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v2.ondemand
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This course is designed to teach you about Extended Reality (XR) and how it's used in healthcare education and clinical practice. Using lessons from experts in the field and different case studies, this course shows you how to use this innovative technology in a way that creates sustainable, accessible real-world appli...
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extended-reality-in-healthcare-education-and-clinical-practice
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BEGINNER
4 Weeks of study, 4 -6 hours/week
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[ "434" ]
[ "VerifiedCert" ]
XR in Healthcare Education and Clinical Practice
[ "Imperial College London" ]
[ "Jason A. Lawson", "James Kinross" ]
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v2.ondemand
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This course covers approaches for modelling treatment of infectious disease, as well as for modelling vaccination. Building on the SIR model, you will learn how to incorporate additional compartments to represent the effects of interventions, such the effect of vaccination in reducing susceptibility. You will learn abo...
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interventions-and-calibration
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[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Interventions and Calibration
[ "Imperial College London" ]
[ "Nimalan Arinaminpathy" ]
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v2.ondemand
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In this course, you will learn about the importance of measuring the quality of care and health outcomes in order to determine whether Quality Improvement(QI ) initiatives have achieved their aims. You will learn about how data is utilised to identify areas of improvement and the importance of using both quantitative ...
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using-data-for-healthcare-improvement
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BEGINNER
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Using Data for Healthcare Improvement
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[ "Dr Thomas Woodcock" ]
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v2.ondemand
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This course is all about infectious diseases. We’ve selected four disease areas — HIV, Malaria, Emerging Infectious Diseases (Ebola and Zika), and TB — and we will go through each in turn. We’ve selected these diseases because they span a range of different types of disease and allow us to look at important issues that...
[ { "subdomainId": "public-health", "domainId": "life-sciences" } ]
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global-disease-masterclass-communicable
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BEGINNER
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention
[ "Imperial College London" ]
[ "Helen Ward ", "Timothy Hallett" ]
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v2.ondemand
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The Global Diseases Masterclass is part of the full-degree Masters of Public Health that the School of Public Health. By the end of this specialisation, our aim is that students will be able to critically apply epidemiological concepts to major global diseases and be able to appraise and recommend policy options to com...
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global-disease-distribution
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[]
BEGINNER
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Global Disease Masterclass: Global Disease Distribution
[ "Imperial College London" ]
[ "Helen Ward ", "Timothy Hallett" ]
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v2.ondemand
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Welcome to Logistic Regression in R for Public Health! Why logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. Like the...
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[]
logistic-regression-r-public-health
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[]
INTERMEDIATE
3-5 hours/week
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Logistic Regression in R for Public Health
[ "Imperial College London" ]
[ "Alex Bottle" ]
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v2.ondemand
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This course introduces you to the concepts, theories and application of Quality Improvement (QI) in healthcare from a global perspective. You will hear from patients, clinicians and academics what quality improvement means to them, and how they work together to deliver change. Studying the challenges, they faced and st...
[ { "subdomainId": "public-health", "domainId": "life-sciences" } ]
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[]
intro-quality-improvement-healthcare-1
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[]
null
4 weeks of study, 4 hours/week
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Introduction to Quality Improvement in Healthcare
[ "Imperial College London" ]
[ "Dr Thomas Woodcock" ]
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v2.ondemand
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This course explores the different types of vaccine available. This is a useful framework for understanding the scientific understanding that went into vaccine development. It also gives a perspective of how innovation (e.g. fundamental virology, molecular biology) work in a translational medicine context. On succes...
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[]
types-of-vaccine
[ "46174750" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Types of Vaccine
[ "Imperial College London" ]
[ "John Tregoning" ]
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PUjEQz1RDBBMBCduh
v2.ondemand
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Welcome to this course on Customising your models with TensorFlow 2! In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures,...
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[]
customising-models-tensorflow2
[ "44342400" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Customising your models with TensorFlow 2
[ "Imperial College London" ]
[ "Dr Kevin Webster" ]
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v2.ondemand
[ "zXHZNqCdEeiljQ5gmiahbg" ]
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This course delves into intellectual property (IP) with an introduction into the innovation landscape within the UK and how that compares with other settings. You'll focus on how intellectual property applies to frugal innovations, compulsory licensing, and when and how to apply for intellectual property. This course t...
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[]
ghi-healthcare-entrepreneurship-taking-ideas-to-market
[ "37559006" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Healthcare Entrepreneurship: Taking Ideas to Market
[ "Imperial College London" ]
[ "Dr Matthew Harris" ]
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v2.ondemand
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Welcome to this course on the aetiology, epidemiology and interventions for non-communicable diseases of the Global Diseases Masterclass. We’ve selected four disease areas and will go through each in turn. The diseases we’ve chosen are: Colorectal Cancer, Cardiovascular Disease (CVD), Dementia, and Diabetes. We have se...
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[]
global-disease-non-communicable
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[]
BEGINNER
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Global Disease Masterclass: Non-communicable Diseases
[ "Imperial College London" ]
[ "Helen Ward ", "Timothy Hallett" ]
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NauK4VbcSk2EwqFV5
PUjEQz1RDBBMBCduh
v2.ondemand
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This course will bring you up to speed with the fundamentals of 2D graphics and 3D graphics in Android. This course provides the ideal primer for more advanced courses and applications, for example, OpenGL, as well as Virtual Reality in Android. This course is unique because it covers the key concepts and theory of ...
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[]
intro-android-graphics
[ "26194744" ]
[]
INTERMEDIATE
This course is 3 weeks long, and will require around 6 hours studying per week.
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Introduction to Android graphics
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[ "Benny Lo" ]
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v2.ondemand
[ "_xbbaOg1EeqZQw5YrcP8PQ" ]
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This course will introduce you to participatory approaches to public health. You will learn about the history of participatory health research and why it is essential to solving contemporary public health challenges. The course will help you to understand the social and cultural context of public health, before introdu...
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[]
introduction-participatory-approaches-public-health
[ "18930304" ]
[]
BEGINNER
4 hours a week for 4 weeks
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Introduction to Participatory Approaches in Public Health
[ "Imperial College London" ]
[ "Helen Ward " ]
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NauK4VbcSk2EwqFV5
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v2.ondemand
[ "ULKuv-X_EeqtkA5Jt4bR2Q" ]
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Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, im...
