Power an Inclusive Future for All Driven by our Purpose, we combine our technology, people, and broader networks to address society's greatest challenges. We share the progress we've made in our annual report. FY24 Purpose Report (PDF) Purpose Reporting Hub Quick Links About Cisco Contact Us Careers Connect with a partner Resources and Legal Feedback Help Terms & Conditions Privacy Cookies / Do not sell or share my personal data Accessibility Trademarks Supply Chain Transparency Newsroom Sitemap © Cisco Systems, Inc. | 2026-01-13T09:29:58 |
https://www.linkedin.com/posts/puppyone_amazing-update-this-move-will-open-up-more-activity-7415043386295984130-Q_tL#main-content | Unlocking Email Marketing Potential with Data Insights | puppyone ai posted on the topic | LinkedIn Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Create an account Unlocking Email Marketing Potential with Data Insights This title was summarized by AI from the post below. puppyone ai 355 followers 4d Report this post Amazing update！ This move will open up more possibilities for outbound email marketing. We are currently exploring how to transform fragmented email data into actionable growth signals for the business. Google 40,235,039 followers 4d Today, we’re bringing Gmail into the Gemini era to make it your personal, proactive inbox assistant. This includes: • AI Inbox, which gives you a personalized TL;DR that will catch you up on what you need to get done or be aware of (coming to trusted testers in the U.S. to start) • AI Overviews, which give you concise summaries of those loooooooong email chains, are rolling out to everyone at no cost. And for Google AI Pro and Ultra subscribers, AI Overviews will also be available when you search your inbox. • Help Me Write, which helps you polish emails or draft them from scratch, and Suggested Replies (an update to Smart Replies) which use the context of your conversation to offer relevant, one-click responses that match how you write. Both of these features are rolling out to everyone at no cost. These new capabilities begin rolling out today, and come with built-in security protections to keep your data private and under your control. Get all the details → https://goo.gle/4qkg53K 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in More Relevant Posts Google 40,235,039 followers 4d Report this post Today, we’re bringing Gmail into the Gemini era to make it your personal, proactive inbox assistant. This includes: • AI Inbox, which gives you a personalized TL;DR that will catch you up on what you need to get done or be aware of (coming to trusted testers in the U.S. to start) • AI Overviews, which give you concise summaries of those loooooooong email chains, are rolling out to everyone at no cost. And for Google AI Pro and Ultra subscribers, AI Overviews will also be available when you search your inbox. • Help Me Write, which helps you polish emails or draft them from scratch, and Suggested Replies (an update to Smart Replies) which use the context of your conversation to offer relevant, one-click responses that match how you write. Both of these features are rolling out to everyone at no cost. These new capabilities begin rolling out today, and come with built-in security protections to keep your data private and under your control. Get all the details → https://goo.gle/4qkg53K …more 1,595 113 Comments Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Mokter Hossain 4d Report this post This is what practical AI looks like: less noise, more clarity, faster decisions. Curious how many teams will rethink productivity once AI becomes invisible infrastructure. #AIinProduct #EnterpriseAI #FutureOfWork Google 40,235,039 followers 4d Today, we’re bringing Gmail into the Gemini era to make it your personal, proactive inbox assistant. This includes: • AI Inbox, which gives you a personalized TL;DR that will catch you up on what you need to get done or be aware of (coming to trusted testers in the U.S. to start) • AI Overviews, which give you concise summaries of those loooooooong email chains, are rolling out to everyone at no cost. And for Google AI Pro and Ultra subscribers, AI Overviews will also be available when you search your inbox. • Help Me Write, which helps you polish emails or draft them from scratch, and Suggested Replies (an update to Smart Replies) which use the context of your conversation to offer relevant, one-click responses that match how you write. Both of these features are rolling out to everyone at no cost. These new capabilities begin rolling out today, and come with built-in security protections to keep your data private and under your control. Get all the details → https://goo.gle/4qkg53K 4 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Erin Petty 4d Edited Report this post There is no way around it. This is amazing and likely to allow Gemini to leapfrog in model training and adoption. But as an AI governance/privacy professional (and in the digital space long enough to recall the days where Google asking to scan all of your emails in Gmail was an absolute no no), I can't help but to wonder how they are governing that data and what are all the use cases for the data they are collecting. Lastly, what is the remediation path for when AI gets it wrong in a way that has a negative impact on the consumer? I, for one, will definitely be reading up for answers to this in their privacy policy before use. I encourage you to do the same. Google 40,235,039 followers 4d Today, we’re bringing Gmail into the Gemini era to make it your personal, proactive inbox assistant. This includes: • AI Inbox, which gives you a personalized TL;DR that will catch you up on what you need to get done or be aware of (coming to trusted testers in the U.S. to start) • AI Overviews, which give you concise summaries of those loooooooong email chains, are rolling out to everyone at no cost. And for Google AI Pro and Ultra subscribers, AI Overviews will also be available when you search your inbox. • Help Me Write, which helps you polish emails or draft them from scratch, and Suggested Replies (an update to Smart Replies) which use the context of your conversation to offer relevant, one-click responses that match how you write. Both of these features are rolling out to everyone at no cost. These new capabilities begin rolling out today, and come with built-in security protections to keep your data private and under your control. Get all the details → https://goo.gle/4qkg53K 5 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Aaron Rouse 4d Report this post Gmail just entered a new era, and as an "OG" user who has relied on it since the early days, this feels like the biggest shift yet. 🚀 While my personal inbox isn't for "work," it's the command center for everything else: family logistics, home and car maintenance, travel planning, and the inevitable mountain of bills. On top of that, there's the massive volume of emails from my kid's schools and activities that can easily become a second full-time job to manage. That’s why these Gemini updates are a total game-changer for my daily routine: 1️⃣ AI Overviews: It synthesizes those loooooooong threads into a quick summary. No more scrolling through 50 replies to find one practice schedule. 2️⃣ Natural Language Search: I can just ask my inbox, "What was the quote from the plumber last year?" or "When is the school play?" and get the answer instantly. 3️⃣ AI Inbox: A personalized TL;DR that highlights actual to-dos so the important "life admin" doesn't get lost in the noise. Check out the official update from Google below to see these features in action! 👇 Google 40,235,039 followers 4d Today, we’re bringing Gmail into the Gemini era to make it your personal, proactive inbox assistant. This includes: • AI Inbox, which gives you a personalized TL;DR that will catch you up on what you need to get done or be aware of (coming to trusted testers in the U.S. to start) • AI Overviews, which give you concise summaries of those loooooooong email chains, are rolling out to everyone at no cost. And for Google AI Pro and Ultra subscribers, AI Overviews will also be available when you search your inbox. • Help Me Write, which helps you polish emails or draft them from scratch, and Suggested Replies (an update to Smart Replies) which use the context of your conversation to offer relevant, one-click responses that match how you write. Both of these features are rolling out to everyone at no cost. These new capabilities begin rolling out today, and come with built-in security protections to keep your data private and under your control. Get all the details → https://goo.gle/4qkg53K 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Andrew Truong 4d Report this post Gmail entering the Gemini era is more than a productivity upgrade. It’s the start of a personal AI operating layer for consumers. AI inbox summaries, context-aware replies, and proactive nudges are table stakes. The real shift is what comes next: intent-aware organization, explainable cleanup, and AI that understands when information no longer matters. Inbox overload isn’t a user failure. It’s a data lifecycle problem and Gemini is quietly turning Gmail into a system that can help people decide what to act on, what to store, and what to let go of. I've been saying for years, 'help me, help myself', and this is the truest deployment on a mass scale to date! As a consumer and AI leader, I’m excited by where this points: AI that doesn’t just remember everything but knows when forgetting responsibly builds more trust. The horizon here is big. And it's just getting started. #google #gemini #email #ai #evolution #responsibleAI #AIgovernance Google 40,235,039 followers 4d Today, we’re bringing Gmail into the Gemini era to make it your personal, proactive inbox assistant. This includes: • AI Inbox, which gives you a personalized TL;DR that will catch you up on what you need to get done or be aware of (coming to trusted testers in the U.S. to start) • AI Overviews, which give you concise summaries of those loooooooong email chains, are rolling out to everyone at no cost. And for Google AI Pro and Ultra subscribers, AI Overviews will also be available when you search your inbox. • Help Me Write, which helps you polish emails or draft them from scratch, and Suggested Replies (an update to Smart Replies) which use the context of your conversation to offer relevant, one-click responses that match how you write. Both of these features are rolling out to everyone at no cost. These new capabilities begin rolling out today, and come with built-in security protections to keep your data private and under your control. Get all the details → https://goo.gle/4qkg53K 2 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Patrick van den Hoevel 2d Report this post The Future of Enterprise Productivity: Gmail in the Gemini Era 🚀 At Google Cloud , we believe that the next frontier of business value isn't just about "doing more"—it’s about knowing more, faster. Today, I am proud to share how we are officially bringing the power of #Gemini 3 into the core of the enterprise: #Gmail . For our enterprise customers, the inbox has long been the primary repository of institutional knowledge, but also a significant bottleneck. We are changing that today. We are moving from an era of searching for information to an era of surfacing insights. Transforming the Way Organizations Communicate Here is how Gmail in the Gemini Era is redefining the enterprise workflow: 1️⃣ 🧠 Intelligence at Scale: Gemini can now synthesize months of complex thread history across your entire organization to answer specific business queries. From "What is the current status of the Q3 procurement cycle?" to "Summarize the feedback from the EMEA leadership team," the answers are now instant. 