This is a self-paced lab that takes place in the Google Cloud console. This lab will provide an introductory, hands-on experience with Generative AI on Google Cloud.

Getting started with the Vertex AI Gemini 1.5 Pro Model


This is a self-paced lab that takes place in the Google Cloud console. Learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).

Securing Compute Engine Applications and Resources using Chrome Enterprise Premium


This is a self-paced lab that takes place in the Google Cloud console.

In this lab, you migrate MySQL data from an Amazon RDS instance for MySQL to Cloud SQL for MySQL using a one-time Database Migration Service job and an IP allowlist for connectivity. After you create and run the migration job, you confirm that the data have been successfully migrated to your Cloud SQL for MySQL instance.

Migrating to Cloud SQL from Amazon RDS for MySQL Using Database Migration Service


Develop Code with Gemini in BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab you learn how to use Gemini code generation, explanation and suggestions in BigQuery.


Ce cours présente une approche pratique du workflow de ML avec une étude de cas dans laquelle une équipe est confrontée à plusieurs exigences métier et cas d'utilisation de ML. Cette équipe doit comprendre quels outils sont nécessaires pour gérer et gouverner les données, et trouver la meilleure approche pour les prétraiter.

On présente à cette équipe trois options de création de modèles de ML pour deux cas d'utilisation spécifiques. Ce cours explique pourquoi l'équipe tire parti des avantages d'AutoML, de BigQuery ML ou de l'entraînement personnalisé pour atteindre ses objectifs.

Machine Learning in the Enterprise - Français


Ce cours présente les modèles de diffusion, une famille de modèles de machine learning qui s'est récemment révélée prometteuse dans le domaine de la génération d'images. Les modèles de diffusion trouvent leur origine dans la physique, et plus précisément dans la thermodynamique. Au cours des dernières années, ils ont gagné en popularité dans la recherche et l'industrie. Ils sont à la base de nombreux modèles et outils Google Cloud avancés de génération d'images. Ce cours vous présente les bases théoriques des modèles de diffusion, et vous explique comment les entraîner et les déployer sur Vertex AI.

Introduction to Image Generation - Français


This is a self-paced lab that takes place in the Google Cloud console. This lab teaches you how logging works on GKE and some best practices for log collection by going through some common logging use cases.

Debugging Apps on Google Kubernetes Engine


Multimodality with Gemini

This is a self-paced lab that takes place in the Google Cloud console. This lab provides a variety of different use cases enabled by multimodality with Gemini Pro Vision.


This course teaches you how to implement various capabilities that include data organization and management, application security, actions and integrations in your app using AppSheet. The course also includes topics on managing and upgrading your app, improving performance and troubleshooting issues with your app.

Building No-Code Apps with AppSheet: Implementation


Google Workspace 问题排查

本课程旨在帮助 Google Workspace 管理员排查常见的 Google Workspace 问题。学员将练习诊断并解决 Gmail、日历和云端硬盘中的问题，并了解管理控制台的使用方法。学员还将体验如何分析审核日志以排查安全问题，以及收集信息并使用可用资源来排查并报告技术问题。


This is a self-paced lab that takes place in the Google Cloud console.
In this lab, you will learn how to implement a full data protection strategy with NetApp Cloud Volumes ONTAP and Cloud Manager capabilities.

Protecting Data with NetApp Cloud Manager & Cloud Volumes ONTAP for Google Cloud


Assessing Data Quality with Dataplex

This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to assess data quality using Dataplex.


This course introduces the Cloud Run serverless platform for running applications.
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle.
You learn about service identities, how to control access to services, and how to develop and test your
application locally before deploying it to Cloud Run. The course also teaches you how to integrate
with other services on Google Cloud so you can build full-featured applications.

Developing Applications with Cloud Run on Google Cloud: Fundamentals


This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.

- Recognize the NLP products and the solutions on Google Cloud.
- Create an end-to-end NLP workflow by using AutoML with Vertex AI.
- Build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow.
- Recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT.
- Understand transfer learning and apply pre-trained models to solve NLP problems.

Prerequisites: Basic SQL, familiarity with Python and TensorFlow

Natural Language Processing on Google Cloud


This is a self-paced lab that takes place in the Google Cloud console. In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.

Bracketology with Google Machine Learning


벡터 검색 및 임베딩

이 과정에서는 AI 기반 검색 기술, 도구, 애플리케이션을 살펴봅니다. 벡터 임베딩을 활용하는 시맨틱 검색, 시맨틱 방식과 키워드 방식을 결합한 하이브리드 검색, 그라운딩된 AI 에이전트로서 AI 할루시네이션을 최소화하는 검색 증강 생성(RAG)에 대해 알아보세요. Vertex AI 벡터 검색을 활용해 지능형 검색 엔진을 빌드하는 실무 경험을 쌓을 수 있습니다.


In this course, you learn how to secure your APIs. You explore the security concerns you will encounter for your APIs. You learn about OAuth, the primary authorization method for REST APIs. You will learn about JSON Web Tokens (JWTs) and federated security. You also learn about securing against malicious requests, safely sending requests across a public network, and how to secure your data for users of Apigee.

Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform.

This is the second course of the Developing APIs with the Apigee API Platform series. After completing this course, enroll in the API Development with the Apigee API Platform course.

API Security with the Apigee API Platform


Neste curso, apresentamos conceitos de IA responsável e princípios de IA. Ele contém técnicas para identificar e reduzir o viés e aplicar a imparcialidade nas práticas de ML/IA. Vamos abordar ferramentas e métodos práticos para implementar as práticas recomendadas de IA responsável usando produtos do Google Cloud e ferramentas de código aberto.

Responsible AI for Developers: Fairness & Bias - Português


이 과정은 BigQuery에서 생성형 AI 작업에 AI/ML 모델을 사용하는 방법을 보여줍니다. 고객 관계 관리와 관련된 실제 사용 사례를 통해 Gemini 모델로 비즈니스 문제를 해결하는 워크플로를 설명합니다. 이해를 돕기 위해 SQL 쿼리와 Python 노트북을 사용하는 코딩 솔루션을 단계별로 안내합니다.

Work with Gemini Models in BigQuery - 日本語版


生成式 AI：掌握幕後技術與環境

「生成式 AI：掌握幕後技術與環境」是 Generative AI Leader 學習路徑的第三門課程。生成式 AI 正在改變我們的工作方式,以及我們如何與周遭的世界互動。身為領導者,您要如何駕馭 AI 強大的功能,創造實際業務成果?在本課程中,您將認識建構生成式 AI 解決方案時的各個層面、Google Cloud 產品,以及選擇解決方案時應考量的因素。


このコースでは、Transformer アーキテクチャと Bidirectional Encoder Representations from Transformers（BERT）モデルの概要について説明します。セルフアテンション機構をはじめとする Transformer アーキテクチャの主要コンポーネントと、それが BERT モデルの構築にどのように使用されているのかについて学習します。さらに、テキスト分類、質問応答、自然言語推論など、BERT を適用可能なその他のタスクについても学習します。このコースの推定所要時間は約 45 分です。

Transformer Models and BERT Model - 日本語版


Banyak perusahaan tradisional menggunakan sistem dan aplikasi lama yang tidak dapat mengikuti ekspektasi pelanggan modern. Para pemimpin bisnis sering kali harus memilih antara mempertahankan sistem IT lama mereka atau berinvestasi pada produk dan layanan baru. Kursus ini mengeksplorasi tantangan tersebut dan menawarkan solusi untuk mengatasinya dengan menggunakan teknologi cloud.

Sebagai bagian dari alur pembelajaran Cloud Digital Leader, kursus ini bertujuan membantu individu berkembang dalam peran mereka dan membangun masa depan bisnis mereka.

3-4 hours of study, no less than 1 hour/day

Memodernisasi Infrastruktur dan Aplikasi dengan Google Cloud


Este curso foi criado para ajudar a entender como os usuários e recursos são gerenciados no Workspace. Os estudantes vão conhecer a configuração de unidades organizacionais e como ela pode ser adaptada às demandas das organizações em que trabalham. Além disso, os estudantes vão aprender a gerenciar vários tipos de grupos do Google. O curso também vai mostrar como gerenciar as configurações de domínios no Google Workspace. Por fim, os estudantes aprenderão a otimizar e estruturar recursos no seu ambiente do Google Workspace.

Gerenciamento de usuários e recursos no Google Workspace


Spécialement conçu pour les professionnels de santé, ce cours lève le voile sur l'IA générative (la dernière avancée en matière d'intelligence artificielle) et les grands modèles de langage ou LLM (la technologie qui alimente ce type d'IA). Découvrez des applications concrètes de l'IA générative dans le secteur de la santé et apprenez à créer des prompts efficaces adaptés à vos objectifs.

L'IA générative pour le secteur de la santé


Neste curso, você vai embarcar em uma jornada completa pelas soluções de armazenamento disponíveis no Google Cloud, especialmente desenvolvidas para cargas de trabalho de IA e de computação de alto desempenho (HPC, na sigla em inglês). Você vai aprender a escolher o armazenamento certo para cada etapa do ciclo de vida de machine learning, descobrir como otimizar o desempenho de E/S durante o treinamento, como gerenciar conjuntos de dados enormes para preparação de dados e como disponibilizar artefatos do modelo com baixa latência. Por meio de exemplos práticos e demonstrações, você vai adquirir a experiência necessária para projetar soluções de armazenamento robustas que aceleram a inovação em IA.

Infraestrutura de IA: opções de armazenamento


Google Meet - Español

En este curso, te presentamos Google Meet, el software para videoconferencias de Google que se incluye en Google Workspace.