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[]
getting-started-with-tensor-flow2
[ "44342400" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Getting started with TensorFlow 2
[ "Imperial College London" ]
[ "Dr Kevin Webster" ]
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PUjEQz1RDBBMBCduh
v2.ondemand
[ "Nv1--xw0SDqc8MCXhwNrtw" ]
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This course describes how viruses interact with their hosts to infect, replicate, spread and cause disease. It looks at what controls the specificity of viruses for different host species and for different tissues within a host, also how this can lead to outbreaks and pandemics. It seeks to show how virus evolution is ...
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[]
what-do-viruses-do-and-how-do-we-control-them
[ "54187581" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
What Do Viruses Do And How Do We Control Them
[ "Imperial College London" ]
[ "Mike Skinner" ]
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v2.ondemand
[ "gaExsVUREeiC9wpsTgD1Fg" ]
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Epidemiological research is ubiquitous. Even if you don’t realise it, you come across epidemiological studies and the impact of their findings every single day. You have probably heard that obesity is increasing in high income countries or that malaria is killing millions of people in low income countries. It is common...
[ { "subdomainId": "public-health", "domainId": "life-sciences" }, { "subdomainId": "data-analysis", "domainId": "data-science" } ]
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[]
measuring-disease-epidemiology
[ "7400246" ]
[]
BEGINNER
4 weeks, 2-4 hrs/week
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Measuring Disease in Epidemiology
[ "Imperial College London" ]
[ "Filippos Filippidis" ]
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v2.ondemand
[ "e3wiTwXMEeim8hI7AVpI6A" ]
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This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner product...
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[]
pca-machine-learning
[ "28166858" ]
[]
INTERMEDIATE
4 weeks of study, 4-6 hours/week
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Mathematics for Machine Learning: PCA
[ "Imperial College London" ]
[ "Marc Peter Deisenroth" ]
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v2.ondemand
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Creativity concerns the development of new ideas. Throughout human history, the application of ideas has led to transformations of our daily lives and society. Modern business activity thrives on recently developed ideas, and it is through creativity that we address both challenges and opportunities. In this module, we...
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[]
introduction-to-creative-thinking
[ "40585714" ]
[]
BEGINNER
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Introduction to Creative Thinking: Tools for Success
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[ "Peter Childs" ]
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v2.ondemand
[ "e3wiTwXMEeim8hI7AVpI6A" ]
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In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to us...
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[]
linear-algebra-machine-learning
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[]
BEGINNER
5 weeks of study, 2-5 hours/week
[ "fr" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Mathematics for Machine Learning: Linear Algebra
[ "Imperial College London" ]
[ "David Dye", "Samuel J. Cooper", "A. Freddie Page" ]
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v2.ondemand
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Welcome to Introduction to Statistics & Data Analysis in Public Health! This course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys fea...
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[]
introduction-statistics-data-analysis-public-health
[ "31616650" ]
[]
BEGINNER
2-5 hours/week
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Introduction to Statistics & Data Analysis in Public Health
[ "Imperial College London" ]
[ "Alex Bottle" ]
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NauK4VbcSk2EwqFV5
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v2.ondemand
[ "ue9XQaCdEeit0w4Z4qTNFA" ]
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This specialization is intended for people interested in health systems and how they function. Participants will learn about the global health systems landscape and the challenges and opportunities to achieve better health outcomes. This specialisation is divided into three courses which are offered as massive online...
[ { "subdomainId": "public-health", "domainId": "life-sciences" } ]
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[]
healthsystems-policy-research
[ "38223511" ]
[]
BEGINNER
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Health Systems Development: Health systems, Policy and Research
[ "Imperial College London" ]
[ "Dr Sondus Hassounah" ]
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v2.ondemand
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Creativity is important in nearly every facet of life. Advances in neuro-science, computing and psychology, along with developments in other domains and cross-disciplinary areas have resulted in ever increasing understanding of creativity. This module will explore some advanced approaches to creativity such as the use ...
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[]
advanced-creative-thinking
[ "40585714" ]
[]
ADVANCED
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Advanced Creative Thinking and AI: Tools for Success
[ "Imperial College London" ]
[ "Peter Childs" ]
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v2.ondemand
[ "9GJm7lUPEeisFQ4yhHotIA" ]
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Welcome to Linear Regression in R for Public Health! Public Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the devel...
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[]
linear-regression-r-public-health
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[]
INTERMEDIATE
4 weeks of study 3-5 hours per week
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Linear Regression in R for Public Health
[ "Imperial College London" ]
[ "Alex Bottle", "Victoria Cornelius" ]
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v2.ondemand
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This specialization is intended for people interested in health systems and how they function. Participants will learn about the global health systems landscape and the challenges and opportunities to achieve better health outcomes. This specialisation is divided into three courses which are offered as massive online...
[ { "subdomainId": "public-health", "domainId": "life-sciences" } ]
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[]
introduction-to-health-systems
[ "38223511" ]
[]
BEGINNER
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Health Systems Development: Introduction to Health Systems
[ "Imperial College London" ]
[ "Dr Sondus Hassounah" ]
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v2.ondemand
[]
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In today’s ever-growing and changing world, being able to think creatively and innovatively are essential skills. It can sometimes be challenging to step back and reflect in an environment which is fast paced or when you are required to assimilate large amounts of information. Making sense of or communicating new ideas...
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creative-thinking-techniques-and-tools-for-success
[ "40585714" ]
[]
BEGINNER
2-4 hours/week
[ "en" ]
[ "434" ]
[ "VerifiedCert" ]
Creative Thinking: Techniques and Tools for Success
[ "Imperial College London" ]
[ "Peter Childs" ]
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v2.ondemand
[ "uGxPdZvmEemOCRIlCDX_4g" ]
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This course is an ideal introduction into creating virtual environments in Android. This course is unique as it covers a range of tools and techniques to create immersive 3D environments, giving you a rounded skill set in this growing field. By the end of this course, you will really be able to bring your VR ideas to...