2️⃣ 🏎️ Operational Velocity: The new AI Inbox doesn't just list emails; it prioritizes them based on project urgency and team roles. This allows your leadership and teams to focus on high-impact decision-making rather than administrative triage. 3️⃣ 📝 Enterprise-Grade Writing & Refinement: "Help Me Write" now supports sophisticated brand-voice tuning. Whether it's a high-stakes client proposal or a company-wide memo, Gemini ensures consistency, professional tone, and clarity across your global workforce. 4️⃣🔐 Uncompromising Security & Privacy: This is the Google Cloud promise. Your enterprise data is your data. Gemini does not train on your business content or your users' emails. We provide the AI power you need with the sovereignty and compliance your legal teams demand. 🎯 The Goal: Giving Time Back to Your Talent The "Gemini era" is about removing the "work about work." By automating the synthesis and drafting processes, we are enabling your most valuable asset—your people—to focus on strategy, creativity, and growth. We aren't just updating an app; we are upgrading the operating system of modern business. How is your organization preparing for the shift toward AI-integrated workflows? I’d love to hear your thoughts on where you see the biggest potential for ROI. 📈 #GoogleCloud #EnterpriseAI #DigitalTransformation #GeminiAI #GoogleWorkspace #Innovation Google 40,235,039 followers 4d Today, we’re bringing Gmail into the Gemini era to make it your personal, proactive inbox assistant. This includes: • AI Inbox, which gives you a personalized TL;DR that will catch you up on what you need to get done or be aware of (coming to trusted testers in the U.S. to start) • AI Overviews, which give you concise summaries of those loooooooong email chains, are rolling out to everyone at no cost. And for Google AI Pro and Ultra subscribers, AI Overviews will also be available when you search your inbox. • Help Me Write, which helps you polish emails or draft them from scratch, and Suggested Replies (an update to Smart Replies) which use the context of your conversation to offer relevant, one-click responses that match how you write. Both of these features are rolling out to everyone at no cost. These new capabilities begin rolling out today, and come with built-in security protections to keep your data private and under your control. Get all the details → https://goo.gle/4qkg53K 5 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in PointStar 18,001 followers 4d Edited Report this post 🚀Gmail is entering the Gemini era—and it’s a lot more than just a side panel. We are moving from reactive search to a proactive inbox assistant that knows your priorities. ✅ No more scrolling: AI Overviews to summarize those endless email threads. ✅No more drafting from scratch: "Help Me Write" and “Suggested Replies” to help get things done faster. ✅No more missing priorities: AI inbox - A personalized AI assistant that identifies and extracts key to-dos from your important emails. This is not just a new feature update; it's a fundamental change in how we handle our daily work productivity. It is a massive step forward in the AI transformation journey for every business. The Gemini era is here. Don't just watch it happen—start taking the leap in adopting it. Find out more about how to kickstart your transformation journey here: https://lnkd.in/g6bXs6R7 #GoogleWorkspacewithGemini #WorkplaceProductivity #AITransformation Google 40,235,039 followers 4d Today, we’re bringing Gmail into the Gemini era to make it your personal, proactive inbox assistant. This includes: • AI Inbox, which gives you a personalized TL;DR that will catch you up on what you need to get done or be aware of (coming to trusted testers in the U.S. to start) • AI Overviews, which give you concise summaries of those loooooooong email chains, are rolling out to everyone at no cost. And for Google AI Pro and Ultra subscribers, AI Overviews will also be available when you search your inbox. • Help Me Write, which helps you polish emails or draft them from scratch, and Suggested Replies (an update to Smart Replies) which use the context of your conversation to offer relevant, one-click responses that match how you write. Both of these features are rolling out to everyone at no cost. These new capabilities begin rolling out today, and come with built-in security protections to keep your data private and under your control. Get all the details → https://goo.gle/4qkg53K 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Rohan K. 4d Report this post EXECUTIVE NOTE — ON THE REARCHITECTING OF DIGITAL COGNITION AT SCALE What Google has initiated with the Gemini integration into Gmail is not a feature release; it is a deliberate recalibration of how human attention, decision latency, and informational entropy are governed inside one of the world’s most critical coordination substrates. Email, at Google ’s operating scale, is not a communication tool. It is a control plane. Billions of daily messages encode approvals, escalations, financial commitments, regulatory disclosures, and irreversible decisions. Left unmanaged, this volume does not merely reduce productivity—it degrades institutional reliability. Gemini’s introduction into Gmail must therefore be understood as an infrastructure intervention, not a product enhancement. The AI Inbox and AI Overviews are mechanisms for cognitive compression. They reduce decision surface area by transforming unstructured message floods into prioritized, semantically ordered states. This is not summarization for convenience; it is latency reduction in human-in-the-loop systems. At enterprise and governmental scale, delayed comprehension is a risk vector. Google is closing that vector. “Help Me Write” and context-aware Suggested Replies extend this logic downstream. They do not automate expression; they enforce coherence. By aligning generated drafts with user-specific linguistic patterns and conversational history, Gmail now acts as a consistency engine—reducing misinterpretation, tone drift, and transactional ambiguity across high-frequency exchanges. This is systems hygiene, not creative assistance. Equally material is the governance posture. These capabilities are deployed with explicit user control and built-in security boundaries, and they are broadly accessible rather than artificially scarce. That choice reflects an understanding long internalized by durable institutions: trust, once eroded, compounds negatively faster than any engagement metric compounds positively. Platform intelligence must therefore be subordinate to user agency. Under the stewardship of Sundar Pichai , Google has consistently prioritized infrastructure durability over performative innovation. The Gemini-era Gmail is consistent with that philosophy. Intelligence is embedded where coordination already occurs, rather than forcing new behavioral surfaces. This is how systems scale without fracture. The larger signal is strategic. Applied AI that survives regulation, scrutiny, and time will not be defined by model size or novelty cycles. It will be defined by its ability to reduce cognitive load, preserve accountability, and integrate seamlessly into workflows that already bear economic and institutional weight. Google is not attempting to redefine communication. It is formalizing the conditions under which modern communication remains governable. That distinction is decisive. #Google #Gmail #Gemini #EnterpriseInfrastructure #CognitiveSystems #AppliedAI #HumanInTheLoop #Cloud Google 40,235,039 followers 4d Today, we’re bringing Gmail into the Gemini era to make it your personal, proactive inbox assistant. This includes: • AI Inbox, which gives you a personalized TL;DR that will catch you up on what you need to get done or be aware of (coming to trusted testers in the U.S. to start) • AI Overviews, which give you concise summaries of those loooooooong email chains, are rolling out to everyone at no cost. And for Google AI Pro and Ultra subscribers, AI Overviews will also be available when you search your inbox. • Help Me Write, which helps you polish emails or draft them from scratch, and Suggested Replies (an update to Smart Replies) which use the context of your conversation to offer relevant, one-click responses that match how you write. Both of these features are rolling out to everyone at no cost. These new capabilities begin rolling out today, and come with built-in security protections to keep your data private and under your control. Get all the details → https://goo.gle/4qkg53K 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in TechWatchPH.com 222 followers 4d Report this post Google says Gmail is “entering the Gemini era,” positioning the email service as a more “personal, proactive inbox assistant” as new AI features begin rolling out in 2026. READ: https://lnkd.in/g9hE5s9T Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Cyber News Live 5,199 followers 4d Report this post Google is rolling out new AI features in Gmail, including AI Overviews for summarizing emails and AI Inbox for prioritizing messages, potentially transforming the platform. This update aims to enhance user productivity by leveraging Gemini AI models to manage email overload and extract information more efficiently. Defenders should be aware of the potential for malicious browser extensions to compromise user data through AI-powered features, increasing the risk of data breaches. 