Aprenderás a crear y administrar reuniones de videoconferencia con Google Meet. Descubrirás diferentes maneras para abrir Google Meet y agregar personas a una videoconferencia. También aprenderás a unirte a reuniones desde diferentes fuentes, como eventos de calendario o vínculos de reuniones.

Explicaremos cómo Google Meet te puede ayudar a comunicarte mejor, intercambiar ideas y compartir recursos con tu equipo donde sea que estén. Aprenderás a personalizar el entorno de Google Meet según tus necesidades y a utilizar eficazmente los mensajes de chat durante una videoconferencia. También descubrirás diferentes maneras para compartir recursos, como usar las invitaciones o los archivos adjuntos del calendario.

Aprenderás a usar los controles del organizador en Google Meet para administrar a los participantes y utilizar las funciones de moderación interactiva. También aprenderás a grabar y transmitir en vivo las videoconferencias.


This is a self-paced lab that takes place in the Google Cloud console. Learn how to run distributed services on multiple Google Kubernetes Engine (GKE) clusters in Google Cloud using Multi Cluster Ingress and GKE Service Mesh

Manage and Secure Distributed Services with GKE Managed Service Mesh


La technologie cloud est un atout de taille qui, lorsqu'elle est associée aux données, devient un catalyseur d'innovation et d'amélioration de l'expérience client. Le cours "Explorer la transformation des données avec Google Cloud" explique comment les entreprises peuvent exploiter le cloud pour rendre leurs données plus accessibles, exploitables et utiles.

Ce cours fait partie du parcours de formation Cloud Digital Leader. Il vise à aider les participants à évoluer dans leur poste et à bâtir l'avenir de leur entreprise.

Exploring Data Transformation with Google Cloud - Français


Ce cours présente Gemini dans BigQuery, une suite de fonctionnalités basées sur l'IA conçue pour faciliter le workflow "des données à l'IA". Ces fonctionnalités incluent l'exploration et la préparation des données, la génération et le dépannage de code, ainsi que la découverte et la visualisation du workflow. Au moyen d'explications conceptuelles, d'un cas d'utilisation concret et d'ateliers pratiques, le cours explique aux professionnels des données comment booster leur productivité et accélérer le pipeline de développement.

Boost Productivity with Gemini in BigQuery - Français


Google Workspace 的使用者和資源管理功能

本課程介紹 Google Workspace 的使用者和資源管理功能，學員將瞭解如何根據組織需求來設定組織單位、管理各類型的 Google 群組、培養有關管理 Google Workspace 網域設定的專業知識，最後學會如何最佳化及整理 Google Workspace 環境內的資源。


This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will create a Cloud Function for Node.js that reports whether a specified temperature is acceptable or too hot. You will create, test, and debug your Cloud Function using Visual Studio Code on your local machine. Lastly, you'll deploy your function to Google Cloud Platform.

Building and Debugging Cloud Functions for Node.js


Google Vids で魅力的な動画を作成

"このコースでは、一部の Google Workspace ユーザーが利用できるオンラインの動画制作および編集アプリ、Google Vids について学びます。レッスンとデモを通じて、職場で動画を通じて魅力的なストーリーを作成し伝える方法を学びます。また、メディア、音声、動画クリップをシームレスに取り込む、スタイルをカスタマイズする、作成した動画を簡単に共有するといった方法も学べます。

Google Vids の一部の機能では、作業効率を高めるために生成 AI を使用しています。Gemini を含む生成 AI ツールは不正確または不適切な情報を示す場合があるため、Gemini 機能を医療、法律、金融、またはその他の専門的な助言として利用しないでください。また、Gemini 機能による提案は Google の見解を述べるものではなく、Google に帰属するものでもないことにもご留意ください。"


Ce cours constitue un guide complet pour déployer, gérer et optimiser des charges de travail d'IA et de calcul hautes performances (HPC) sur Google Cloud. À travers une série de leçons et de démonstrations pratiques, vous explorerez diverses stratégies de déploiement, allant d'environnements hautement personnalisables utilisant Google Compute Engine (GCE) à des solutions gérées comme Google Kubernetes Engine (GKE). Plus précisément, vous apprendrez à créer des clusters et à déployer GKE pour l'inférence.

Infrastructure d'IA : types de déploiements


This is a self-paced lab that takes place in the Google Cloud console. In this lab you use Cloud Functions and Pub/Sub to create an end-to-end document processing pipeline using Document AI. The Document AI API is a document understanding solution that takes unstructured data, such as documents and emails, and makes the data easier to understand, analyze, and consume.

In this lab, you will create a document processing pipeline that will automatically process documents that are uploaded to Cloud Storage. The pipeline consists of a primary Cloud Function that processes new files that are uploaded to Cloud Storage using a Document AI form processor and then saves form data detected in those files to BigQuery. If the form data includes any address fields the address data is then written to a Pub/Sub topic that in turn triggers a second Cloud Function that uses to Geocoding API to provide geographic coordinate data for the address that is also written to BigQuery.

This is a simple pipeline that uses a general form processor that will detect basic form data, such as a labelled field containing address information. Document AI processors that use one of the specialized parsers that are beyond the scope of this lab provide enhanced entity information for specific document types even when those documents do not include labelled fields. For example, a Document AI Invoice parser can provide detailed address and supplier information, from an unlabelled invoice document because it understands the layout of invoices.

Build an End-to-End Data Capture Pipeline using Document AI


このコースでは、データを AI 活用へつなげるためのワークフローに役立つ AI 搭載の機能スイート、Gemini in BigQuery について説明します。この機能スイートには、データの探索と準備、コード生成とトラブルシューティング、ワークフローの検出と可視化などが含まれます。このコースでは、概念の説明、実際のユースケース、ハンズオンラボを通じて、データ実務者が生産性を高め、開発パイプラインを迅速化できるよう支援します。

Boost Productivity with Gemini in BigQuery - 日本語版


This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Cloud Operations Tracing and Profiler tools to diagnose and correct application latencies.

Optimizing Applications Using Cloud Profiler


This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.

Using OpenTSDB to Monitor Time-Series Data on Cloud Platform


Le cours "Google Cloud Fundamentals: Core Infrastructure" présente les concepts et les termes à connaître pour utiliser Google Cloud. À travers des vidéos et des ateliers pratiques, il décrit et compare la plupart des services Google Cloud de calcul et de stockage, ainsi que des outils importants de gestion des ressources et des règles.

Une semaine de formation, six à dix heures par semaine

Google Cloud Fundamentals: Core Infrastructure en Français


Com o Agentspace, você aproveita o melhor do Google em pesquisa e IA. Ele é uma ferramenta empresarial que ajuda as pessoas a encontrar informações específicas em documentos armazenados, e-mails, chats, sistemas de emissão de tickets e outras fontes de dados, tudo em apenas uma barra de pesquisa. O assistente do Agentspace também ajuda a criar ideias, fazer pesquisas, estruturar documentos e realizar ações como convidar colegas para um evento da agenda, agilizando os trabalhos intelectuais e todos os tipos de colaboração.

Acelere o intercâmbio de conhecimento com o Gemini Enterprise


Este curso é uma preparação para o exame da certificação Professional Cloud Security Engineer (PCSE). Os estudantes terão contato com os tópicos do exame e vão praticá-los em uma série de aulas, perguntas de diagnóstico e testes de conhecimento. Após a conclusão do curso, os alunos terão um material de apoio personalizado para ajudar no restante da jornada de preparação para a certificação.

Preparação para sua jornada até a certificação Professional Cloud Security Engineer


Many traditional enterprises use legacy systems and apps that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems and investing in new products and services. This course explores these challenges and offers solutions to overcome them by using cloud technology.

As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

Modernize Infrastructure and Applications with Google Cloud


在本课程中，您将了解 Google Cloud 数据工程、数据工程师的角色和职责，以及相关的 Google Cloud 产品和服务。您还将了解如何应对数据工程挑战。

Introduction to Data Engineering on Google Cloud - 简体中文


エンタープライズ データベースを使用した AI エージェントの構築

データベース向け MCP ツールボックスを使用して、エンタープライズ データベースを活用できる AI エージェントを構築します。安全なデータベース操作ツールを定義し、インテリジェントなクエリ機能を実装します（ベクトル エンベディング、構造化クエリを活用）。


This is a self-paced lab that takes place in the Google Cloud console.

Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.

Distributed Load Testing Using Kubernetes


Optimieren Sie die Navigationsumgebung Ihrer Website mit generativer KI, um die Suchfunktion für die Nutzer zu verbessern. In diesem Kurs lernen Sie, wie Sie mit Vertex AI Search Ihren Nutzern eine auf generativer KI basierende Suchfunktion bieten können, mit der sich Inhalte auf der Website einfacher finden lassen. Als Website-Editor lernen Sie außerdem, wie Sie mit generativer KI schnell und effizient anhand von Vorschlägen Inhalte übersetzen und verbessern können.

Websitemodernisierung mit generativer KI in Google Cloud


Agents d'IA générative : transformer l'entreprise est le cinquième et dernier cours du parcours de formation "Leader en IA générative". Il aborde la façon dont les entreprises peuvent utiliser des agents d'IA générative personnalisés pour relever des défis métier spécifiques. Des exercices pratiques vous apprendront à créer un agent d'IA générative de base tout en découvrant les composants de ces agents, comme les modèles, les boucles de raisonnement et les outils.