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[]
3d-graphics-android-sensors-vr
[ "26194744" ]
[]
ADVANCED
4 weeks of study, around 6 hours per week. The final project will take around 10 hours to complete.
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
3D Graphics in Android: Sensors and VR
[ "Imperial College London" ]
[ "Benny Lo" ]
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v2.ondemand
[ "69PSN6CcEeiN7hKle_8b6g" ]
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The Foundations of Public Health Practice: The Public Health Toolkit builds on public health thinking (introduced in the previous course) and introduces a variety of core public health approaches (the toolkit) to conceptualising problems, conducting analysis and bringing forward recommendations. In this course we cover...
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[]
the-public-health-toolkit
[ "35734520" ]
[]
BEGINNER
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Foundations of Public Health Practice: The Public Health Toolkit
[ "Imperial College London" ]
[ "Dr Richard J Pinder" ]
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v2.ondemand
[ "uGxPdZvmEemOCRIlCDX_4g" ]
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This capstone project has been designed as an opportunity to practice what you have learned in the first 3 courses of this specialisation. This capstone project consists of 4 assignments. You will have to develop an immersive Android app with the use 3D graphics, sensor control and VR. For the first assignment, you wil...
[ { "subdomainId": "software-development", "domainId": "computer-science" }, { "subdomainId": "mobile-and-web-development", "domainId": "computer-science" } ]
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[]
aada-capstone
[ "26194744" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Advanced App Development in Android Capstone
[ "Imperial College London" ]
[ "Benny Lo" ]
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v2.ondemand
[ "xqSTqaQeEeqK2Q6xUWz2Fw" ]
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This course introduces the field of digital health and the key concepts and definitions in this emerging field. The key topics include Learning Health Systems and Electronic Health Records and various types of digital health technologies to include mobile applications, wearable technologies, health information systems,...
[ { "subdomainId": "public-health", "domainId": "life-sciences" } ]
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[]
introduction-to-digital-health
[ "74371106" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Introduction to Digital health
[ "Imperial College London" ]
[ "Ana Luisa Neves" ]
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v2.ondemand
[]
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Welcome to ‘Science Matters: Let's Talk about COVID-19’, from the Jameel Institute at Imperial College London. The outbreak of the Novel Coronavirus Disease (COVID-19) is the most significant public health emergency of the 21st century so far. As the epidemic spreads, people around the world want to understand the sci...
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[]
covid-19
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[]
BEGINNER
1 hour/module
[ "en" ]
[ "434", "630" ]
[]
Science Matters: Let's Talk About COVID-19
[ "Imperial College London", "Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA)" ]
[ "Helen Ward ", "Katharina Hauck", "Oliver Geffen Obregon" ]
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v2.ondemand
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The other two courses in this specialisation require you to perform deterministic modelling - in other words, the epidemic outcome is predictable as all parameters are fully known. However, this course delves into the many cases – especially in the early stages of an epidemic – where chance events can be influential in...
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[]
building-on-the-sir-model
[ "40203219" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Building on the SIR Model
[ "Imperial College London" ]
[ "Nimalan Arinaminpathy" ]
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v2.ondemand
[ "e3wiTwXMEeim8hI7AVpI6A" ]
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This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to b...
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[]
multivariate-calculus-machine-learning
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[]
BEGINNER
6 weeks of study, 2-5 hours/week
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Mathematics for Machine Learning: Multivariate Calculus
[ "Imperial College London" ]
[ "Samuel J. Cooper", "David Dye", "A. Freddie Page" ]
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v2.ondemand
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This course will cover the fundamentals of OpenGL and OpenGL ES in Android. This course is unique because it covers the mechanics of how OpenGL works and also more practical applications to draw 2D and 3D objects. This is an ideal primer for more complex courses on VR and AR within Android. We'll begin by covering...
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[]
android-graphics-opengl-es
[ "26194744" ]
[]
INTERMEDIATE
4 weeks of study, around 5 hours per week. The final project will take around 10 hours to complete.
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Android Graphics with OpenGL ES
[ "Imperial College London" ]
[ "Benny Lo" ]
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v2.ondemand
[ "ULKuv-X_EeqtkA5Jt4bR2Q" ]
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Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area of deep learning t...
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[]
probabilistic-deep-learning-with-tensorflow2
[ "44342400" ]
[]
ADVANCED
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Probabilistic Deep Learning with TensorFlow 2
[ "Imperial College London" ]
[ "Dr Kevin Webster" ]
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v2.ondemand
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The Health Protection course is the fourth instalment of the wider Foundations of Public Health Practice specialisation from Imperial College London's Global Master of Public Health (MPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawin...
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[]
health-protection
[ "35734520" ]
[]
BEGINNER
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Foundations of Public Health Practice: Health Protection
[ "Imperial College London" ]
[ "Dr Richard J Pinder" ]
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v2.ondemand
[ "CLYk39WGEeqEcQpEINbEww" ]
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Migration and health is the second instalment of the wider Global Health Challenges and Governance specialisation from Imperial College London's Global Master of Public Health (GMPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on ...
[ { "subdomainId": "public-health", "domainId": "life-sciences" } ]
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[]
migration-health
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[]
BEGINNER
Approximately 30 hours to complete
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Migration and health
[ "Imperial College London" ]
[ "Christina Atchison", "Wendy Kwok" ]
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v2.ondemand
[ "ue9XQaCdEeit0w4Z4qTNFA" ]
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This specialization is intended for people interested in health systems and how they function. Participants will learn about the global health systems landscape and the challenges and opportunities to achieve better health outcomes. This specialisation is divided into three courses which are offered as massive online...