🛡️ #CyberNewsLive https://lnkd.in/eNcypWkQ https://techrepublic.com/article/news-gmail-gemini-era/ 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 355 followers View Profile Follow More from this author Open Deep Wide Research: A General-Purpose Agent Collaboration Architecture for Large-Scale Information Gathering puppyone ai 2mo RAG: Solving the AI Agent Accuracy Crisis in High-Stakes Scenarios puppyone ai 3mo AI Self-evolution: A Comprehensive Review of LLM Closed-loop Systems and Multi-agent Frontiers puppyone ai 4mo Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? 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https://www.globalcbpr.org/economies/japan/ | Accountability Agents in Japan - Global CBPR Forum Skip to content Home About Members & Associates Organization Leadership Privacy Certifications Certified Organizations Accountability Agents FAQs Privacy Enforcement News Events Documents Home About Members & Associates Organization Leadership Privacy Certifications Certified Organizations Accountability Agents FAQs Privacy Enforcement News Events Documents Forum Login Accountability Agents Accountability Begins With Certification Global CBPR Forum-recognized Accountability Agents (AAs) perform a key role in the Global Cross Border Privacy Rules (CBPR) and the Global Privacy Recognition for Processors (PRP) Systems. AAs certify that the privacy policies and practices of participating companies are compliant with the Global CBPR and Global PRP Systems’ Program Requirements . Through the Global CBPR and Global PRP Systems, Forum-recognized AAs work collaboratively with companies, consumers and governments to resolve privacy complaints and facilitate trusted cross-border data transfers. Interested in applying to become an Accountability Agent? Click here for more information on how to become an AA Forum-Recognized Accountability Agents Japan Remove Filter Japan Institute for Promotion of Digital Economy and Community (JIPDEC) Japan Recognized Systems: Global CBPR Home Membership About Documents News Home Membership About Documents News © 2024 Global Cross-Border Privacy Rules Forum | 2026-01-13T09:29:58 |
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https://play.google.com/store/apps/details?id=notion.id&hl=km | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L18. | 2026-01-13T09:29:58 |
https://www.linkedin.com/company/careplanai?trk=public_post_feed-actor-name | CarePlan AI | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join for free CarePlan AI Software Development Fully Customizable AI-Powered Care & Service Management Platform Follow Discover all 2 employees Report this company About us CarePlan AI enables your team to spend more time on delivering services and less on administrative tasks through an AI Data Entry and Retrieval Assistant and a fully configurable web platform. Website www.careplanai.ca External link for CarePlan AI Industry Software Development Company size 2-10 employees Type Privately Held Founded 2025 Specialties AI Care Management, AI Service Delivery, Home and Community Care Technology, AI Data Entry & Retrieval, Care Plan Customization, Digital Health Solutions, Partner Management, Services Management, Electronic Health Records, AI-Driven Decision Support, Dynamic Geographical Mapping, and Visual Reporting Employees at CarePlan AI Marshall Dunn See all employees Updates CarePlan AI 73 followers 3d Report this post It was a privilege to partner with PHSS on this strategic redesign. We are thrilled to see the new website live and ready to help you better communicate your incredible mission and impact. Congratulations on the launch! 🚀💻 PHSS 1,273 followers 3d We’re excited to announce that our new PHSS website launched this morning. This redesign represents more than a visual refresh, it reflects a strategic step forward for our organization. We’ve completely rebuilt our digital presence, allowing us to clearly communicate our mission, impact, and focus. Thank you to Marshall Dunn and CarePlan AI for your expertise, collaboration, and partnership throughout this process. His support played a key role in bringing this vision to life. We invite you to explore the new website and see how we’re continuing to grow, evolve, and better serve our community. https://lnkd.in/epnedBAy 6 Like Comment Share CarePlan AI 73 followers 4d Report this post Technology moves faster than ever, but can your organization keep pace? Every day, new digital breakthroughs reshape what’s possible. But chasing every trend leads to burnout and missed opportunities. ✅ Tip: Prioritize flexibility and adaptability. Invest in solutions that grow and evolve with your unique needs, without locking you into rigid structures. How is your organization staying ready and adaptable? https://wix.to/uHnPLMg 6 Like Comment Share CarePlan AI 73 followers 3w Report this post Discover how software innovations are reshaping healthcare management - from AI-driven customization to adaptable data models and templates. Ready to meet complex care demands with confidence and clarity? #DigitalHealth #OntarioHealth #AIinHealthcare #HealthTech #DigitalTransformation #HealthcareInnovation 5 Like Comment Share CarePlan AI 73 followers 3w Report this post Still stuck wasting time on repetitive data entry? CarePlan AI makes customization effortless so your system finally feels like it works for you; keeping everything consistent, and adapting to your organization’s needs. What would your team do with extra time? #careplanai #ontariohealth #digitalhealth 4 Like Comment Share CarePlan AI 73 followers 1mo Report this post Transform administrative chaos into calm with CarePlan AI. Our custom data models and AI streamline tasks, reduce costs, and let your team focus on value added tasks. Ready to work smarter? #CarePlanAI #DigitalHealth #OntarioHealth #HealthTech #DigitalTransformation #CareManagement 3 Like Comment Share CarePlan AI 73 followers 1mo Report this post From raw data to mapped insights; see what matters, decide faster, and generate reports with a click. #careplanai #datadriveninsights 4 Like Comment Share CarePlan AI 73 followers 2mo Report this post How long does your vendor take to create a new report? Days? Weeks? Months? It's a trick question. In 2025, you shouldn't have to ask a vendor, or pay extra fees, to get the data you need. Stop stressing about ministry and end-of-year reporting. With CarePlan AI, you can generate your own reports in minutes. Get your data, your way, right now. #CarePlanAI #ReportingAutomation #DataAutonomy #StopWaiting #HealthData https://wix.to/acTI1F9 8 Like Comment Share CarePlan AI 73 followers 2mo Report this post Your data shouldn't be a compromise. Why use generic forms when you can build the exact templates you need, with AI to help? Our system lets you create dynamic templates for any process, ensuring you collect the right data, every time. Build your workflow, your way. 🔗 www.careplanai.ca #CarePlanAI #CustomForms #AI #DataCollection #HealthTech https://wix.to/Tk5kTs7 5 Like Comment Share CarePlan AI 73 followers 2mo Report this post Most data issues don't start in a report; they start at entry. Our AI Assistant doesn't just store your data, it helps perfect it. During an import, it analyzes quality, suggests fixes, and flags duplicates before they ever enter your system. Ensure data integrity from the first click. 🔗 www.careplanai.ca #CarePlanAI #DataQuality #AI #SaaS #DataManagement https://wix.to/Jlq74Of 3 Like Comment Share CarePlan AI 73 followers 3mo Report this post Your data tells you "who" and "what." But can it tell you "where?" Stop strategizing with address lists and spreadsheets. Visualize your data on an interactive map, filter by location, and draw custom service zones to see exactly where your resources/services are needed most. From abstract data to actionable, geographic insight. 🔗 www.careplanai.ca #CarePlanAI #DataVisualization #HealthTech #CommunityOutreach https://wix.to/IZMjWta 9 2 Comments Like Comment Share Join now to see what you are missing Find people you know at CarePlan AI Browse recommended jobs for you View all updates, news, and articles Join now Similar pages QuestBundles Retail INVORG IT Services and IT Consulting London, Ontario Behold Canada Travel Arrangements Flex Fantasy Spectator Sports SwingLab Performance & Therapy Wellness and Fitness Services Richmond Hill, ON Plexus Solutions Inc. Technology, Information and Internet Toronto, Ontario SellWell Professional Training and Coaching London, Ontario RADiiX INFINITEii IT Services and IT Consulting VELSEIS PTY. LTD. 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https://mt.linkedin.com/legal/privacy-policy#key-terms-intro | LinkedIn Privacy Policy Skip to main content User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws Privacy Policy Effective November 3, 2025 Your Privacy Matters LinkedIn’s mission is to connect the world’s professionals to allow them to be more productive and successful. Central to this mission is our commitment to be transparent about the data we collect about you, how it is used and with whom it is shared. This Privacy Policy applies when you use our Services (described below). 