?מהי טכנולוגיית ענן ומהו מדע הנתונים? וחשוב יותר, איך הם יכולים לעזור לכם, לצוות שלכם ולעסק שלכם

.קורס המבוא הזה בנושא טרנספורמציה דיגיטלית מתאים למי שרוצה ללמוד על טכנולוגיית הענן כדי להתמקצע ולהצטיין בעבודתו וכדי לעזור בפיתוח העתיד של העסק
.בקורס יוגדרו מונחי יסוד כגון הענן, נתונים וטרנספורמציה דיגיטלית. בנוסף, נבחן דוגמאות של חברות מרחבי העולם המשתמשות בטכנולוגיית הענן כדי לבצע טרנספורמציה בעסק. הקורס כולל סקירה של סוגי ההזדמנויות שיש לחברות ושל האתגרים הנפוצים שחברות מתמודדות איתם במהלך טרנספורמציה דיגיטלית
.הקורס גם מדגים איך עמודי התווך של פתרונות גוגל קלאוד יכולים לעזור בתהליך
חשוב לומר: טרנספורמציה דיגיטלית לא קשורה רק לשימוש בטכנולוגיות חדשות. כדי הטרנספורמציה תהיה מלאה, ארגונים צריכים גם ליישם חדשנות ולפתח דפוס חשיבה שמקדם חדשנות בכל התחומים והצוותים. השיטות המומלצות המתוארות בקורס יעזרו לכם להשיג את המטרה הזו.

Digital Transformation with Google Cloud - בעברית


Google Chat - Español

En este curso, te presentamos Google Chat, el software de chat de Google que se incluye en Google Workspace.

Aprenderás a enviar mensajes a usuarios individuales y grupos en Google Chat. Además, descubrirás opciones de personalización, funciones de colaboración y cómo Google Chat se integra en otros productos de Google Workspace.

Exploraremos el uso de Espacios en Google Chat, y te enseñaremos cómo crearlos, administrarlos, buscarlos y unirte a ellos. También comprenderás las diferencias entre utilizar un espacio y un chat en grupo.

Explorarás las apps de Google Chat y aprenderás a buscar apps y usarlas en la plataforma.

Además de los videos del curso, completarás actividades prácticas para aplicar lo que aprendiste. Considera invitar a un colega o dos para que interactúen contigo en Google Chat a medida que completas las actividades.


Dataflow: Qwik Start - Templates

This is a self-paced lab that takes place in the Google Cloud console. This page shows you how to create a streaming pipeline using a Google-Provided Cloud Dataflow template.


이 과정에서는 Google Cloud의 생성형 AI 기반 파트너인 Gemini가 고객 데이터를 분석하고 제품 판매를 예측하는 데 어떤 도움이 되는지 알아봅니다. BigQuery에서 고객 데이터를 사용해 신규 고객을 식별, 분류, 개발하는 방법도 다룹니다. 실무형 실습을 통해 Gemini로 데이터 분석 및 머신러닝 워크플로가 얼마나 개선되는지 경험할 수 있습니다.

Duet AI의 이름이 Google의 차세대 모델인 Gemini로 변경되었습니다.

Gemini for Data Scientists and Analysts - 한국어


Choosing your AWS identity service

***This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact [AWS Training and Certification Customer Support](https://support.aws.amazon.com/#/contacts/aws-training).*** In this course you will learn how to choose an AWS identity or access management service, what each service does, and which services are applicable to your current needs.


Using the document database service Amazon DocumentDB (with MongoDB compatibility), you can store and scale JavaScript Object Notation (JSON) workloads. You don't need to worry about running cluster management software, configuring backups, or monitoring production workloads. You can also migrate self-managed MongoDB-compatible databases to Amazon DocumentDB because it is fully managed.

In this course, you will learn about the benefits and technical concepts of Amazon DocumentDB. If you are new to the service, you will learn how to start using Amazon DocumentDB through a demonstration of the AWS Management Console and AWS Command Line Interface (AWS CLI). You will learn about the native architecture and how the built-in features help scale and manage your document database workload. The course covers how Amazon DocumentDB fits into a larger cloud-based architecture and typical use cases that are a good fit when building solutions.

Getting Started with Amazon DocumentDB (with MongoDB compatibility)


Data Engineering on AWS - Foundations

In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), serverless applications, cost optimization, and authentication. You will also learn what networking concepts should be taken into consideration for data engineers.

The course is divided into different modules. With the learning modules, you will learn new concepts and get introduced to AWS services to build your solution.

In this course you will learn to:

- Describe the data engineering role and personas they work with.
- Identify how to perform data discovery to help define requirements and review considerations.
- Identify common data architectures and appropriate AWS services.
- Recognize how to orchestrate and automate data pipelines using AWS services.
- Identify AWS security and monitoring services.
- Identify common CI/CD tools used by data engineers on AWS.
- Identify IaC tools used by data engineers on AWS.
- Describe AWS Serverless Application Model (AWS SAM).
- Identify AWS cost optimization tools.
- Identify different AWS security mechanisms.


In this course, we focus on the DevOps practices of building, deploying, and managing applications enhanced with generative AI features. You’ll learn how to implement Continuous Integration and Continuous Deployment (CI/CD) pipelines, explore strategies for reliable automation, and improve monitoring and observability for your applications. The course emphasizes practical skills to streamline releases, reduce potential errors, and maintain high-quality, scalable systems in dynamic cloud environments.

With dedicated modules for Automatic deployments, Infrastructure as Code, Monitoring, and Operations, you’ll improve your understanding and ability to execute as a Developer or DevOps Engineer. Get comfortable with AWS services by learning how to use Amazon CodeDeploy in a CI/CD pipeline and using the AWS Cloud Development Kit. You’ll then use AWS Services to help with observability and monitoring (Amazon CloudWatch Anomaly detection and AWS X-Ray insights) - both services with AI features to help with more effective monitoring and alarms. By the end of this course, you’ll have built a robust application that supports continuous releases, improves time to market for new features and fixes, and reduce potential for human error.

DevOps and AI on AWS: CI/CD for Generative AI Applications

Russell Sayers
Rafael Lopes
Morgan Willis


In this course, you’ll model, transform, and serve data for both analytics and machine learning use cases. You’ll explore various data modeling techniques for batch analytics, including normalization, star schema, data vault, and one big table, and you’ll use dbt to transform a dataset based on a star schema and one big table. You’ll also compare the Inmon vs Kimball data modeling approaches for data warehouses. You’ll model and transform a tabular dataset for machine learning purposes. You’ll also model and transform unstructured image and textual data. You’ll explore distributed processing frameworks such as Hadoop MapReduce and Spark, and perform stream processing. You’ll identify different ways of serving data for analytics and machine learning, including using views and materialized views, and you’ll describe how a semantic layer built on top of your data model can support the business. In the last week of this course, you’ll complete a capstone project where you’ll build an end-to-end data pipeline that encompasses all of the stages of the data engineering lifecycle to serve data that provides business value.

This is a 4-week course with an estimate of 4-6 hours of learning activities per week

Data Modeling, Transformation, and Serving


Explore the intersection of DevOps and Generative AI on AWS in this hands-on course. Learn to enhance existing applications with powerful AI features using Amazon Bedrock's large language models (LLMs). You'll gain practical experience in implementing customized text generation, mastering prompt engineering, and applying advanced techniques like fine-tuning and Retrieval Augmented Generation (RAG).

We focus on essential DevOps practices, guiding you through the process of coding, building, and testing an application upgraded with generative AI capabilities. You'll learn to integrate these AI features seamlessly into your software development lifecycle, ensuring smooth deployment and maintenance.

The course also sharpens crucial developer skills. We highlight how to enable effective source control management, enabling efficient collaboration and version control in your projects. Additionally, you'll master unit testing to ensure the reliability of your applications.By the end of this course, you'll be equipped to modernize applications using generative AI, implement proven DevOps practices, and leverage AWS' AI services. Whether you're a developer expanding your AI expertise or a DevOps professional incorporating AI technologies, this course provides the tools to excel in the evolving landscape of software development and artificial intelligence.

Join us to transform your applications and development practices with the power of generative AI on AWS.

DevOps and AI on AWS: Upgrading Apps with Generative AI


This course introduces you to AWS Elemental MediaConnect. You will learn how to use MediaConnect to ingest live video into the AWS Cloud, and then distribute it to multiple destinations inside or outside of the AWS Cloud.

Introduction to AWS Elemental MediaConnect - v.02.00.01


This course gives you a thorough introduction to the python programming language. You'll start by learning the definition of python, its history, semantics, and how it works. The first week concludes by writing a python script to solve a problem. In Week 2, you'll learn about Serverless Architectures and understand the differences between microservices, service-oriented and monolith architectures. You'll build a microservices architecture by learning how to use the following tools: AWS Lambda, Amazon API Gateway, and Cloud9. It's then time to go deep with AWS Databases. You'll see Amazon RDS and Amazon DynamoDB in action, visualizing the important role they play in developing applications in python. The course's final week will cover application integration services. Amazon's Simple Notification Service (SQS), Simple Queue Service (SQS), and EventBridge take center stage as important “glue” components for scalable, cloud-based applications. You'll close the course with a hands-on project, writing some code to use some hardcoded data to write to dynamodb and then convert that into a lambda function.

Python for Serverless Applications and Automation on AWS


Porting applications from .NET Framework to .NET can be a significant manual effort. The process includes spending valuable time identifying the dependencies and APIs that are incompatible with .NET, and estimating the level of effort involved to remediate. Porting Assistant for .NET is an analysis tool that helps you port your applications to Linux faster. Additionally, porting .NET Framework applications to .NET lets you take advantage of the performance, cost savings, and robust ecosystem of Linux.