[ { "subdomainId": "public-health", "domainId": "life-sciences" } ]
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[]
health-service-delivery-and-human-resources
[ "38223511" ]
[]
BEGINNER
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Health Systems Development: A Focus on Health Service Delivery and Human Resources for Health
[ "Imperial College London" ]
[ "Dr Sondus Hassounah" ]
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v2.ondemand
[]
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TensorFlow 2 시작하기 과정에 오신 것을 환영합니다! 이 과정에서는 순차 API를 사용한 모델 구축, 훈련, 평가 및 예측, 모델 검증, 정규화, 콜백 구현, 모델 저장 및 로딩 등 Tensorflow를 사용하여 딥 러닝 모델을 개발하기 위한 완벽한 엔드-투-엔드 워크플로우를 배우게 됩니다. 배운 개념을 실용적인 실습형 코딩 자습서에서 바로 연습할 것이며 이는 대학원 조교에게 안내를 받게 될 것입니다. 또한 기술을 통합할 수 있는 일련의 자동 채점 프로그래밍 과제가 있습니다.\n\n과정이 끝나면 이미지 분류기 딥 러닝 모델을 처음부터 개발하는 Capst...
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[]
getting-started-with-tensor-flow2-ko
[ "44342400" ]
[]
INTERMEDIATE
[ "ko" ]
[ "434" ]
[ "VerifiedCert" ]
TensorFlow 2 시작하기
[ "Imperial College London" ]
[ "Dr Kevin Webster" ]
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v2.ondemand
[ "xqSTqaQeEeqK2Q6xUWz2Fw" ]
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This course focuses on data, evaluation methods and the economic evaluation of digital health interventions. This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. The key focus is on experimental and quasi...
[ { "subdomainId": "public-health", "domainId": "life-sciences" } ]
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[]
evaluation-of-digital-health-interventions
[ "74371106" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Evaluation of Digital Health Interventions
[ "Imperial College London" ]
[ "Ana Luisa Neves" ]
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v2.ondemand
[ "CLYk39WGEeqEcQpEINbEww" ]
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Globalisation and health governance is the first instalment of the wider Global Health Challenges and Governance specialisation from Imperial College London's Global Master of Public Health (GMPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitione...
[ { "subdomainId": "public-health", "domainId": "life-sciences" } ]
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[]
globalisation-health-governance
[ "36578131", "57358867" ]
[]
BEGINNER
Approximately 30 hours to complete
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Globalisation and health governance
[ "Imperial College London" ]
[ "Christina Atchison", "Wendy Kwok" ]
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v2.ondemand
[ "bIYutaCeEeixlg5fiZTWeA" ]
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Quality improvement methods were first deployed in healthcare in e hospital settings. However, over the past decade particularly, there has been increasing focus on the application of these methods in improving population and public health. In this course, you will apply a combination of both approaches to population h...
[ { "subdomainId": "public-health", "domainId": "life-sciences" } ]
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[]
quality-improvement-for-population-health
[ "4854525" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Quality Improvement for Population Health
[ "Imperial College London" ]
[ "Dr Thomas Woodcock" ]
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v2.ondemand
[ "_xbbaOg1EeqZQw5YrcP8PQ" ]
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This course focuses on participatory approaches in research, known as 'public involvement' in the UK. You'll specifically, consider why citizens and patients would be involved in research and explore participatory approaches across and within the research cycle in more detail, diving into questions such as: - what kind...
[ { "subdomainId": "public-health", "domainId": "life-sciences" }, { "subdomainId": "research", "domainId": "life-sciences" } ]
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[]
public-involvement-in-research
[ "44377912", "18930304" ]
[]
BEGINNER
4 weeks of study, 4 hours per week
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Public Involvement in Research
[ "Imperial College London" ]
[ "Maria Piggin", "Helen Ward " ]
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v2.ondemand
[ "zXHZNqCdEeiljQ5gmiahbg" ]
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This course reflects on global health challenges and the role of innovative solutions in addressing them. By engaging in this course, you will be able to describe the principles and key types of innovation in order to characterise the fundamental features of new models of care and technologies. This course will revie...
[ { "subdomainId": "public-health", "domainId": "life-sciences" }, { "subdomainId": "entrepreneurship", "domainId": "business" } ]
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[]
guide-to-healthcare-innovation-principles-and-practice
[ "37559006" ]
[]
BEGINNER
4 weeks of study; approx. 4 hours per week
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
A Guide to Healthcare Innovation: Principles and Practice
[ "Imperial College London" ]
[ "Dr Matthew Harris" ]
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v2.ondemand
[ "Nv1--xw0SDqc8MCXhwNrtw" ]
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This course describes the underpinning science around vaccines and their development. It will look at the immunological underpinnings of how vaccines induce protection. It will also look at the epidemiological basis of how vaccines are rolled out. Finally it will explore how new vaccines are developed. On successful c...
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[]
how-vaccines-work
[ "46174750" ]
[]
INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
How Vaccines Work
[ "Imperial College London" ]
[ "John Tregoning" ]
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In this course, you will learn about the role of immune responses of the adaptive (acquired) immune system which provides specialised immunity against pathogens. Guided by our researchers in the Department of Immunity and Inflammation, we will take a closer look at the lymphocyte subsets and mechanisms involved in t...
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6 weeks of study, 1-2 hours/week
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Immunology: Adaptive Immune System
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This course teaches you about the global health harms caused by tobacco and the efforts underway to combat these. You'll analyse the strategies and tactics used by the tobacco industry, and their allies, to keep people buying their products, and you'll reflect on the role played by public health research in pushing bac...
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BEGINNER
4 hours of study per week for 3 weeks
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[ "434" ]
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Tobacco Control: Agile Policy, Research and Practice
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Welcome to Survival Analysis in R for Public Health! The three earlier courses in this series covered statistical thinking, correlation, linear regression and logistic regression. This one will show you how to run survival – or “time to event” – analysis, explaining what’s meant by familiar-sounding but deceptive term...
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survival-analysis-r-public-health
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3-5 hours/week
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Survival Analysis in R for Public Health
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Our immune system relies on an innate and an adaptive arm that communicate and collaborate to provide us with an optimal response against pathogens. This course focuses on our innate immunity which provides us our first, fast and inherited defence against infections. In this course, you will take a closer look at the ...
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immunology-innate-immune-system
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INTERMEDIATE
5 weeks of study, 1-2 hours/week
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[ "434" ]
[ "VerifiedCert", "Specialization" ]
Immunology: Innate Immune System
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This course specifically explores approaches and tools and how to apply them in public health settings. Students will learn how to critically analyse the power dynamics present between multidisciplinary stakeholders and appreciate the need for reciprocity between those delivering and those receiving health care; betwe...