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We use the term “Designated Countries” to refer to countries in the European Union (EU), European Economic Area (EEA), and Switzerland. Members and Visitors located in the Designated Countries or the UK can review additional information in our European Regional Privacy Notice . Services This Privacy Policy, including our Cookie Policy applies to your use of our Services. This Privacy Policy applies to LinkedIn.com, LinkedIn-branded apps, and other LinkedIn-branded sites, apps, communications and services offered by LinkedIn (“Services”), including off-site Services, such as our ad services and the “Apply with LinkedIn” and “Share with LinkedIn” plugins, but excluding services that state that they are offered under a different privacy policy. For California residents, additional disclosures required by California law may be found in our California Privacy Disclosure . Data Controllers and Contracting Parties If you are in the “Designated Countries”, LinkedIn Ireland Unlimited Company (“LinkedIn Ireland”) will be the controller of your personal data provided to, or collected by or for, or processed in connection with our Services. If you are outside of the Designated Countries, LinkedIn Corporation will be the controller of (or business responsible for) your personal data provided to, or collected by or for, or processed in connection with our Services. As a Visitor or Member of our Services, the collection, use and sharing of your personal data is subject to this Privacy Policy and other documents referenced in this Privacy Policy, as well as updates. Change Changes to the Privacy Policy apply to your use of our Services after the “effective date.” LinkedIn (“we” or “us”) can modify this Privacy Policy, and if we make material changes to it, we will provide notice through our Services, or by other means, to provide you the opportunity to review the changes before they become effective. If you object to any changes, you may close your account. You acknowledge that your continued use of our Services after we publish or send a notice about our changes to this Privacy Policy means that the collection, use and sharing of your personal data is subject to the updated Privacy Policy, as of its effective date. 1. Data We Collect 1.1 Data You Provide To Us You provide data to create an account with us. Registration To create an account you need to provide data including your name, email address and/or mobile number, general location (e.g., city), and a password. If you register for a premium Service, you will need to provide payment (e.g., credit card) and billing information. You create your LinkedIn profile (a complete profile helps you get the most from our Services). Profile You have choices about the information on your profile, such as your education, work experience, skills, photo, city or area , endorsements, and optional verifications of information on your profile (such as verifications of your identity or workplace). You don’t have to provide additional information on your profile; however, profile information helps you to get more from our Services, including helping recruiters and business opportunities find you. It’s your choice whether to include sensitive information on your profile and to make that sensitive information public. Please do not post or add personal data to your profile that you would not want to be publicly available. You may give other data to us, such as by syncing your calendar. Posting and Uploading We collect personal data from you when you provide, post or upload it to our Services, such as when you fill out a form, (e.g., with demographic data or salary), respond to a survey, or submit a resume or fill out a job application on our Services. If you sync your calendars with our Services, we will collect your calendar meeting information to keep growing your network by suggesting connections for you and others, and by providing information about events, e.g. times, places, attendees and contacts. You don’t have to post or upload personal data; though if you don’t, it may limit your ability to grow and engage with your network over our Services. 1.2 Data From Others Others may post or write about you. Content and News You and others may post content that includes information about you (as part of articles, posts, comments, videos) on our Services. We also may collect public information about you, such as professional-related news and accomplishments, and make it available as part of our Services, including, as permitted by your settings, in notifications to others of mentions in the news . Others may sync their calendar with our Services Contact and Calendar Information We receive personal data (including contact information) about you when others import or sync their calendar with our Services, associate their contacts with Member profiles, scan and upload business cards, or send messages using our Services (including invites or connection requests). If you or others opt-in to sync email accounts with our Services, we will also collect “email header” information that we can associate with Member profiles. Customers and partners may provide data to us. Partners We receive personal data (e.g., your job title and work email address) about you when you use the services of our customers and partners, such as employers or prospective employers and applicant tracking systems providing us job application data. Related Companies and Other Services We receive data about you when you use some of the other services provided by us or our Affiliates , including Microsoft. For example, you may choose to send us information about your contacts in Microsoft apps and services, such as Outlook, for improved professional networking activities on our Services or we may receive information from Microsoft about your engagement with their sites and services. 1.3 Service Use We log your visits and use of our Services, including mobile apps. We log usage data when you visit or otherwise use our Services, including our sites, app and platform technology, such as when you view or click on content (e.g., learning video) or ads (on or off our sites and apps), perform a search, install or update one of our mobile apps, share articles or apply for jobs. We use log-ins, cookies, device information and internet protocol (“IP”) addresses to identify you and log your use. 1.4 Cookies and Similar Technologies We collect data through cookies and similar technologies. As further described in our Cookie Policy , we use cookies and similar technologies (e.g., pixels and ad tags) to collect data (e.g., device IDs) to recognize you and your device(s) on, off and across different services and devices where you have engaged with our Services. We also allow some others to use cookies as described in our Cookie Policy. If you are outside the Designated Countries, we also collect (or rely on others, including Microsoft, who collect) information about your device where you have not engaged with our Services (e.g., ad ID, IP address, operating system and browser information) so we can provide our Members with relevant ads and better understand their effectiveness. Learn more . You can opt out from our use of data from cookies and similar technologies that track your behavior on the sites of others for ad targeting and other ad-related purposes. For Visitors, the controls are here . 1.5 Your Device and Location We receive data through cookies and similar technologies When you visit or leave our Services (including some plugins and our cookies or similar technology on the sites of others), we receive the URL of both the site you came from and the one you go to and the time of your visit. We also get information about your network and device (e.g., IP address, proxy server, operating system, web browser and add-ons, device identifier and features, cookie IDs and/or ISP, or your mobile carrier). If you use our Services from a mobile device, that device will send us data about your location based on your phone settings. We will ask you to opt-in before we use GPS or other tools to identify your precise location. 1.6 Communications If you communicate through our Services, we learn about that. We collect information about you when you communicate with others through our Services (e.g., when you send, receive, or engage with messages, events, or connection requests, including our marketing communications). This may include information that indicates who you are communicating with and when. We also use automated systems to support and protect our site. For example, we use such systems to suggest possible responses to messages and to manage or block content that violates our User Agreement or Professional Community Policies . 1.7 Workplace and School Provided Information When your organization (e.g., employer or school) buys a premium Service for you to use, they give us data about you. Others buying our Services for your use, such as your employer or your school, provide us with personal data about you and your eligibility to use the Services that they purchase for use by their workers, students or alumni. For example, we will get contact information for “ LinkedIn Page ” (formerly Company Page) administrators and for authorizing users of our premium Services, such as our recruiting, sales or learning products. 1.8 Sites and Services of Others We get data when you visit sites that include our ads, cookies or plugins or when you log-in to others’ services with your LinkedIn account. We receive information about your visits and interaction with services provided by others when you log-in with LinkedIn or visit others’ services that include some of our plugins (such as “Apply with LinkedIn”) or our ads, cookies or similar technologies. 1.9 Other We are improving our Services, which means we get new data and create new ways to use data. Our Services are dynamic, and we often introduce new features, which may require the collection of new information. If we collect materially different personal data or materially change how we collect, use or share your data, we will notify you and may also modify this Privacy Policy. Key Terms Affiliates Affiliates are companies controlling, controlled by or under common control with us, including, for example, LinkedIn Ireland, LinkedIn Corporation, LinkedIn Singapore and Microsoft Corporation or any of its subsidiaries (e.g., GitHub, Inc.). 