Porting Assistant for .NET quickly scans .NET Framework applications to identify incompatibilities with .NET, finds known replacements, and generates a detailed compatibility assessment. This reduces the manual effort involved in modernizing your applications to Linux.

As you progress through this course, you will relate the concepts that you are learning about to a real-world scenario use case. For illustration purposes, we will refer to the company in this use case as AnyCompany.

Microsoft on AWS - Porting Assistant for .NET


Let’s get you working efficiently in a software development team and shorten the time it takes to get high quality applications to your customers. We start with the theory and benefits of building software with Continuous Integration and Continuous Delivery. Continuous Integration starts with source control. We get you working with AWS CodeCommit, a managed source control service that makes it easier for teams to collaborate on code and with Git repository you learn branching strategies and get hands-on committing bug fixes and writing unit tests. Your commits initiate an AWS CodePipeline pipeline where we can run automated tests for fast code quality feedback. We then use AWS CodeBuild to run tests and package code for deployment. Finally, we use AWS CodeDeploy to automate code deployment. Let’s use your coding skills to automate the process of getting quality code to production infrastructure.

This course will provide a combination of video-based lectures, demonstrations and hands-on lab exercises to get you hands-on committing code that flows through a full Continuous Integration and Continuous Delivery pipeline.

Hands-on with AWS: Software Development Practices

Russell Sayers
Seph Robinson
Morgan Willis


The Building a Generative AI Ready Organization course provides components needed for a successful organizational adoption of Generative AI. This course focuses on business leaders and other decision-makers currently or potentially involved in Generative AI projects.

Building a Generative AI-Ready Organization


Responsible AI Practices

In this course, you will learn about responsible artificial intelligence (AI) practices.

In the first section of this course, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempts to overcome, and explore the core dimensions of responsible AI.

Then in the next section of the course, you will dive into some topics for developing responsible AI systems. In this section of the course, you will learn about some of the services and tools that AWS offers to help you with responsible AI. You will also learn about responsible AI considerations for selecting a model and preparing data for your AI systems.

Finally, in the last section of the course, you learn what it means for a model to be transparent and explainable. You will also learn about tradeoffs to consider between safety and transparency for an AI model and the principles of human-centered design for explainable AI.


With AWS Migration Hub Refactor Spaces, you can fast-track the application refactoring of existing applications into distributed applications, typically based on microservices.

In this course, you will learn the benefits and technical concepts of Refactor Spaces. If you are new to the service, you will learn how to start with Refactor Spaces through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you focus on refactoring your applications. This means you can focus less on creating and managing the underlying infrastructure that makes refactoring possible.

Getting Started with Migration Hub Refactor Spaces


This course's focus will be on practical aspects of preparing to work as a support agent in organizations with AWS environments. We will start with some review of previous topics covered in the series, with specific attention paid towards debugging and troubleshooting. We’ll then move into concepts around interacting with customers to obtain information and progress towards a solution.
In the next module, you'll have the opportunity to view the architecture from various perspectives, such as builder, supporter, and interviewer. We will then shift into preparing you to apply for Cloud Support Associate positions. This will involve diving into resume and portfolio building, as well as the creation of an online presence. The second module will close out with a look at how you can evaluate opportunities and any gaps you may have in your knowledge. The third module of the course will have a focus on interviewing. This will involve preparing for interviews, discussions with professions from AWS Premium Support around the interviewing and hiring process, and looking at mock interviews and sample questions. The last module of the course will allow you to practice using the knowledge and various skills you’ve acquired over the course of the series with a multi-part project. In the project, you’ll build, analyze, and document an application architecture. You’ll also can view the architecture from various perspectives, such as builder, supporter, and interviewer.

Capstone: Preparing to work as a Cloud Support Associate


Amazon EC2 Basics

Compute services are the backbone that power most web-based applications. Amazon Elastic Compute Cloud (Amazon EC2) is the foundation that many other Amazon Web Services (AWS) offerings are built upon. This course provides you with the opportunity to explore the different families of EC2 instances and identify the target workloads for each of these families. You will learn about the different instance types and how to select the best instance types to maximize price and performance.


AWS Elemental Live Foundations

This training provides an introduction to AWS Elemental Live, a video processing solution that efficiently formats live video for broadcast television and streaming to internet-connected devices.


Architecting Solutions on AWS

Are you looking to get more technical? Are you looking to begin working in the cloud, but don’t know where to go next? Are you looking to up your game by prepping for the AWS Solutions Architect Associate Exam? Do you see yourself as a cloud consultant, but can’t quite envision how your days would be? Are you puzzled how to match a customer’s requirements with the right AWS services/solutions? If so, you are in the right place!! You’ll learn how to plan, think, and act like a Solution Architect in a real-life customer scenario.

In this course, you’ll get prepared to begin your career architecting solutions on AWS. Through a series of use case scenarios and practical learning, you’ll learn to identify services and features to build resilient, secure, and highly available IT solutions in the AWS Cloud. Each week, a fictional customer will present a different need. We will then review the options, choose the best one for the use case and walk you through the architecture design on a whiteboard. You’ll learn about event-driven architectures with a focus on performance efficiency and cost. You’ll then gain knowledge on how to architect a solution using many purpose-built AWS services. With this understanding, you’ll get a sense of hybrid architectures with a refined focus on reliability and operational efficiency. Finally, you’ll wrap up your learning by understanding a multi-account strategy centered on security and cost.


Amazon QLDB Primer

This course introduces you to Amazon Quantum Ledger Database (Amazon QLDB), an AWS fully managed ledger database.

This course introduces you to the service and its core features and capabilities. You will see how this service integrates with other AWS services and be introduced to important terminology and technology concepts. The course includes a demonstration of Amazon QLDB and provides an assessment to help you gauge how well you understand the concepts covered.


Amazon DynamoDB Primer

This course introduces you to Amazon DynamoDB, the AWS service that provides a non-relational, key-value/wide-column and document database that delivers single-digit millisecond performance at any scale. It's a fully managed database with built-in security, backup and restore, and in-memory caching for internet-scale applications.

This course introduces you to the service and its core features and capabilities. You will see how this service integrates with other AWS services and be introduced to important terminology and technology concepts. The course includes a demonstration of DynamoDB and provides an assessment to help you gauge how well you understood the concepts covered.


Tout au long de ce cours, vous examinerez la proposition de valeur de l'intégration d'Amazon Web Services (AWS) et de Salesforce. Vous vous concentrerez sur la manière dont cette intégration renforce l'agilité de l'entreprise, améliore l'expérience client et favorise l'excellence opérationnelle. Chaque leçon approfondit vos connaissances progressivement. Vous allez commencer par les concepts de base avant d'explorer les applications pratiques. En comprenant ces modèles d'intégration, vous serez mieux équipée pour évaluer les avantages de ce partenariat pour votre organisation. À la fin de ce cours, vous aurez une bonne compréhension du fonctionnement de l'intégration entre Salesforce et AWS, de la valeur commerciale qu'elle apporte et des types de problèmes qu'elle permet de résoudre. Ces connaissances vous aideront à identifier les opportunités de mise en œuvre de ces technologies dans votre propre organisation.

Salesforce on AWS: Basics to Business Innovation - Français


In this course, you will learn the fundamental concepts of cloud computing and how a cloud strategy can help companies in the healthcare and life sciences (HCLS) industries meet business objectives. It explores how Amazon Web Services (AWS) brings the most advanced and secure cloud services, the deepest collaborative business solutions, and the fastest rate of innovation. With AWS, your organization can cloudify its business and create new efficiencies, differentiating and innovating at every stage of the journey.

Cloud Essentials for Business Leaders - Healthcare and Life Sciences v01.00.00


A lo largo de este curso, examinará la propuesta de valor de la integración de Amazon Web Services (AWS) y Salesforce. Se centrará en cómo esta integración permite la agilidad empresarial, mejora las experiencias del cliente e impulsa la excelencia operativa. Cada lección construye sus conocimientos progresivamente. Comenzará con conceptos básicos antes de explorar aplicaciones prácticas. Al comprender estos patrones de integración, estará mejor equipado para evaluar cómo esta asociación podría beneficiar a su organización. Al final de este curso, comprenderá claramente cómo funciona la integración de Salesforce y AWS, el valor comercial que ofrece y los tipos de problemas que resuelve. Este conocimiento le ayudará a identificar oportunidades para implementar estas tecnologías en su propia organización.

Salesforce on AWS - From Basics to Business Innovation-LATAM


Amazon EMR Getting Started

Amazon EMR is a managed cluster solution that can make it more efficient to run big data frameworks, such as Apache Hadoop and Apache Spark, on Amazon Web Services (AWS) to process and analyze vast amounts of data.

In this course, you will learn the benefits and technical concepts of Amazon EMR. If you are new to the service, you will learn how to start using Amazon EMR through a demonstration using the AWS Management Console and AWS Command Line Interface (AWS CLI). You will learn about the native architecture and how the built-in features can help you process data for analytics purposes and business intelligence workloads.


Amazon Bedrock is a fully managed service that makes foundation models (FMs) from Amazon and leading artificial intelligence (AI) startups available through an API. In this course, you will learn the benefits of Amazon Bedrock. You will learn how to start using the service through a demonstration in the Amazon Bedrock console. You will also learn about the AI concepts of Amazon Bedrock and how you can use the service to accelerate development of generative AI applications.