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applying-participatory-approaches-in-public-health-settings
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BEGINNER
Approximately 3 hours of study per week over 5 weeks.
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Applying Participatory Approaches in Public Health Settings
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This course covers various themes around design, regulatory approaches, ethics, technology adoption, implementation and strategy as applied to digital health. These session cover areas to include data regulations, examples of data breaches in digital health, the challenges and opportunities of technology adoption and i...
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digital-health-design-implementation
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INTERMEDIATE
[ "en" ]
[ "434" ]
[ "VerifiedCert", "Specialization" ]
Design and Implementation of Digital Health Interventions
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Large language models (LLMs) are trained on human-generated text, but additional methods are needed to align an LLM with human values and preferences. Reinforcement Learning from Human Feedback (RLHF) is currently the main method for aligning LLMs with human values and preferences. RLHF is also used for further tuning...
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INTERMEDIATE
1 hour
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[]
Reinforcement Learning from Human Feedback
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Learn how to build multimodal search and RAG systems. RAG systems enhance an LLM by incorporating proprietary data into the prompt context. Typically, RAG applications use text documents, but, what if the desired context includes multimedia like images, audio, and video? This course covers the technical aspects of impl...
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INTERMEDIATE
1 hour
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[ "475" ]
[]
Building Multimodal Search and RAG
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[ "Sebastian Witalec" ]
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Knowledge graphs are used in development to structure complex data relationships, drive intelligent search functionality, and build powerful AI applications that can reason over different data types. Knowledge graphs can connect data from both structured and unstructured sources (databases, documents, etc.), providing ...
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knowledge-graphs-rag
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INTERMEDIATE
1 hour
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[ "475" ]
[]
Knowledge Graphs for RAG
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If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine...
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introduction-tensorflow
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INTERMEDIATE
4 weeks, 4-5 hours/week
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[ "475" ]
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
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Learn how to build and evaluate a data agent in “Building and Evaluating Data Agents,” a course created in collaboration with Snowflake, and taught by Anupam Datta, AI Research Lead, and Josha Reini, Developer Advocate at Snowflake. You’ll design a data agent that connects to data sources (databases, files) and perfor...
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building-and-evaluating-data-agents
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1 Hour 59 Minutes
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Building and Evaluating Data Agents
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This course is designed to enhance your skills by integrating AI chatbots as pair programmers in your development process. You’ll learn about how large language models (LLMs) work and how this general-purpose technology can be applied to common software development tasks to help boost productivity, creativity, and supp...
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introduction-to-generative-ai-for-software-development
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[ "475" ]
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Introduction to Generative AI for Software Development
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In Building AI Applications with Haystack you will learn a high-level orchestration framework that helps ensure your applications are flexible, extendible, and maintainable, even as the technology stack changes, user needs arise, and new features are added. Using a framework can provide common features out of the box ...
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Building AI Applications with Haystack
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AI Python for Beginners is designed to help you leverage the power of Python programming, even if your goal isn’t to become a software developer or AI engineer. This four-part course that teaches you to code practical AI applications from day one, even if you've never programmed before. You’ll learn with support from a...
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AI Python for Beginners
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As AI moves beyond the cloud, on-device inference is rapidly expanding to smartphones, IoT devices, robots, AR/VR headsets, and more. Billions of mobile and other edge devices are ready to run optimized AI models. This course equips you with key skills to deploy AI on device: 1. Explore how deploying models on devic...
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Introduction to On-Device AI
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Advance your PyTorch skills by building sophisticated deep learning models and preparing them for deployment. You’ll design custom architectures that go beyond Sequential models, exploring Siamese Networks, ResNet, and DenseNet to understand how modern systems handle complex data. You’ll build Transformer architectur...
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PyTorch: Advanced Architectures and Deployment
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Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task. This course will introduce you to Machine Lear...
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1 hour
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Evaluating and Debugging Generative AI
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Из этого курса вы узнаете, как создавать успешные проекты по машинному обучению. Вы — лидер команды по внедрению ИИ или хотите им стать? Этот курс научит вас ставить правильные цели для своей команды. Многое из содержимого этого курса никогда не предлагалось в других образовательных проектах и наработано на основе мо...
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Структурирование проектов по машинному обучению
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Enhancing a RAG system’s performance depends on efficiently processing diverse unstructured data sources. In this course, you’ll learn techniques for representing all sorts of unstructured data, like text, images, and tables, from many different sources and implement them to extend your LLM RAG pipeline to include Ex...
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BEGINNER
1 hour
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[ "475" ]
[]
Preprocessing Unstructured Data for LLM Applications
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In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model. Unlock new development capabilities and improve your efficiency in this brand new short course. You’ll build: 1. Chains of prompts that interact with the completions of prior prompts...
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1 hour
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Building Systems with the ChatGPT API
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La IA no es solo para ingenieros. Si desea que su organización esté mejor preparada en el uso de la IA, este es el curso que todos deberían hacer, especialmente sus colegas no técnicos. En este curso, aprenderá lo siguiente: - El significado detrás de la terminología común de IA, incluidos términos como redes neurona...
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ai-for-everyone-es
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IA Para Todos (Español)
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Vous souhaitez vous lancer dans l’IA de pointe ? Ce cours est là pour vous y aider. Les ingénieurs en Deep Learning sont très convoités et la maîtrise de ce domaine vous ouvrira de nombreuses opportunités professionnelles. Le Deep Learning est également un nouveau « superpouvoir » qui vous permettra de développer des s...
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Réseaux neuronaux et Deep Learning
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Multimodal models like Gemini are pushing the boundaries of what’s possible by unifying traditionally siloed data modalities. With Gemini, you can build applications that seamlessly understand and reason across text, images, and videos, enabling a new class of intelligent systems. For example, building a virtual interi...
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BEGINNER
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Large Multimodal Model Prompting with Gemini
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In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep lear...