2. How We Use Your Data We use your data to provide, support, personalize and develop our Services. How we use your personal data will depend on which Services you use, how you use those Services and the choices you make in your settings . We may use your personal data to improve, develop, and provide products and Services, develop and train artificial intelligence (AI) models, develop, provide, and personalize our Services, and gain insights with the help of AI, automated systems, and inferences, so that our Services can be more relevant and useful to you and others. You can review LinkedIn's Responsible AI principles here and learn more about our approach to generative AI here . Learn more about the inferences we may make, including as to your age and gender and how we use them. 2.1 Services Our Services help you connect with others, find and be found for work and business opportunities, stay informed, get training and be more productive. We use your data to authorize access to our Services and honor your settings. Stay Connected Our Services allow you to stay in touch and up to date with colleagues, partners, clients, and other professional contacts. To do so, you can “connect” with the professionals who you choose, and who also wish to “connect” with you. Subject to your and their settings , when you connect with other Members, you will be able to search each others’ connections in order to exchange professional opportunities. We use data about you (such as your profile, profiles you have viewed or data provided through address book uploads or partner integrations) to help others find your profile, suggest connections for you and others (e.g. Members who share your contacts or job experiences) and enable you to invite others to become a Member and connect with you. You can also opt-in to allow us to use your precise location or proximity to others for certain tasks (e.g. to suggest other nearby Members for you to connect with, calculate the commute to a new job, or notify your connections that you are at a professional event). It is your choice whether to invite someone to our Services, send a connection request, or allow another Member to become your connection. When you invite someone to connect with you, your invitation will include your network and basic profile information (e.g., name, profile photo, job title, region). We will send invitation reminders to the person you invited. You can choose whether or not to share your own list of connections with your connections. Visitors have choices about how we use their data. Stay Informed Our Services allow you to stay informed about news, events and ideas regarding professional topics you care about, and from professionals you respect. Our Services also allow you to improve your professional skills, or learn new ones. We use the data we have about you (e.g., data you provide, data we collect from your engagement with our Services and inferences we make from the data we have about you), to personalize our Services for you, such as by recommending or ranking relevant content and conversations on our Services. We also use the data we have about you to suggest skills you could add to your profile and skills that you might need to pursue your next opportunity. So, if you let us know that you are interested in a new skill (e.g., by watching a learning video), we will use this information to personalize content in your feed, suggest that you follow certain Members on our site, or suggest related learning content to help you towards that new skill. We use your content, activity and other data, including your name and photo, to provide notices to your network and others. For example, subject to your settings , we may notify others that you have updated your profile, posted content, took a social action , used a feature, made new connections or were mentioned in the news . Career Our Services allow you to explore careers, evaluate educational opportunities, and seek out, and be found for, career opportunities. Your profile can be found by those looking to hire (for a job or a specific task ) or be hired by you. We will use your data to recommend jobs and show you and others relevant professional contacts (e.g., who work at a company, in an industry, function or location or have certain skills and connections). You can signal that you are interested in changing jobs and share information with recruiters. We will use your data to recommend jobs to you and you to recruiters. We may use automated systems to provide content and recommendations to help make our Services more relevant to our Members, Visitors and customers. Keeping your profile accurate and up-to-date may help you better connect to others and to opportunities through our Services. Productivity Our Services allow you to collaborate with colleagues, search for potential clients, customers, partners and others to do business with. Our Services allow you to communicate with other Members and schedule and prepare meetings with them. If your settings allow, we scan messages to provide “bots” or similar tools that facilitate tasks such as scheduling meetings, drafting responses, summarizing messages or recommending next steps. Learn more . 2.2 Premium Services Our premium Services help paying users to search for and contact Members through our Services, such as searching for and contacting job candidates, sales leads and co-workers, manage talent and promote content. We sell premium Services that provide our customers and subscribers with customized-search functionality and tools (including messaging and activity alerts) as part of our talent, marketing and sales solutions. Customers can export limited information from your profile, such as name, headline, current company, current title, and general location (e.g., Dublin), such as to manage sales leads or talent, unless you opt-out . We do not provide contact information to customers as part of these premium Services without your consent. Premium Services customers can store information they have about you in our premium Services, such as a resume or contact information or sales history. The data stored about you by these customers is subject to the policies of those customers. Other enterprise Services and features that use your data include TeamLink and LinkedIn Pages (e.g., content analytics and followers). 2.3 Communications We contact you and enable communications between Members. We offer settings to control what messages you receive and how often you receive some types of messages. We will contact you through email, mobile phone, notices posted on our websites or apps, messages to your LinkedIn inbox, and other ways through our Services, including text messages and push notifications. We will send you messages about the availability of our Services, security, or other service-related issues. We also send messages about how to use our Services, network updates, reminders, job suggestions and promotional messages from us and our partners. You may change your communication preferences at any time. Please be aware that you cannot opt out of receiving service messages from us, including security and legal notices. We also enable communications between you and others through our Services, including for example invitations , InMail , groups and messages between connections. 2.4 Advertising We serve you tailored ads both on and off our Services. We offer you choices regarding personalized ads, but you cannot opt-out of seeing non-personalized ads. We target (and measure the performance of) ads to Members, Visitors and others both on and off our Services directly or through a variety of partners, using the following data, whether separately or combined: Data collected by advertising technologies on and off our Services using pixels, ad tags (e.g., when an advertiser installs a LinkedIn tag on their website), cookies, and other device identifiers; Member-provided information (e.g., profile, contact information, title and industry); Data from your use of our Services (e.g., search history, feed, content you read, who you follow or is following you, connections, groups participation, page visits, videos you watch, clicking on an ad, etc.), including as described in Section 1.3; Information from advertising partners , vendors and publishers ; and Information inferred from data described above (e.g., using job titles from a profile to infer industry, seniority, and compensation bracket; using graduation dates to infer age or using first names or pronoun usage to infer gender; using your feed activity to infer your interests; or using device data to recognize you as a Member). Learn more about the inferences we make and how they may be used for advertising. Learn more about the ad technologies we use and our advertising services and partners. You can learn more about our compliance with laws in the Designated Countries or the UK in our European Regional Privacy Notice . We will show you ads called sponsored content which look similar to non-sponsored content, except that they are labeled as advertising (e.g., as “ad” or “sponsored”). If you take a social action (such as like, comment or share) on these ads, your action is associated with your name and viewable by others, including the advertiser. Subject to your settings , if you take a social action on the LinkedIn Services, that action may be mentioned with related ads. For example, when you like a company we may include your name and photo when their sponsored content is shown. Ad Choices You have choices regarding our uses of certain categories of data to show you more relevant ads. Member settings can be found here . For Visitors, the setting is here . Info to Ad Providers We do not share your personal data with any non-Affiliated third-party advertisers or ad networks except for: (i) hashed IDs or device identifiers (to the extent they are personal data in some countries); (ii) with your separate permission (e.g., in a lead generation form) or (iii) data already visible to any users of the Services (e.g., profile). However, if you view or click on an ad on or off our Services, the ad provider will get a signal that someone visited the page that displayed the ad, and they may, through the use of mechanisms such as cookies, determine it is you. Advertising partners can associate personal data collected by the advertiser directly from you with hashed IDs or device identifiers received from us. We seek to contractually require such advertising partners to obtain your explicit, opt-in consent before doing so where legally required, and in such instances, we take steps to ensure that consent has been provided before processing data from them. 2.5 Marketing We promote our Services to you and others. In addition to advertising our Services, we use Members’ data and content for invitations and communications promoting membership and network growth, engagement and our Services, such as by showing your connections that you have used a feature on our Services. 