Amazon Bedrock - Getting Started with Generative AI


Integrating AWS with the SDK

In this course, we start with the basics of AWS Identity and Access Management to understand the different forms of authentication and security when integrating AWS services. We refactor an existing application using the AWS SDK to replace storage functionality with Amazon Simple Storage Service and Amazon DynamoDB. Next, we investigate using compute services Amazon EC2 and AWS Lambda to run our application code. In the final upgrade, we expose the application functionality as an API with Amazon API Gateway. Our experienced instructors take you on a deep dive on the workings and benefits of each service. This course will provide a combination of video-based lectures, demonstrations and hands-on lab exercises, taking you from concept to an API-based application hosted in AWS.


AWS Cloud Technical Essentials

Are you in a technical role and want to learn the fundamentals of AWS? Do you aspire to have a job or career as a cloud developer, architect, or in an operations role? If so, AWS Cloud Technical Essentials is an ideal way to start. This course was designed for those at the beginning of their cloud-learning journey - no prior knowledge of cloud computing or AWS products and services required!

Throughout the course, students will build highly available, scalable, and cost effective application step-by-step. Upon course completion, you will be able to make an informed decision about when and how to apply core AWS services for compute, storage, and database to different use cases. You’ll also learn about cloud security with a review of AWS' shared responsibility model and an introduction to AWS Identity and Access Management (IAM). And, you’ll know how AWS services can be used to monitor and optimize infrastructure in the cloud.

AWS Cloud Technical Essentials is a fundamental-level course and will build your competence, confidence, and credibility with practical cloud skills that help you innovate and advance your professional future. Enroll in AWS Cloud Technical Essentials and start learning the technical fundamentals of AWS today!

Note: This course was designed for learners with a technical background. If you are new to the cloud or come from a business background, we recommend completing AWS Cloud Practitioner Essentials (https://www.coursera.org/learn/aws-cloud-practitioner-essentials) before enrolling in this course.


This self-paced digital course explores the various databases that Amazon Web Services (AWS) offers and helps you understand how each of them solve unique business problems. It introduces you to AWS recommended best practices when designing solutions with AWS databases, and common tools for data migration. This course is designed to help you learn the fundamentals of choosing the right database to support your use case.

Introduction to Building with AWS Databases V01.01.00


AWS Elemental Statmux

This course provides an overview of statistical multiplexing workflows in cable and satellite broadcast. In this training, you will learn how to configure, operate, and monitor statmux workflows using AWS Elemental Conductor, AWS Elemental Live, and AWS Elemental Statmux appliances.


This course delves into the intersection of generative AI security and application development, with a specific focus on prompt injection and Amazon Bedrock guardrails. Designed for practical implementation, this course equips participants with the knowledge and skills needed to build safeguarded GenAI applications while protecting against common security vulnerabilities such as prompt injection attacks. Through hands-on demonstrations, technical deep-dives, tech talks, and expert insights, participants will learn how to use Amazon Bedrock guardrails and implement security measures in their GenAI applications. The course culminates with a special tech talk featuring industry experts discussing cutting-edge security practices in the GenAI landscape.

Increasing Application Security: Bedrock Guardrails & GenAI


Amazon CloudWatch Getting Started

In this course, you will learn the benefits and technical concepts of Amazon CloudWatch. If you are new to the service, you will learn how to start with CloudWatch through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you simplify monitoring resources and applications in the AWS, on premises, hybrid, or on other clouds.


Amazon Web Services (AWS) storage provides you with the services you need to build the storage solution that’s right for your organization. Hybrid storage services span location both on premises and in the cloud. You will discover the depth and breadth of hybrid storage service options available for you to choose from to meet your organization’s requirements.

The AWS hybrid storage services include Amazon Simple Storage Service (Amazon S3) and Amazon Elastic Block Store (Amazon EBS) on AWS Outposts. They also include AWS Storage Gateway and Amazon File Cache storage offerings. You can select from these different service offerings and apply them to your organization’s needs. You can then determine the possible paths to take to arrive at the best storage solution. Before choosing an AWS storage solution, AWS recommends that you first assess what storage characteristics are appropriate for your applications and business.

After familiarizing yourself with AWS storage, you can then compare your requirements to the available storage services and select the solution that meets your needs. This course introduces customers to the benefits, features, use cases, and considerations for AWS hybrid storage services. By the end of the course, learners will be able to discuss the features and use cases for the available AWS hybrid storage services.

AWS Hybrid Storage Services Getting Started


Getting Started with Amazon ECR

With Amazon Elastic Container Registry (Amazon ECR), you can store, share, and deploy your container software anywhere. Amazon ECR is a fully managed container registry offering high-performance hosting that helps you reliably deploy application images and artifacts anywhere.

In this course, you will learn the benefits and technical concepts of Amazon ECR. If you are new to the service, you will learn how to start with Amazon ECR through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can streamline managing, storing, and deploying container images in the Amazon ECR registry.


AWS X-Ray Getting Started

With AWS X-Ray, you can gain insights into the data requests that your application serves to identify issues and opportunities for optimization. X-Ray provides tools that you can use to view, filter, and analyze the collected data.

In this course, you will learn the benefits and technical concepts of X-Ray. If you are new to the service, you will learn how to start using X-Ray through a demonstration using the AWS Management Console. You will learn about the X-Ray architecture and instrumentation options. Interactive demonstrations show you how the built-in features can help you gain a complete view of application requests as they travel through your application.


With Amazon Connect Contact Lens, organizations analyze customer conversations, evaluate agent performance, and continuously improve customer experience.

In this course, you will recognize the benefits, typical use cases, and core concepts of Contact Lens. You will explore implementation scenarios and identify the key considerations to uncover trends, sentiment, and conversation characteristics from contact interactions. You will learn how post-contact summaries are used to replace manual notetaking so supervisors can review interactions efficiently.

Amazon Connect Contact Lens Fundamentals


AWS Migration Evaluator Getting Started

Migration Evaluator algorithmically determines the best-fit and lowest-cost placement for each workload. This results in the delivery of optimized, cost-modelling scenarios for your workloads on AWS.

In this course, you will learn the benefits and technical concepts of Migration Evaluator. If you are new to the service, you will learn how to start using Migration Evaluator through a demonstration using the AWS Management Console. Additionally, you will learn about the architecture and how the built-in features can help simplify on-premises analysis of compute, local storage, and memory.


This new intermediate-level course from Amazon Web Services (AWS) is designed to help you to assess your preparedness for the AWS Certified Solutions Architect - Associate exam. You will learn how to prepare for the exam by exploring the exam’s topic areas and how they map to architecting on AWS. You will review sample certification questions in each domain, practice skills with hands-on exercises, test your knowledge with practice question sets, and learn strategies for identifying incorrect responses by interpreting the concepts that are being tested in the exam. At the end of this course you will have all the knowledge and tools to help you identity your strengths and weaknesses in each certification domain areas that are being tested on the certification exam.

The AWS Certified Solutions Architect – Associate exam is intended for individuals who perform in a solutions architect role. The exam validates a candidate’s ability to design secure and robust solutions by using AWS technologies. The exam also validates a candidate’s ability to complete the following tasks: Design a solution by using appropriate AWS services and by following architectural principles based on requirements. Provide implementation guidance based on best practices to the organization throughout the workload lifecycle.

This course covers material specific to the SAA-C03 version of the AWS Certified Solutions Architect - Associate exam.

In the new version of the exam, many of the domains and task statements were reordered or renumbered; however, most of the content is the same.

Only one task statement for the new version of the exam is NOT included in this course:
Domain 3: Design High-Performing Architectures, Task Statement 5: Determine high-performing data ingestion and transformation solutions.

At the end of the course materials, you will find a new section (“SAA-C03 Updates”) that contains additional information about differences between the exam versions:
SAA-C02 versus SAA-C03
SAA-C03 New Material

Exam Prep: AWS Certified Solutions Architect - Associate


AWS IoT Core provides secure, bidirectional communication between internet-connected devices, such as sensors, actuators, embedded microcontrollers, or smart appliances and the AWS Cloud.

In this course, you will learn how to securely connect a device to the cloud using AWS IoT Core and ensure that an AWS IoT policy is properly set up to allow the sensor to publish messages on a specified topic.

As you progress through this course, you relate the concepts that you are learning about to a real-world use case of a food services company trucking ice cream products to stores.

This course assumes you have completed the course Getting Started with AWS IoT or have equivalent knowledge of the AWS Internet of Things (IoT) concepts covered.

Securely Connecting AWS IoT Devices to the Cloud V01.00.00


AWS Organizations Getting Started

With AWS Organizations, you can consolidate and centrally manage AWS accounts into an organization.

In this course, you will learn the benefits and technical concepts of Organizations. If you are new to the service, you will learn how to start with Organizations through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you manage multiple accounts under a single organization.


Technology is omnipresent, but how did we get here? And what does the future hold for a world that's increasingly connected, mobile and data-rich? This course is intended to give learners enough technical context to understand how to build solutions in the cloud starting from zero technical knowledge. Before diving into the cloud, we will cover the basics of: how do computers work (including software and operating systems), an introduction to information technology, the basics of modern IT infrastructure, and the cloud careers that will be increasingly in-demand. We will then move into the world of internet connected networks (the Internet), covering local hosts, web servers, web applications, web security, the inner workings of a website and the differences between static and dynamic content. We'll close the course by introducing Cloud Computing, its role in our world, the differences between public, private and hybrid, and why APIs are so important.