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INTERMEDIATE
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[ "475" ]
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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
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Cette formation vous apprendra à construire des modèles pour le langage naturel, l’audio et les autres données de séquence. Grâce à l’apprentissage profond, les algorithmes de séquence fonctionnent beaucoup mieux qu’il y a deux ans ; nous disposons donc de nombreuses applications très intéressantes en matière de reconn...
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nlp-sequence-models-fr
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INTERMEDIATE
[ "fr" ]
[ "475" ]
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Modèles de séquence
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Generative AI models, like large language models, often exceed the capabilities of consumer-grade hardware and are expensive to run. Compressing models through methods such as quantization makes them more efficient, faster, and accessible. This allows them to run on a wide variety of devices, including smartphones, per...
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quantization-fundamentals
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BEGINNER
1 hour
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Quantization Fundamentals with Hugging Face
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Join our new short course and learn from Jerry Liu, co-founder and CEO at LlamaIndex to start using agentic RAG, a framework designed to build research agents skilled in tool use, reasoning, and decision-making with your data. In this course: 1. Build the simplest form of agentic RAG – a router. Given a query, the ro...
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building-agentic-rag-with-llamaindex
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BEGINNER
1 hour
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Building Agentic RAG with LlamaIndex
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AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine. Medical treatment m...
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ai-for-medical-treatment
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INTERMEDIATE
3 weeks, 5-6 hours/week
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[ "475" ]
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AI For Medical Treatment
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Join our new short course, Improving Accuracy of LLM Applications with Lamini and Meta. Learn from Sharon Zhou, Co-founder & CEO of Lamini, and Amit Sangani, Senior Director of Partner Engineering, Meta. Many developers have experienced frustration with inconsistent results when working with LLM applications. This cou...
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improving-accuracy-of-llm-applications
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INTERMEDIATE
1 hour
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[ "475" ]
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Improving Accuracy of LLM Applications
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AI pair programming is being rapidly adopted by developers to help with tasks across the tech stack, from catching bugs to quickly inserting entire code snippets. Learn how LLMs can enhance, debug, and document your code in this new course built in collaboration with Google. Get free access to Google’s PaLM API and ...
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pair-programming-llm
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BEGINNER
1 hour
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Pair Programming with a Large Language Model
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Master advanced PyTorch techniques to build high-performing, efficient deep learning models. In this course, you’ll expand your skills in hyperparameter optimization, model profiling, and workflow efficiency. You’ll experiment with learning rate schedulers, tackle overfitting, and use automated hyperparameter tuning w...
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pytorch-techniques-and-ecosystem-tools
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INTERMEDIATE
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[ "475" ]
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PyTorch: Techniques and Ecosystem Tools
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In this course, you'll elevate your software development skills by learning how to leverage AI in collaborative team environments. You'll discover how to use large language models (LLMs) to streamline testing processes, create comprehensive documentation, and manage complex dependencies. By the end of this course, you...
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team-software-engineering-with-ai
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BEGINNER
1 week, 5 hours/week
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[ "475" ]
[ "VerifiedCert", "Specialization" ]
Team Software Engineering with AI
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[ "Laurence Moroney" ]
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딥 러닝 전문화 과정의 세 번째 과정에서는 성공적인 머신 러닝 프로젝트를 구축하고 머신 러닝 프로젝트 리더로서 의사 결정을 연습하는 방법을 배우게 됩니다. 이 과정을 마치면 머신 러닝 시스템의 오류를 진단할 수 있고, 오류를 줄이기 위한 전략의 우선 순위를 지정하고, 일치하지 않는 training/test set와 같은 복합적인 ML 설정을 이해하며 휴먼 레벨의 성능에 필적 및/또는 능가하는 ML 설정을 이해하고, 종단 간 학습, 전이 학습, 멀티 태스크 러닝을 적용할 수 있게 됩니다. 이는 또한 기본적인 머신 러닝 지식이 있는 학습자를 위한 독립형 과정입니다....
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machine-learning-projects-ko
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BEGINNER
주당 5시간 기준의 경우 이 과정 완료에는 일반적으로 4주가 소요됩니다.
[ "ko" ]
[ "475" ]
[ "VerifiedCert" ]
머신 러닝 프로젝트 구조화
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[ "Andrew Ng" ]
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Ce cours vous apprendra à créer des réseaux neuronaux convolutifs et à les appliquer aux données d'image. Grâce à l'apprentissage en profondeur, la vision par ordinateur fonctionne beaucoup mieux qu'il y a seulement deux ans, ce qui permet de nombreuses applications passionnantes allant de la conduite autonome en toute...
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convolutional-neural-networks-fr
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[]
INTERMEDIATE
4 semaines d'étude, 4-5 heures/semaine
[ "fr" ]
[ "475" ]
[ "VerifiedCert" ]
Réseaux neuronaux convolutifs
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[ "Andrew Ng", "Kian Katanforoosh", "Younes Bensouda Mourri" ]
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Throughout this course, you will learn the fundamental statistical concepts, analyses, and visualizations that serve as the foundation for a career as a data analyst. Whether you're new to statistics or looking to refresh your skills, this course will equip you with powerful techniques to extract meaningful insights f...
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applied-statistics-for-data-analytics
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Applied Statistics for Data Analytics
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[ "Sean Barnes" ]
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JavaScript is the world’s most popular programming language, and now developers can program in JavaScript to build powerful LLM apps. This course will show webdevs how to expand their toolkits with LangChain.js, a popular JavaScript framework for building with LLMs, and will cover useful concepts for creating powerful...
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INTERMEDIATE
2 hours
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[ "475" ]
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Build LLM Apps with LangChain.js
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If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine...
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INTERMEDIATE
4 weeks of study, 4-5 hours/week
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Convolutional Neural Networks in TensorFlow
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In this course, you will: • Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network. • Build custom loss functions (including the contrastive loss function used in a Siamese network) in order to meas...
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custom-models-layers-loss-functions-with-tensorflow
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INTERMEDIATE
At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.
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[ "475" ]
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Custom Models, Layers, and Loss Functions with TensorFlow
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In Course 4 of the Natural Language Processing Specialization, you will: a) Translate complete English sentences into Portuguese using an encoder-decoder attention model, b) Build a Transformer model to summarize text, c) Use T5 and BERT models to perform question-answering. By the end of this Specialization, you w...