2.6 Developing Services and Research We develop our Services and conduct research Service Development We use data, including public feedback, to conduct research and development for our Services in order to provide you and others with a better, more intuitive and personalized experience, drive membership growth and engagement on our Services, and help connect professionals to each other and to economic opportunity. Other Research We seek to create economic opportunity for Members of the global workforce and to help them be more productive and successful. We use the personal data available to us to research social, economic and workplace trends, such as jobs availability and skills needed for these jobs and policies that help bridge the gap in various industries and geographic areas. In some cases, we work with trusted third parties to perform this research, under controls that are designed to protect your privacy. We may also make public data available to researchers to enable assessment of the safety and legal compliance of our Services. We publish or allow others to publish economic insights, presented as aggregated data rather than personal data. Surveys Polls and surveys are conducted by us and others through our Services. You are not obligated to respond to polls or surveys, and you have choices about the information you provide. You may opt-out of survey invitations. 2.7 Customer Support We use data to help you and fix problems. We use data (which can include your communications) to investigate, respond to and resolve complaints and for Service issues (e.g., bugs). 2.8 Insights That Do Not Identify You We use data to generate insights that do not identify you. We use your data to perform analytics to produce and share insights that do not identify you. For example, we may use your data to generate statistics about our Members, their profession or industry, to calculate ad impressions served or clicked on (e.g., for basic business reporting to support billing and budget management or, subject to your settings , for reports to advertisers who may use them to inform their advertising campaigns), to show Members' information about engagement with a post or LinkedIn Page , to publish visitor demographics for a Service or create demographic workforce insights, or to understand usage of our services. 2.9 Security and Investigations We use data for security, fraud prevention and investigations. We and our Affiliates, including Microsoft, may use your data (including your communications) for security purposes or to prevent or investigate possible fraud or other violations of the law, our User Agreement and/or attempts to harm our Members, Visitors, company, Affiliates, or others. Key Terms Social Action E.g. like, comment, follow, share Partners Partners include ad networks, exchanges and others 3. How We Share Information 3.1 Our Services Any data that you include on your profile and any content you post or social action (e.g., likes, follows, comments, shares) you take on our Services will be seen by others, consistent with your settings. Profile Your profile is fully visible to all Members and customers of our Services. Subject to your settings , it can also be visible to others on or off of our Services (e.g., Visitors to our Services or users of third-party search tools). As detailed in our Help Center , your settings, degree of connection with the viewing Member, the subscriptions they may have, their usage of our Services , access channels and search types (e.g., by name or by keyword) impact the availability of your profile and whether they can view certain fields in your profile. Posts, Likes, Follows, Comments, Messages Our Services allow viewing and sharing information including through posts, likes, follows and comments. When you share an article or a post (e.g., an update, image, video or article) publicly it can be viewed by everyone and re-shared anywhere (subject to your settings ). Members, Visitors and others will be able to find and see your publicly-shared content, including your name (and photo if you have provided one). In a group , posts are visible to others according to group type. For example, posts in private groups are visible to others in the group and posts in public groups are visible publicly. Your membership in groups is public and part of your profile, but you can change visibility in your settings . Any information you share through companies’ or other organizations’ pages on our Services will be viewable by those organizations and others who view those pages' content. When you follow a person or organization, you are visible to others and that “page owner” as a follower. We let senders know when you act on their message, subject to your settings where applicable. Subject to your settings , we let a Member know when you view their profile. We also give you choices about letting organizations know when you've viewed their Page. When you like or re-share or comment on another’s content (including ads), others will be able to view these “social actions” and associate it with you (e.g., your name, profile and photo if you provided it). Your employer can see how you use Services they provided for your work (e.g. as a recruiter or sales agent) and related information. We will not show them your job searches or personal messages. Enterprise Accounts Your employer may offer you access to our enterprise Services such as Recruiter, Sales Navigator, LinkedIn Learning or our advertising Campaign Manager. Your employer can review and manage your use of such enterprise Services. Depending on the enterprise Service, before you use such Service, we will ask for permission to share with your employer relevant data from your profile or use of our non-enterprise Services. For example, users of Sales Navigator will be asked to share their “social selling index”, a score calculated in part based on their personal account activity. We understand that certain activities such as job hunting and personal messages are sensitive, and so we do not share those with your employer unless you choose to share it with them through our Services (for example, by applying for a new position in the same company or mentioning your job hunting in a message to a co-worker through our Services). Subject to your settings , when you use workplace tools and services (e.g., interactive employee directory tools) certain of your data may also be made available to your employer or be connected with information we receive from your employer to enable these tools and services. 3.2 Communication Archival Regulated Members may need to store communications outside of our Service. Some Members (or their employers) need, for legal or professional compliance, to archive their communications and social media activity, and will use services of others to provide these archival services. We enable archiving of messages by and to those Members outside of our Services. For example, a financial advisor needs to archive communications with her clients through our Services in order to maintain her professional financial advisor license. 3.3 Others’ Services You may link your account with others’ services so that they can look up your contacts’ profiles, post your shares on such platforms, or enable you to start conversations with your connections on such platforms. Excerpts from your profile will also appear on the services of others. Subject to your settings , other services may look up your profile. When you opt to link your account with other services, personal data (e.g., your name, title, and company) will become available to them. The sharing and use of that personal data will be described in, or linked to, a consent screen when you opt to link the accounts. For example, you may link your Twitter or WeChat account to share content from our Services into these other services, or your email provider may give you the option to upload your LinkedIn contacts into its own service. Third-party services have their own privacy policies, and you may be giving them permission to use your data in ways we would not. You may revoke the link with such accounts. The information you make available to others in our Services (e.g., information from your profile, your posts, your engagement with the posts, or message to Pages) may be available to them on other services . For example, search tools, mail and calendar applications, or talent and lead managers may show a user limited profile data (subject to your settings ), and social media management tools or other platforms may display your posts. The information retained on these services may not reflect updates you make on LinkedIn. 3.4 Related Services We share your data across our different Services and LinkedIn affiliated entities. We will share your personal data with our Affiliates to provide and develop our Services. For example, we may refer a query to Bing in some instances, such as where you'd benefit from a more up to date response in a chat experience. Subject to our European Regional Privacy Notice , we may also share with our Affiliates, including Microsoft, your (1) publicly-shared content (such as your public LinkedIn posts) to provide or develop their services and (2) personal data to improve, provide or develop their advertising services. Where allowed , we may combine information internally across the different Services covered by this Privacy Policy to help our Services be more relevant and useful to you and others. For example, we may personalize your feed or job recommendations based on your learning history. 3.5 Service Providers We may use others to help us with our Services. We use others to help us provide our Services (e.g., maintenance, analysis, audit, payments, fraud detection, customer support, marketing and development). They will have access to your information (e.g., the contents of a customer support request) as reasonably necessary to perform these tasks on our behalf and are obligated not to disclose or use it for other purposes. If you purchase a Service from us, we may use a payments service provider who may separately collect information about you (e.g., for fraud prevention or to comply with legal obligations). 