Introduction to Information Technology and AWS Cloud


Migrating SAP Workloads to AWS

In this course, you review how a fictitious company migrated their SAP workloads to the AWS Cloud to improve performance, reduce costs, and facilitate digital transformation. Throughout the course, you learn about the SAP to Amazon Web Services (AWS) migration process, relevant AWS services, and available migration tools.


Cloud unit economics helps you measure the success of your business using key performance indicators (KPIs). This course is part of the Amazon Web Services (AWS) Financial Operations (FinOps) series. You will learn about cloud business KPIs and why they are important for your organization. Then, you will learn how to calculate unit metrics for your business using the cloud unit economics, or Q Tool.

AWS FinOps - Creating Cloud Business KPIs (Unit Economics)


With Amazon EKS Anywhere, you can create and operate on-premises Kubernetes clusters with support from AWS.

In this course, you will learn the benefits and technical concepts of Amazon EKS Anywhere. If you are new to the service, you will learn how to start using Amazon EKS Anywhere through a demonstration using the AWS Command Line Interface (AWS CLI). You will learn about the native architecture and how the built-in features can help you simplify on-premises Kubernetes management.

Getting Started with Amazon EKS Anywhere


Amazon Transcribe Getting Started

With Amazon Transcribe, you can produce transcriptions of recorded or live audio sources, including video.

In this course, you will learn the benefits and technical concepts of Amazon Transcribe. If you are new to the service, you will learn how to start with Amazon Transcribe through demonstrations using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you with transcribing a variety of audio sources.


Migrating VMware Workloads to AWS

This course is designed to help IT business and technical professionals understand effective strategies for migrating from VMware to the Amazon Web Services (AWS) cloud. Whether you are managing workloads, network, infrastructure, designing a cloud architecture, or just trying to get awareness on migration strategies, this course will guide you through the entire migration process, from initial assessment to post-migration optimization.


In this course, you will learn how to improve the quality of your code and strengthen your current DevOps practices by using Amazon CodeGuru Reviewer. You will also learn how to integrate CodeGuru Reviewer into development workflows to enhance code reviews with automated feedback. Finally, you will learn how to associate existing code repositories on GitHub and AWS CodeCommit with Amazon CodeGuru.

Improve Code Quality with Amazon CodeGuru Reviewer


Getting Started with Amazon Neptune

Amazon Neptune is a fully managed service you can use to operate graph databases without worrying about hardware provisioning, software patching, setup, configuration, or backups.

In this course, you will learn the benefits and technical concepts of Neptune. If you are new to the service, you will learn how to start using Neptune through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you simplify any application that uses connections among data.


AWS AI Practitioner Power Hour

This course offers a streamlined introduction to artificial intelligence on AWS, guiding learners from core concepts to real-world applications, while also helping learners understand the core concepts of generative AI and prepare for the AWS Certified AI Practitioner exam. In this course, learners will explore generative AI and foundation models, including how they work, common use cases, and how Amazon Bedrock enables scalable AI solutions.

The course also highlights practical ways to apply foundation models for tasks like text generation, search, summarization, and vision, along with tools that simplify deployment and customization. To complete the learning journey, participants review essential principles for building secure and responsible AI systems, including fairness, privacy, governance, and compliance, supported by AWS best practices and frameworks.

By the end, learners will understand AI fundamentals, how to use generative AI on AWS, and how to build safe, effective AI applications


Amazon Connect is a cloud contact center that helps you offer superior customer service. Because it is designed from the ground up to be omnichannel, Amazon Connect provides a seamless experience across voice, chat, and tasks for your customers and contact center agents. Amazon Connect includes tools for skills-based routing, powerful real-time and historical analytics, and intuitive management tools. With pay-as-you-go pricing, Amazon Connect can lower costs while improving contact center operations and agent efficiency.

This course guides you through how to set up an Amazon Connect contact center that can scale to support millions of customers.

Amazon Connect: Creating & Managing Amazon Connect Instances


e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.Step up your generative AI skills with this course focused on building generative AI applications using Amazon Bedrock. Building on the fundamentals, you'll dive deep into advanced features and services that enable more complex solutions.

The course begins with a deep dive of Amazon Bedrock Knowledge Bases, teaching you how to enhance AI responses using Retrieval-Augmented Generation (RAG). You'll learn to create and manage knowledge bases, integrating them into your applications to provide context-aware, domain-specific AI interactions.

Next, you'll learn Amazon Bedrock Prompt Management and Flows, enabling you to design intricate workflows that chain multiple AI operations. This section empowers you to create more sophisticated generative AI behaviors in your applications.The latter part of the course focuses on generative AI-driven agents for task automation. You'll learn to configure and deploy Bedrock Agents, integrating them with various AWS services to create smart, autonomous systems. You'll also explore the Converse API, enabling more natural, context-aware conversations in your AI applications.

Throughout the course, hands-on labs and real-world scenarios will help you apply these concepts. By the course's end, you'll be designing and implementing advanced generative AI applications with Amazon Bedrock.

Please note: The hands-on exercises are optional and require access to your own AWS account. Completing these activities may result in minimal usage charges.

Generative AI Applications with Amazon Bedrock


The Building a Machine Learning Ready Organization course provides components needed for a successful organizational adoption of machine learning (ML). This course focuses on business leaders and other decision-makers currently or potentially involved in ML projects.


Gamification

Gamification is the application of game elements and digital game design techniques to non-game problems, such as business and social impact challenges. This course will teach you the mechanisms of gamification, why it has such tremendous potential, and how to use it effectively. For additional information on the concepts described in the course, you can purchase Professor Werbach's book For the Win: How Game Thinking Can Revolutionize Your Business in print or ebook format in several languages.


The vital signs – heart rate, blood pressure, body temperature, respiration rate, and pain – communicate important information about the physiological status of the human body. In this six-part course we explore the anatomy and physiology underlying the vital signs so that you will develop a systematic, integrated understanding of how the body functions. Relevant body systems are reviewed including cardiovascular and respiratory, followed by explanations of how the function of these systems affects vital signs. We discuss normal ranges, normal variants, and the mechanisms that underlie changes in the objective measurement of vital signs. The course also includes demonstrations of appropriate techniques for measuring vital signs in yourself and others.

The course is designed for a broad, general audience but will be particularly interesting for individuals working in healthcare, those considering a career as a healthcare professional, lay caregivers, those with an interest in personal health and fitness, or anyone who simply wants to understand how the body functions.

Vital Signs: Understanding What the Body Is Telling Us


Accounting Analytics

Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance.  In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more. By the end of this course, you’ll understand how financial data and non-financial data interact to forecast events, optimize operations, and determine strategy. This course has been designed to help you make better business decisions about the emerging roles of accounting analytics, so that you can apply what you’ve learned to make your own business decisions and create strategy using financial data.


You are encouraged to take the first four courses of the Foundations of Positive Psychology Specialization before starting this course and completing the Specialization Project. This course, taught by Dr. Martin E.P. Seligman brings all the key concepts from the first four courses to practice as you develop and test a new positive intervention for an audience of your choice. You identify opportunities in your daily life to increase the wellbeing by using knowledge you developed in the first four courses of the Specialization. In this final project, you evaluate the efficacy of a positive intervention based on subjective and objective measures. Then, you compare how empirical and non-empirically-based positive interventions can be applied to influence a person's wellbeing. Lastly, you reflect on how the fundamental elements of research methods are important in the everyday application of positive psychology.

After completing all five courses, learners earn a certificate signed by Dr. Martin E.P. Seligman, Dr. James Pawelski, Dr. Angela Duckworth, Dr. Claire Robertson-Kraft and Dr. Karen Reivich.

Positive Psychology Specialization Project: Design Your Life for Well-being


Copyright Law

Copyright law is unique in the greater intellectual property regime, as it protects original expression that is fixed in a tangible medium and is the product of authorship.  This course is designed for creative professionals — such as screenwriters, musicians, documentary filmmakers or artists — who want to understand the scope and limits of which works can enjoy U.S. copyright protection. The course will introduce students to the workings of copyright law through an examination of the system’s basic principles, rules, and institutions. Topics will include; the justifications for copyright law, copyrightable subject matter, authorship, the nature and scope of copyright’s exclusive rights, fair use, and remedies for infringement.

We will also explore real-world examples of legal battles surrounding copyright law, from the recent litigation over Robin Thicke’s hit song “Blurred Lines” to more peculiar cases such as the infamous “monkey selfie” case. By understanding what copyright does and does not protect, producers of creative expression will be able to protect and maximize the commercial value of their works.


El Proyecto Final de Conocimiento Aplicado de Wharton te permite aplicar tus habilidades analíticas a retos de negocios reales, incluyendo el tuyo. Usarás esas habilidades empresariales recientemente adquiridas, para evaluar de manera reflexiva una oportunidad o situación real de compañías dirigidas por Wharton como Televisa.También podrás preparar un análisis estratégico y plantear una solución a un reto al que se enfrente tu propia compañía u organización. Personal cualificado de Wharton evaluará los mejores trabajos, y equipos de dirección de Televisa revisarán los proyectos que obtengan mejor puntuación.

Proyecto de Fundamentos Empresariales de Wharton


Nuts and Bolts of U.S. Immigration Law

This course begins by exploring short term entry and long term entry into the United States. We will cover the various means of short term entry and long term entry, as well as the general application processes. We will also examine exclusion and deportation in the United States. In particular, we will discuss how and why individuals may not be admitted into the United States and possible reasons for deportation or removal. Lastly, we will cover the process of how to become a United States citizen and the various requirements for naturalization.