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attention-models-in-nlp
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INTERMEDIATE
At the rate of 5 hours a week, it typically takes 4 weeks to complete one Course.
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[ "475" ]
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Natural Language Processing with Attention Models
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In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform multi-class classification • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world • Build and use decision trees and tr...
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advanced-learning-algorithms
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Advanced Learning Algorithms
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In this course, you’ll learn to communicate insights in ways that drive real decisions. You’ll explore how to choose the right format to present your findings and tailor your message to technical and non-technical audiences. You’ll start by learning how to craft data stories that provide context and align with busines...
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dlai-data-storytelling
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Data Storytelling
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Newly updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python progra...
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Probability & Statistics for Machine Learning & Data Science
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Join our new short course, Introducing Multimodal Llama 3.2, and learn from Amit Sangani, Senior Director of AI Partner Engineering at Meta, to learn all about the latest additions to the Llama models 3.1 and 3.2, from custom tool calling to multimodality and the new Llama stack. Open models are a key building block o...
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Introducing Multimodal Llama 3.2
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In this course, you will: a) Explore image classification, image segmentation, object localization, and object detection. Apply transfer learning to object localization and detection. b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, lo...
[ { "subdomainId": "machine-learning", "domainId": "data-science" }, { "subdomainId": "software-development", "domainId": "computer-science" } ]
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[]
advanced-computer-vision-with-tensorflow
[ "10261328", "170597538" ]
[]
INTERMEDIATE
At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.
[ "en" ]
[ "475" ]
[ "VerifiedCert", "Specialization" ]
Advanced Computer Vision with TensorFlow
[ "DeepLearning.AI" ]
[ "Laurence Moroney", "Eddy Shyu" ]
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v2.ondemand
[ "I7xTyNLAEeqdUQo9B2YGiw" ]
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In this course, you will: - Assess the challenges of evaluating GANs and compare different generative models - Use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs - Identify sources of bias and the ways to detect it in GANs - Learn and implement the techniques associated with ...
[ { "subdomainId": "machine-learning", "domainId": "data-science" }, { "subdomainId": "algorithms", "domainId": "computer-science" } ]
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[]
build-better-generative-adversarial-networks-gans
[ "33034026", "64668721", "65115349" ]
[]
INTERMEDIATE
At the rate of 5 hours a week, it typically takes 3 weeks to complete this course.
[ "en" ]
[ "475" ]
[ "VerifiedCert", "Specialization" ]
Build Better Generative Adversarial Networks (GANs)
[ "DeepLearning.AI" ]
[ "Sharon Zhou", "Eda Zhou", "Eric Zelikman" ]
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v2.ondemand
[ "WM-wjDK4EeyT8xKdcQQUGQ" ]
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In this course, you will be introduced to the basics of artificial intelligence and machine learning and how they are applied in real-world scenarios in the AI for Good space. You will also be introduced to a framework for problem solving where AI is part of the solution. The course concludes with a case study featurin...
[ { "subdomainId": "machine-learning", "domainId": "data-science" }, { "subdomainId": "design-and-product", "domainId": "computer-science" } ]
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[]
ai-and-public-health
[ "118857580" ]
[]
BEGINNER
[ "en" ]
[ "475" ]
[ "VerifiedCert", "Specialization" ]
AI and Public Health
[ "DeepLearning.AI" ]
[ "Robert Monarch" ]
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v2.ondemand
[]
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딥 러닝 전문화의 첫 번째 과정에서는 신경망과 딥 러닝의 기본 개념을 학습합니다. 마지막에는 완전히 연결된 심층 신경망의 구축, 훈련 및 적용, 효율적인(벡터화된) 신경망 구현, 신경망 아키텍처의 주요 파라미터 식별, 딥 러닝을 자체 애플리케이션에 적용 등 딥 러닝의 부상을 주도하는 중요한 기술 동향에 익숙해질 것입니다. 딥 러닝 전문화는 딥 러닝의 기능, 과제 및 결과를 이해하고 첨단 AI 기술 개발에 참여할 수 있도록 준비하는 데 도움이 되는 기본 프로그램입니다. 머신 러닝을 업무에 적용하고, 기술 경력의 수준을 높이고, AI 세계에서 결정적인 단계를 밟을 ...
[ { "subdomainId": "machine-learning", "domainId": "data-science" }, { "subdomainId": "algorithms", "domainId": "computer-science" } ]
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[]
neural-networks-deep-learning-ko
[ "20612763" ]
[]
INTERMEDIATE
주당 5시간의 비율로 전문화 과정의 각 과정을 마치는 데 약 5주가 소요됩니다.
[ "ko" ]
[ "475" ]
[ "VerifiedCert" ]
신경망 및 딥 러닝
[ "DeepLearning.AI" ]
[ "Younes Bensouda Mourri" ]
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v2.ondemand
[]
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Этот курс научит вас строить сверточные нейронные сети и использовать их для обработки изображений. Благодаря глубокому обучению машинное зрение сегодня работает намного лучше, чем всего лишь два года назад, и это позволяет использовать его в самых разных отраслях, начиная от безопасного автономного вождения и точного ...
[ { "subdomainId": "machine-learning", "domainId": "data-science" }, { "subdomainId": "algorithms", "domainId": "computer-science" } ]
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[]
convolutional-neural-networks-ru
[ "1244", "24382163", "20612763" ]
[]
INTERMEDIATE
4 недели обучения по 4–5 часов в день
[ "ru" ]
[ "475" ]
[ "VerifiedCert" ]
Сверточные нейронные сети
[ "DeepLearning.AI" ]
[ "Andrew Ng", "Kian Katanforoosh", "Younes Bensouda Mourri" ]
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v2.ondemand
[]
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ستتعلم في هذا المساق كيفية إنشاء نماذج للغة الطبيعية والصوت وغيرها من البيانات المتعاقبة. بفضل التعلم العميق، تعمل خوارزميات التسلسل والتعاقب بشكل أفضل بكثير مما كانت عليه قبل عامين فقط مما يتيح العديد من التطبيقات المثيرة في التعرف على الكلام والتركيبات الموسيقية وروبوتات الدردشة والترجمة الآلية وفهم اللغة الطبيعية وغ...