3.6 Legal Disclosures We may need to share your data when we believe it’s required by law or to help protect the rights and safety of you, us or others. It is possible that we will need to disclose information about you when required by law, subpoena, or other legal process or if we have a good faith belief that disclosure is reasonably necessary to (1) investigate, prevent or take action regarding suspected or actual illegal activities or to assist government enforcement agencies; (2) enforce our agreements with you; (3) investigate and defend ourselves against any third-party claims or allegations; (4) protect the security or integrity of our Services or the products or services of our Affiliates (such as by sharing with companies facing similar threats); or (5) exercise or protect the rights and safety of LinkedIn, our Members, personnel or others. We attempt to notify Members about legal demands for their personal data when appropriate in our judgment, unless prohibited by law or court order or when the request is an emergency. We may dispute such demands when we believe, in our discretion, that the requests are overbroad, vague or lack proper authority, but we do not promise to challenge every demand. To learn more see our Data Request Guidelines and Transparency Report . 3.7 Change in Control or Sale We may share your data when our business is sold to others, but it must continue to be used in accordance with this Privacy Policy. We can also share your personal data as part of a sale, merger or change in control, or in preparation for any of these events. Any other entity which buys us or part of our business will have the right to continue to use your data, but only in the manner set out in this Privacy Policy unless you agree otherwise. 4. Your Choices & Obligations 4.1 Data Retention We keep most of your personal data for as long as your account is open. We generally retain your personal data as long as you keep your account open or as needed to provide you Services. This includes data you or others provided to us and data generated or inferred from your use of our Services. Even if you only use our Services when looking for a new job every few years, we will retain your information and keep your profile open, unless you close your account. In some cases we choose to retain certain information (e.g., insights about Services use) in a depersonalized or aggregated form. 4.2 Rights to Access and Control Your Personal Data You can access or delete your personal data. You have many choices about how your data is collected, used and shared. We provide many choices about the collection, use and sharing of your data, from deleting or correcting data you include in your profile and controlling the visibility of your posts to advertising opt-outs and communication controls. We offer you settings to control and manage the personal data we have about you. For personal data that we have about you, you can: Delete Data : You can ask us to erase or delete all or some of your personal data (e.g., if it is no longer necessary to provide Services to you). Change or Correct Data : You can edit some of your personal data through your account. You can also ask us to change, update or fix your data in certain cases, particularly if it’s inaccurate. Object to, or Limit or Restrict, Use of Data : You can ask us to stop using all or some of your personal data (e.g., if we have no legal right to keep using it) or to limit our use of it (e.g., if your personal data is inaccurate or unlawfully held). Right to Access and/or Take Your Data : You can ask us for a copy of your personal data and can ask for a copy of personal data you provided in machine readable form. Visitors can learn more about how to make these requests here . You may also contact us using the contact information below, and we will consider your request in accordance with applicable laws. Residents in the Designated Countries and the UK , and other regions , may have additional rights under their laws. 4.3 Account Closure We keep some of your data even after you close your account. If you choose to close your LinkedIn account, your personal data will generally stop being visible to others on our Services within 24 hours. We generally delete closed account information within 30 days of account closure, except as noted below. We retain your personal data even after you have closed your account if reasonably necessary to comply with our legal obligations (including law enforcement requests), meet regulatory requirements, resolve disputes, maintain security, prevent fraud and abuse (e.g., if we have restricted your account for breach of our Professional Community Policies ), enforce our User Agreement, or fulfill your request to "unsubscribe" from further messages from us. We will retain de-personalized information after your account has been closed. Information you have shared with others (e.g., through InMail, updates or group posts) will remain visible after you close your account or delete the information from your own profile or mailbox, and we do not control data that other Members have copied out of our Services. Groups content and ratings or review content associated with closed accounts will show an unknown user as the source. Your profile may continue to be displayed in the services of others (e.g., search tools) until they refresh their cache. 5. Other Important Information 5.1. Security We monitor for and try to prevent security breaches. Please use the security features available through our Services. We implement security safeguards designed to protect your data, such as HTTPS. We regularly monitor our systems for possible vulnerabilities and attacks. However, we cannot warrant the security of any information that you send us. There is no guarantee that data may not be accessed, disclosed, altered, or destroyed by breach of any of our physical, technical, or managerial safeguards. 5.2. Cross-Border Data Transfers We store and use your data outside your country. We process data both inside and outside of the United States and rely on legally-provided mechanisms to lawfully transfer data across borders. Learn more . Countries where we process data may have laws which are different from, and potentially not as protective as, the laws of your own country. 5.3 Lawful Bases for Processing We have lawful bases to collect, use and share data about you. You have choices about our use of your data. At any time, you can withdraw consent you have provided by going to settings. We will only collect and process personal data about you where we have lawful bases. Lawful bases include consent (where you have given consent), contract (where processing is necessary for the performance of a contract with you (e.g., to deliver the LinkedIn Services you have requested) and “legitimate interests.” Learn more . Where we rely on your consent to process personal data, you have the right to withdraw or decline your consent at any time and where we rely on legitimate interests, you have the right to object. Learn More . If you have any questions about the lawful bases upon which we collect and use your personal data, please contact our Data Protection Officer here . If you're located in one of the Designated Countries or the UK, you can learn more about our lawful bases for processing in our European Regional Privacy Notice . 5.4. Direct Marketing and Do Not Track Signals Our statements regarding direct marketing and “do not track” signals. We currently do not share personal data with third parties for their direct marketing purposes without your permission. Learn more about this and about our response to “do not track” signals. 5.5. Contact Information You can contact us or use other options to resolve any complaints. If you have questions or complaints regarding this Policy, please first contact LinkedIn online. You can also reach us by physical mail . If contacting us does not resolve your complaint, you have more options . Residents in the Designated Countries and other regions may also have the right to contact our Data Protection Officer here . If this does not resolve your complaint, Residents in the Designated Countries and other regions may have more options under their laws. Key Terms Consent Where we process data based on consent, we will ask for your explicit consent. You may withdraw your consent at any time, but that will not affect the lawfulness of the processing of your personal data prior to such withdrawal. Where we rely on contract, we will ask that you agree to the processing of personal data that is necessary for entering into or performance of your contract with us. We will rely on legitimate interests as a basis for data processing where the processing of your data is not overridden by your interests or fundamental rights and freedoms. 