Learners discover how apply to research methods to their study of Positive Psychology. In this course, we study with Dr. Angela Duckworth and Dr. Claire Robertson-Kraft. Through an exploration their work "True Grit" and interviews with researchers and practitioners, you develop a research hypothesis and learn how to understand the difference between internal and external validity. You also begin to understand and apply the strengths and weaknesses associated with different types of measurements and evaluation designs. You then interpret the results in an empirical study. Suggested prerequisites: Positive Psychology: Martin E. P. Seligman’s Visionary Science and Positive Psychology: Applications and Interventions.

Positive Psychology: Character, Grit and Research Methods

Claire Robertson-Kraft, Ph.D.
Angela Duckworth, Ph.D.


Retail Marketing Strategy

Covid-19 has accelerated radical changes that will revolutionize retailing in every way. Shoppers' expectations are being ratcheted up, making winning (and keeping) those consumers all the more challenging. In this course, Professor Barbara Kahn will explain what it means to switch from a product-focused approach to a customer-focused approach and create marketing strategy to deliver real customer value. Learning from companies that have been most successful during this wave of change, this course will offer insights as to what we can learn from their ascendance. Building on these insights, Professor Kahn will present the "Kahn Retailing Success Matrix" which provides a framework that any company can use to create a competitive strategy to survive and thrive in today's – and tomorrow's – disruptive environment. By the end of this course, you will be able to identify the changing expectations with regard to creating superior customer experiences and valued-based branding.


Building High-Performing Teams

Teams are essential to the modern organization, but most never reach their potential. Co-workers miscommunicate, and groups struggle to adapt to changes in the market or their organizations. When teams lack self-awareness about these challenges, performance suffers. Based on years of team culture research and consulting experience, this course helps you understand the problems that hurt productivity, and gives you tools for creating positive change. This course also guides you through creating the ground rules and structure needed to set your team up for success.

You gain the skills to diagnose issues such as conflicts, groupthink and lack of commitment in your team before they get out of control. The course offers frameworks to adjust team behaviors and get the best performance out of your people. You also understand frequent stumbling blocks for common team types, such as startups and virtual teams, and learn solutions tailored to each one.


Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.

In this fourth part--part four of five--we cover computing areas and volumes, other geometric applications, physical applications, and averages and mass.  We also introduce probability.

Calculus: Single Variable Part 4 - Applications


Data visualization is a crucial aspect of data analysis and decision-making in today's data-driven world. In this course, you will delve into the fascinating realm of data visualization and harness the power of Tableau, a leading data visualization tool. You'll learn how to transform raw data into insightful visuals that convey complex information effectively. This course will empower you to create compelling visualizations that aid in decision-making, storytelling, and conveying insights to both technical and non-technical stakeholders. Data analysis is only as impactful as your ability to communicate the findings to others. This course will equip you with the skills and techniques necessary to craft compelling data stories and deliver persuasive presentations that resonate with diverse audiences.

Data Viz Using Tableau & Presenting With Storytelling


Colossal pyramids, imposing temples, golden treasures, enigmatic hieroglyphs, powerful pharaohs, strange gods, and mysterious mummies are features of Ancient Egyptian culture that have fascinated people over the millennia.  The Bible refers to its gods, rulers, and pyramids. Neighboring cultures in the ancient Near East and Mediterranean wrote about its god-like kings and its seemingly endless supply of gold.  The Greeks and Romans describe aspects of Egypt's culture and history.

As the 19th century began, the Napoleonic campaign in Egypt highlighted the wonders of this ancient land, and public interest soared.  Not long after, Champollion deciphered Egypt's hieroglyphs and paved the way for other scholars to reveal that Egyptian texts dealt with medicine, dentistry, veterinary practices, mathematics, literature, and accounting, and many other topics. Then, early in the 20th century, Howard Carter discovered the tomb of Tutankhamun and its fabulous contents. Exhibitions of this treasure a few decades later resulted in the world's first blockbuster, and its revival in the 21st century has kept interest alive.

Join Dr. David Silverman, Professor of Egyptology at Penn, Curator in Charge of the Egyptian Section of the Penn Museum, and curator of the Tutankhamun exhibitions  on a guided tour of the mysteries and wonders of this ancient land.  He has developed this online course and set it in the galleries of the world famous Penn Museum.  He uses many original Egyptian artifacts to illustrate his lectures as he guides students as they make their own discovery of this fascinating culture.

Introduction to Ancient Egypt and Its Civilization


Removing Barriers to Change

What does it mean to truly change something? How does one persuade others to change? How do we reduce roadblocks to change? In this course, you’ll learn about the barriers to change and how to become more effective in inspiring change within others and your organization. Professor Jonah Berger of the Wharton School has designed this course to help you understand the REDUCE framework, and shows you how to develop your skills of persuasion and influence. By the end of this course, you’ll know both the strengths and weaknesses of certain strategies for removing barriers in change, plus you'll learn how to leverage those strategies to achieve change in both business and in life.


Success

Do you want to be more successful? This course was designed to help you define what success means to you, and to develop a plan for achieving it. Wharton Professor G. Richard Shell, an award-winning author and the creator of the popular Wharton School course on the meaning of success, created this course to help you answer the questions that arise when you consider how best to use your life. Drawing on his decades of research and mentoring, Shell offers personalized assessments to help you probe your past, imagine your future, and measure your strengths. He then combines these with the latest scientific insights on everything from self-confidence and happiness to relationships and careers. Throughout, he shares inspiring examples of people who found what they were meant to do by embracing their own true measure of success. Get ready for the journey of a lifetime—one that will help you reevaluate your future and envision success on your own terms. Students and executives say that Richard Shell’s courses and executive training programs have changed their lives. Let this course change yours.


Introduction to Intellectual Property

Intellectual property is the currency of the tech world, with the world’s most valuable intellectual property assets dwarfing the value of their real-world counterparts. Apple’ trademarked brand was valued at over $100 billion as of 2017. J.K. Rowling’s Harry potter franchise has generated over $25 billion to date. But how did the law come to create such enormous value in intangible assets?

This course will introduce the various types of U.S. intellectual property: patents, which cover inventions and process innovations; copyright, which protects original works of authorship; and trademarks, which protect a business’ commercial identity as the source of valuable goods and services. You will then explore case studies of how global businesses have used intellectual property law to generate enormous value from these intangible assets.


Applying to College 101

Applying to College 101 empowers learners of all backgrounds to demystify and better understand the college search and selection process, combining the expertise of an Ivy League admissions office and a leading college access and success organization. Led by expert educators, including Whitney Soule, Dean of Admissions at the University of Pennsylvania, and Dr. Sean Vereen and Sara Woods, Co-presidents of Heights Philadelphia, this free course will help students, family members, college counselors, and any curious learner to navigate each stage from the start of the college search process through preparing your applications to colleges.

This free course includes a variety of videos, readings, and activities—all designed to encourage self-reflection, information sharing, and moments of connection.

In this course, you’ll learn about:

1. The organizational skills you’ll need to be successful in this process

2. Important financial aid resources and how to make college affordable

3. How to better understand your story and how it connects to what interests you and what colleges look for

4. How to find your right college fit

5. The steps and materials needed to complete your college application

This course is designed for students who are planning to apply to college soon (11th graders and 12th graders), but the activities and videos can still be useful for students who are earlier in their college search journey as they plan for the future. Regardless of where you are in your understanding of the college search process—from those who are the first in their family to pursue a bachelor’s degree and who may be trying to figure out where to even begin—to those who are well on their way to preparing an application—this course provides a road map to helping you move through this journey in your own way and on your own time.

This course is open to the public, asynchronous, and self-directed without a facilitator. Please note although this course is designed by the University of Pennsylvania (Penn), this is not a course about applying to Penn.

The course is also intended for students who may not have access to college counseling – if you attend a school that offers college counseling, your counselor is the best source of information on applying to college.

This course is for students who are applying to college for the first time, intending to pursue undergraduate degrees at a four-year institution in the U.S.

If you are an international student attending a school outside the U.S. interested in learning more about navigating the U.S. university system and application process, we recommend enrolling in this course: Applying to US Universities.


Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.

In this first part--part one of five--you will extend your understanding of Taylor series, review limits, learn the *why* behind l'Hopital's rule, and, most importantly, learn a new language for describing growth and decay of functions: the BIG O.

Calculus: Single Variable Part 1 - Functions


We have all heard the phrase “correlation does not equal causation.”  What, then, does equal causation?  This course aims to answer that question and more!

Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods.  Learners will have the opportunity to apply these methods to example data in R (free statistical software environment).

At the end of the course, learners should be able to:
1.  Define causal effects using potential outcomes
2.  Describe the difference between association and causation
3.  Express assumptions with causal graphs
4.  Implement several types of causal inference methods (e.g. matching, instrumental variables, inverse probability of treatment weighting)
5.  Identify which causal assumptions are necessary for each type of statistical method

So join us.... and discover for yourself why modern statistical methods for estimating causal effects are indispensable in so many fields of study!

A Crash Course in Causality:  Inferring Causal Effects from Observational Data


Applying to U.S. Universities

“It depends.”  That is what you’ll hear when asking about the U.S. university admission process.  With over 4,000 universities in the United States and no standard application system, the U.S. admission process can be confusing for everyone, but especially for students applying from other countries.

This course will help international students (non-U.S. citizens) and non-native English speakers navigate the U.S. university admission process by offering practical information about the documents and pieces that make up a U.S. university application.  More importantly, admission officers will discuss how they use those pieces to decide who is accepted and who is denied, so that you can understand the process beyond the pieces.