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[]
nlp-sequence-models-ar
[ "1244", "24382163", "20612763" ]
[]
INTERMEDIATE
[ "ar" ]
[ "475" ]
[ "VerifiedCert" ]
النماذج المتعاقبة
[ "DeepLearning.AI" ]
[ "Andrew Ng", "Kian Katanforoosh", "Younes Bensouda Mourri" ]
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v2.ondemand
[]
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Данный курс научит вас строить модели естественных языков, звуков и других последовательных данных. Благодаря глубокому обучению последовательные алгоритмы сегодня работают в разы лучше, чем ещё два года назад. Это открывает широчайший спектр возможностей применения алгоритмов в распознавании речи, синтезе музыки, чат-...
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[]
nlp-sequence-models-ru
[ "1244", "24382163", "20612763" ]
[]
INTERMEDIATE
[ "ru" ]
[ "475" ]
[ "VerifiedCert" ]
Последовательные модели
[ "DeepLearning.AI" ]
[ "Andrew Ng", "Kian Katanforoosh", "Younes Bensouda Mourri" ]
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v2.ondemand
[]
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In Quantization in Depth you will build model quantization methods to shrink model weights to ¼ their original size, and apply methods to maintain the compressed model’s performance. Your ability to quantize your models can make them more accessible, and also faster at inference time. Implement and customize linear q...
[ { "subdomainId": "algorithms", "domainId": "computer-science" }, { "subdomainId": "software-development", "domainId": "computer-science" } ]
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[]
quantization-in-depth
[ "132283682", "152910793" ]
[]
INTERMEDIATE
1 hour
[ "en" ]
[ "475" ]
[]
Quantization in Depth
[ "DeepLearning.AI" ]
[ "Younes Belkada", "Marc Sun " ]
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v2.ondemand
[]
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سيُعلمك هذا المساق طريقة إعداد الشبكات العصبونية الالتفافية وتطبيقها على بيانات الصورة. وبفضل التعلم المتعمق، تعمل الرؤية الحاسوبية على نحوٍ أفضل كثيرًا مما كانت عليه في العامين السابقين وأتاح هذا الكثير من التطبيقات الحالية التي تمتد بدءًا من التحكم الذاتي الآمن حتى التعرف على الوجه بصورةٍ دقيقة وحتى القراءة الأوتومات...
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convolutional-neural-networks-ar
[ "1244", "24382163", "20612763" ]
[]
INTERMEDIATE
4 weeks of study, 4-5 hours/week
[ "ar" ]
[ "475" ]
[ "VerifiedCert" ]
الشبكات العصبونية الالتفافية
[ "DeepLearning.AI" ]
[ "Andrew Ng", "Kian Katanforoosh", "Younes Bensouda Mourri" ]
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v2.ondemand
[ "_U5cASTxEemuhAoKFebZeA" ]
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In Course 1 of the Natural Language Processing Specialization, you will: a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes, b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relati...
[ { "subdomainId": "machine-learning", "domainId": "data-science" }, { "subdomainId": "algorithms", "domainId": "computer-science" } ]
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[]
classification-vector-spaces-in-nlp
[ "28009072", "1843326", "170597538" ]
[]
INTERMEDIATE
At the rate of 5 hours a week, it typically takes 4 weeks to complete one Course.
[ "en" ]
[ "475" ]
[ "VerifiedCert", "Specialization" ]
Natural Language Processing with Classification and Vector Spaces
[ "DeepLearning.AI" ]
[ "Younes Bensouda Mourri", "Łukasz Kaiser", "Eddy Shyu" ]
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v2.ondemand
[]
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In Building Your Own Database Agent you will develop an AI agent that interacts with databases using natural language, simplifying the process for querying and extracting insights. Created in partnership with Microsoft and taught by Adrian Gonzalez Sanchez, Data and AI Specialist at Microsoft, this course is designed f...
[ { "subdomainId": "software-development", "domainId": "computer-science" }, { "subdomainId": "algorithms", "domainId": "computer-science" } ]
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[]
building-your-own-database-agent
[ "96413576" ]
[]
BEGINNER
1 hour
[ "en" ]
[ "475" ]
[]
Building Your Own Database Agent
[ "DeepLearning.AI" ]
[ "Adrian Gonzalez Sanchez" ]
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v2.ondemand
[ "I7xTyNLAEeqdUQo9B2YGiw" ]
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In this course, you will: - Learn about GANs and their applications - Understand the intuition behind the fundamental components of GANs - Explore and implement multiple GAN architectures - Build conditional GANs capable of generating examples from determined categories The DeepLearning.AI Generative Adversarial Netwo...
[ { "subdomainId": "machine-learning", "domainId": "data-science" }, { "subdomainId": "algorithms", "domainId": "computer-science" } ]
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[]
build-basic-generative-adversarial-networks-gans
[ "33034026", "64668721", "65115349" ]
[]
INTERMEDIATE
At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.
[ "en" ]
[ "475" ]
[ "VerifiedCert", "Specialization" ]
Build Basic Generative Adversarial Networks (GANs)
[ "DeepLearning.AI" ]
[ "Sharon Zhou", "Eda Zhou", "Eric Zelikman" ]
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v2.ondemand
[ "i6gHu610Ee2l2hKRLdW81Q", "uvWXX6NMEem8VwqbwgpIcA" ]
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En este curso, a través de una combinación de conferencias de video, demostraciones y prácticas, aprenderás acerca de los componentes principales de un sistema operativo y cómo realizar tareas críticas tales como administrar software y usuarios, y configurar hardware. Vamos a terminar con un ejemplo de cómo puede apare...
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[]
sistemas-operativos
[ "82360329" ]
[]
BEGINNER
8 - 10 horas por semana
[ "es" ]
[ "463" ]
[ "VerifiedCert", "Specialization" ]
Sistemas operativos y tú: Convertirse en un usuario avanzado
[ "Google" ]
[ "Google Career Certificates" ]
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