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https://play.google.com/store/apps/details?id=notion.id&hl=fr_CH | Notion: Notes, Tasks, AI - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Notion: Notes, Tasks, AI Notion Labs, Inc. In-app purchases 4.8 star 327K reviews 10M+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Whether you’re looking to track your personal to-do’s, write and organize class notes, or run project management with a team, Notion is the AI-powered workspace that works your way, for any need. Keep track of your personal and professional goals, take notes about what you care about, and stay organized. "AI's everything app" — Forbes Notion is a productivity app where you can write, plan, and organize your notes, projects, tasks and more - all in one place. Ask Notion AI about project updates, upcoming tasks, and suggestions for a more streamlined workflow. Simplify writing notes, project and task management, and collaboration. Whether for personal, student or professional use, Notion scales to meet your individual needs with customization tools for everyone. FREE FOR PERSONAL USE • Create as many notes, docs, and content as you want. • Use one of thousands of templates to get started. FREE TO TRY WITH YOUR TEAM • Millions run on Notion every day, from next-generation startups to established enterprises. • Import Google Docs, PDFs, and other content types easily to get started • Write and organize meeting notes, or transcribe with AI. • Collaboration and team work at your fingertips, in one connected workspace. • Connect tools like Figma, Slack, and GitHub to Notion. FREE FOR STUDENTS • Your study planner, class notes, to do lists and more, your way. Loved by millions of students worldwide. • Get organized for your best school year yet with beautiful, customizable templates created by students, for students. NOTES & DOCS Communication is made efficient with Notion's flexible building blocks. • Create docs with beautiful templates, images, to-dos, and 50+ more content types. • Meeting notes, projects, design systems, pitch decks, and more. • Find exactly what you need using Search with powerful filters to find content across your workspace. TASKS & PROJECTS Catch all details big and small in any workflow. • Workflow manager: Create your own priority labels, status tags, and automations to choose the exact info you want to track. • Capture every detail in a table. Break projects into manageable tasks to get the work done. AI One tool that does it all - search, generate, analyze, and chat - right inside Notion. • Write better. Use Notion AI to help write and brainstorm. • Get answers. Ask Notion AI questions about all your content and get answers in seconds. • Autofill tables. Notion AI turns overwhelming data into clear, actionable information — automatically. SYNCS WITH BROWSER, MAC, AND WINDOWS APPS. • Pick up on mobile where you left off on desktop. MORE PRODUCTIVITY. FEWER TOOLS. • Track to-dos, write notes, create docs, and manage projects in one connected workspace. THINK IT. MAKE IT. Updated on Jan 13, 2026 Productivity Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. This app may share these data types with third parties Personal info, App activity and 2 others This app may collect these data types Personal info, Photos and videos and 5 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.8 319K reviews 5 4 3 2 1 Sommy Nriama more_vert Flag inappropriate Show review history <path d="M12 17.27L | 2026-01-13T09:29:58 |
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https://snyk.io/es/solutions/secure-ai-generated-code/ | Código seguro generado por IA | Herramientas de programación de IA | Corrección automática de código de IA | Snyk You need to enable JavaScript to run this app. Skip to main content Plataforma Plataforma Plataforma Snyk AI Trust Seguridad moderna en una única plataforma Flujos de trabajo de IA de Snyk Flujos de trabajo basados en IA para proteger aplicaciones DeepCode AI IA de seguridad diseñada específicamente Integraciones Seguridad que abarca todo el SDLC Snyk Learn Formación en seguridad para desarrolladores Precios Productos Snyk Code Protege el código a medida que lo escribes Snyk Open Source Evita tener dependencias vulnerables Snyk Container Mantén seguras tus imágenes base Snyk IaC Corrige configuraciones incorrectas de IaC en el código Snyk API & Web Encuentra y prueba API y aplicaciones web Snyk Studio Fix and secure AI-generated code Soluciones Código seguro generado por IA La IA escribe, Snyk asegura Seguridad de la aplicación Desarrolla con seguridad, mantente seguro Seguridad de la cadena de suministro de software Mitiga el riesgo de la cadena de suministro Vulnerabilidades de día cero Arregla el primer día con Snyk Inteligencia en materia de seguridad Datos completos sobre vulnerabilidad Verificador de códigos Escribe mejor código gratis Risk-Based Prioritization Fix what matters most Snyk anunció la primera plataforma AI Trust Mira a pedido Recursos Nuestros recursos Biblioteca de recursos Consulta nuestra amplia base de datos Recursos para los clientes La tienda “todo en uno” para los clientes Hacking ético Cómo puede ayudarte el hacking ético Las 10 principales vulnerabilidades Ver los tipos de vulnerabilidades más comunes Blog de Snyk Pódcasts de Snyk YouTube de Snyk AI Glossary Conocimientos y documentos Snyk Labs Investigación de IA, vulnerabilidades y DevSecOps Snyk Learn Formación en seguridad de Snyk Documentos de usuario de Snyk Empieza a utilizar Snyk Soporte de Snyk ¿Cómo podemos ayudar? 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Snyk API & Web - Todos los clientes Snyk API & Web (DAST) plus.probely.app Regístrate Reserva una demostración en vivo Soluciones Seguridad de la aplicación Seguridad de la cadena de suministro de software Código seguro generado por IA Vulnerabilidades de día cero Secure at inception Select Seguridad de la aplicación Seguridad de la cadena de suministro de software Código seguro generado por IA Vulnerabilidades de día cero Secure at inception Snyk Code protege el código generado por IA Los asistentes de IA para código aumentan la productividad, la velocidad de entrega y... los riesgos de seguridad. Empodera a tus desarrolladores para que utilicen sus herramientas de codificación de IA favoritas de manera segura al mitigar los riesgos de seguridad generados por la IA con la herramienta de IA SAST, Snyk Code , y su agente de corrección automática, Snyk Agent Fix, que forma parte de la plataforma Snyk AI Trust. Reserva una demostración en vivo La IA plantea una nueva realidad para la programación Para los equipos de seguridad que están en inferioridad numérica, ya es bastante difícil seguirle el ritmo al código escrito por desarrolladores. Pero esta complejidad aumentó exponencialmente con la aparición de herramientas de IA para código. Play Video Los desarrolladores usan herramientas de IA para código En sus tareas, el 96 % de los equipos de desarrolladores ya está usando herramientas de IA para código. La IA puede crear código vulnerable La IA es adecuada si los datos con los que se entrena también son correctos, lo que significa que hay riesgos de seguridad de código desde un primer momento. El código de IA abruma aún más la seguridad La cantidad de código creado por equipos de desarrollo aumenta exponencialmente debido al uso de las herramientas de IA para código, como Copilot. Asegura el código generado por IA en segundos Combina herramientas de codificación de IA con la herramienta de IA SAST, Snyk Code, y agente de seguridad de IA, para escribir, escanear y corregir automáticamente el código de forma segura en segundos, reduciendo el tiempo de remediación (MTTR) en un 84 % o más. Recuerda que primero debes activar Snyk Agent Fix en la configuración. Play Video 1. Las herramientas de IA escriben código en el IDE Los desarrolladores usan herramientas como GitHub Copilot para escribir código a mayor velocidad. 2. Snyk Code escanea el código en tiempo real Snyk Code escanea el código mientras se está escribiendo y actualizando, señalando vulnerabilidades en línea. 3. Snyk Agent Fix corrige automáticamente problemas en segundos Los desarrolladores eligen una corrección analizada previamente, 80 % precisa en seguridad , y la aplican con un clic. Seguridad de código integral desde los niveles más bajos hasta los más altos Snyk Code analiza automáticamente el código fuente mientras que el agente de seguridad de IA Snyk Agent Fix genera y valida correcciones de código de forma autónoma. Esto hace que sea rápido y fácil proteger el código mientras se escribe (por humanos o IA) a la vez que les da a los equipos de seguridad supervisión e información dirigida durante todo el proceso. Play Video Protege tus aplicaciones y datos con IA alojada de manera privada y con inteligencia de seguridad líder en la industria Snyk garantiza la seguridad de los datos y un alto nivel de precisión sin alucinaciones para empresas como Snowflake y Komatsu al impulsar nuestra plataforma con IA personalizada y alojada de forma privada que incluye métodos de IA simbólica y aprendizaje automático como IA generativa, y al combinar nuestras tecnologías con el conocimiento experto humano de los especialistas en seguridad de Snyk . Obtén más información sobre DeepCode AI Simplifica la adopción por desarrolladores con nuestros complementos de IDE y la experiencia de solicitud de cambio Snyk Code agrega seguridad directamente en los IDE y solicitudes de cambios con escaneo de vulnerabilidades en tiempo real y autocorrección de código generado por humanos y por IA, proporcionando explicaciones de soluciones específicas de contexto y consejos de solución aplicables en línea, para que los desarrolladores puedan resolver problemas informados, temprano y en segundos. Descubre los complementos de Snyk La gobernanza de IA mediante una plataforma, con funcionalidades de supervisión y elaboración de informes de gran impacto Con Snyk, podrás definir, gestionar y escalar el programa de seguridad para la aplicación moderno con visibilidad integral y priorización inteligente sobre las aplicaciones, la gobernanza y la automatización. Conoce las funcionalidades de gobernanza de Snyk “Con el análisis estático de IA de Snyk Code y su última innovación, Snyk Agent Fix, nuestros equipos de desarrollo y seguridad ahora pueden asegurarse de entregar software más seguro con mayor rapidez”. Steve Pugh CISO , ICE/NYSE Comienza a proteger el código generado por IA Crea tu cuenta gratuita de Snyk para empezar a proteger el código generado por IA de forma automática. O reserva una demostración con un experto para ver cómo Snyk puede adaptarse a tus casos de uso específicos de seguridad como desarrollador. Comienza sin pagar nada Reserva una demostración en vivo Más recursos Blog Por qué necesitas barreras de seguridad para el código creado por IA Seminario web a pedido Barreras de IA para la seguridad de aplicaciones Informes y documentos Informe de preparación organizacional para la IA Plataforma Plataforma Snyk AI Trust Flujos de trabajo de IA de Snyk DeepCode AI Integraciones Nuestros recursos Biblioteca de recursos Blog Pódcasts de Snyk Conocimientos y documentos Snyk Labs Snyk Learn Documentos de usuario de Snyk Soporte de Snyk Base de datos de vulnerabilidades de Snyk Actualizaciones de Snyk Snyk Trust Center Empresa y comunidad Acerca de Snyk Contáctanos Reserva una demostración Empleos Eventos y seminarios web Embajadores Por qué Snyk Snyk frente a GitHub Advanced Security Snyk frente a Veracode Snyk frente a Checkmarx Snyk frente a Black Duck Snyk frente Wiz La plataforma de seguridad para desarrolladores Snyk te ofrece la visibilidad, el contexto y el control que necesitas para trabajar junto a los desarrolladores en la reducción del riesgo de las aplicaciones. 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