By the end of this course, you will understand application basics that include researching schools, creating a school list, and establishing an application plan.  This course will not answer all of your application questions, but it will teach you to ask the right questions of yourself and the universities.  Ultimately, you will have all the information you need to start your process the right way, putting you on the path to acceptance.

* Please note, while the English Language Programs are part of the University of Pennsylvania, this is not a course about applying to Penn.  Furthermore, this course is intended for international students educated in the national curriculum of their country.  While other students are welcome to enroll, the course is not intended for American students or students studying in an American, International Baccalaureate, or Advanced Placement curriculum.  The course is also intended for students who do not have access to university counseling – if you attend a school that offers university counseling, your counselor is the best source of information on applying to university.  Finally, this course is for undergraduate (Bachelors degree) freshmen (students who have not attended any university) applicants.  Undergraduate transfer applicants, students who have attended a university, will find some of the information helpful, but graduate (Masters and Doctoral) applicants will not.


Operations Analytics

This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data.

This course is appropriate for beginners and business professionals with no prior analytics experience.

Senthil Veeraraghavan
Sergei Savin
Noah Gans


Health Care Innovation

In this course, you’ll learn the foundational economic theories behind health care innovation and how to optimize your own health care practice or organization. Designed to help you gain a practical understanding of innovation techniques, operations management, and value and quality in the health care setting, this course will help you apply these frameworks to assess health care practices and apply innovation while managing risk. You’ll also explore the best practices for evaluating one’s innovative practices, using real-life examples of success to see the concepts in action. By the end of this course, you’ll have honed your skills in optimizing health care operations, and be able to develop the right set of evaluations and questions to achieve best innovative practices within your organization.

Amber Bird
Sarah Rottenberg
Neha Patel
Roy Rosin, MBA
Christian Terwiesch
Lee A. Fleisher


Driving Operational Performance

Elevate your operational management skills with our Driving Operational Performance course, building upon the foundations laid in the Introduction to Operations Management. Led by the renowned Dr. Terwiesch, this course provides an in-depth exploration of advanced operational concepts, equipping you with the tools to analyze and optimize complex processes. You will gain practical insights into enhancing operational efficiency through hands-on problem-solving and engaging video lectures.

In this course, you'll delve into the intricacies of process analysis, learning to identify bottlenecks within intricate systems and understanding how variability impacts operational performance. You'll explore the relationship between customization and setup times, enabling you to fine-tune processes for maximum efficiency. Capacity planning will be demystified as you discover how product mix affects capacity calculations and the importance of implied utilization. Additionally, you'll develop the ability to bridge finance and operations, using the Return on Invested Capital (ROIC) framework to connect financial and operational variables.

Our course structure is designed for your success, combining engaging video lectures, hands-on practice problems, and interactive discussions. You'll have the flexibility to pause videos, work on problems, and witness Dr. Terwiesch's problem-solving approach, ensuring a thorough grasp of the material.

Join us in pursuing operational excellence and acquiring the advanced skills necessary to drive success within your organization. Enhance your ability to analyze and optimize complex processes, link operations with finance, and improve customer experiences. With a focus on practicality and real-world applications, this course empowers you to become a more effective operational manager. Enroll today to take your career to the next level and make a lasting impact on your organization's performance.

Real-world examples from industry leaders will illustrate key concepts throughout the course. Please note that these case studies are for educational purposes and do not imply endorsements of the mentioned businesses. To fully benefit from this course, it's recommended to complete the Introduction to Operations Management course beforehand.


Management Fundamentals

People are the most valuable asset of any business, but they are also the most unpredictable, and the most difficult asset to manage. And although managing people well is critical to the health of any organization, most managers don't get the training they need to make good management decisions. Now, award-winning authors and renowned management Professors Mike Useem and Peter Cappelli of the Wharton School have designed this course to introduce you to the key elements of managing people. Based on their popular course at Wharton, this course will teach you how to motivate individual performance and design reward systems, how to design jobs and organize work for high performance, how to make good and timely management decisions, and how to design and change your organization’s architecture. By the end of this course, you'll have developed the skills you need to start motivating, organizing, and rewarding people in your organization so that you can thrive as a business and as a social organization.


Ever wondered why some things become popular, and other don't? Why some products become hits while others flop?  Why some ideas take off while others languish? What are the key ideas behind viral marketing? This course explains how things catch on and helps you apply these ideas to be more effective at marketing your ideas, brands, or products. You'll learn how to make ideas stick, how to increase your influence, how to generate more word of mouth, and how to use the power of social networks to spread information and influence. Drawing on principles from his best-selling book, "Contagious: Why Things Catch On," Professor Jonah Berger illustrates successful strategies for you to use buzz to create virality so that your campaigns become more shareable on social media and elsewhere. By the end of this course, you'll have a better understanding of how to craft contagious content, build stickier messages, and get  any product, idea, or behavior to catch on.

Viral Marketing and How to Craft Contagious Content


Microeconomics: When Markets Fail

Perfect markets achieve efficiency: maximizing total surplus generated. But real markets are imperfect. In this course we will explore a set of market imperfections to understand why they fail and to explore possible remedies including as antitrust policy, regulation, government intervention. Examples are taken from everyday life, from goods and services that we all purchase and use. We will apply the theory to current events and policy debates through weekly exercises. These will empower you to be an educated, critical thinker who can understand, analyze and evaluate market outcomes.


Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include: 1) the introduction and use of Taylor series and approximations from the beginning; 2) a novel synthesis of discrete and continuous forms of Calculus; 3) an emphasis on the conceptual over the computational; and 4) a clear, dynamic, unified approach.

In this second part--part two of five--we cover derivatives, differentiation rules, linearization, higher derivatives, optimization, differentials, and differentiation operators.

Calculus: Single Variable Part 2 - Differentiation


ESG and Social Activism

In this course, you will get an overview of the impact of contemporary ESG ratings and how a company balances ESG issues against its financial performance. You will evaluate the effectiveness of corporate authenticity and the impacts of politics when building corporate ESG policy. You will also learn about social activism’s ability to disrupt markets, and the roles that stakeholders play when dealing with financial markets.

Next, you will learn about corporate Boards, and the importance of creating independent Directors that can maintain neutrality to protect the interests of both the business and shareholders. You will also learn how Board structure is managed, methods for selecting Board members, and the role that Boards play when crafting ESG policy.

Lastly, you will look at the necessity of creating a diverse and inclusive culture within an organization and will examine best practices for boards to create strong crisis and risk management policies.

By the end of this course, you will have a comprehensive understanding of how social activism affects the corporate world in the 21st century, how to build a Board of Directors that can incorporate ESG issues into risk management and governance strategies, and how encouraging diverse and inclusive culture benefits companies.


Dr. Martin E.P.  Seligman—renowned worldwide as the “father of Positive Psychology”—has led visionary leaps in the scientific research, empirical data and personal understandings of human flourishing. This course explores the past, present and future of positive psychology as a journey through the key scientific leaps led by Dr. Seligman and his colleagues at the University of Pennsylvania's Positive Psychology Center and Master of Applied Positive Psychology program.

There are no prerequisites.

Positive Psychology: Martin E. P. Seligman’s Visionary Science


Social Norms, Social Change II

This  course is Part 2 of the Social Norms, Social Change series.  In this course, we will examine social change, the tools we may use to enact change, and put into practice all we have learned in Part 1.   See Social Norms, Social Change Part I at this link:    https://coursera.org/learn/norms

This course covers scripts and schemas, the cognitive structures in which social expectations are embedded, and their relationship with social norms.  The course then examines the essentials of norm abandonment, including the relations between personal beliefs and social expectations. We will also evaluate existing intervention strategies, including legal reforms, information campaigns, economic incentives, and group deliberations.  Finally, we look at a variety of tools policy makers may use to effect change, highlight the role of trendsetters in social change, and explore the conditions under which they can be successful. The course is a joint Penn-UNICEF project."

Please see the following link for a 30% discount on the book that accompanies this course:
https://global.oup.com/academic/product/9780190622053/?cc=us&lang=en&promocode=AAFLYG6


Positive Psychology: Resilience Skills

Learn how to incorporate resilience interventions into your personal and professional life with Dr. Karen Reivich. In this course, you are exposed to the foundational research in resilience, including protective factors such as mental agility and optimism. Several types of resilience interventions are explored including cognitive strategies; strategies to manage anxiety and increase positive emotions such as gratitude; and a critical relationship enhancement skill. Throughout the course, you will hear examples of individuals using resilience skills in their personal and professional lives.  Suggested prerequisites: Positive Psychology: Martin E. P. Seligman’s Visionary Science, Positive Psychology: Applications and Interventions and Positive Psychology: Character, Grit & Research Methods.


AI Strategy and Governance

In this course, you will discover AI and the strategies that are used in transforming business in order to gain a competitive advantage. You will explore the multitude of uses for AI in an enterprise setting and the tools that are available to lower the barriers to AI use. You will get a closer look at the purpose, function, and use-cases for explainable AI. This course will also provide you with the tools to build responsible AI governance algorithms as faculty dive into the large datasets that you can expect to see in an enterprise setting and how that affects the business on a greater scale. Finally, you will examine AI in the organizational structure, how AI is playing a crucial role in change management, and the risks with AI processes. By the end of this course, you will learn different strategies to recognize biases that exist within data, how to ensure that you maintain and build trust with user data and privacy, and what it takes to construct a responsible governance strategy. For additional reading, Professor Hosanagar's book "A Human’s Guide to Machine Intelligence" can be used as an additional resource for more extensive information on topics covered in this module.

Kartik Hosanagar
Lynn Wu
Kevin Werbach
Prasanna Tambe