650 Free Online Programming & Computer Science Courses You Can Start This June

Seven years ago, universities like MIT and Stanford first opened up free online courses to the public. Today, more than 900 schools around the world have created thousands of free online courses, popularly known as Massive Open Online Courses or MOOCs.

I’ve compiled this list of 650 such free online courses that you can start this summer. For this, I leveraged Class Central’s database of over 11,000 online courses. I’ve also included each course’s average rating.

Class Central’s Homepage

I’ve sorted these courses into the following categories based on their difficulty level:

  • Beginner
  • Intermediate
  • Advanced

Courses that are being offered for the first time are marked as [NEW].

Many of these courses are completely self-paced. The rest will start at various times. You can find complete lists of the technology-related courses starting later in 2019 on Class Central’s Computer Science, Data Science, and Programming subject pages.

I understand this a long list and might be daunting for learners new to programming. In that case, you might find David Venturi’s recommendations for the best Data Science online courses useful — even if you’re not looking to learn Data Science. I hope to create more of these guides in the future.

And finally if you have trouble figuring out how to signup for Coursera courses for free, don’t worry — I’ve written an article on how to do that, too.

Beginner (153)

  • An Introduction to Interactive Programming in Python (Part 1) from Rice University ★★★★★(2909)
  • Introduction to Computer Science and Programming Using Python from Massachusetts Institute of Technology ★★★★★(99)
  • Learn to Program: The Fundamentals from University of Toronto ★★★★★(86)
  • Intro to Computer Science from University of Virginia ★★★★☆(61)
  • CS50’s Introduction to Computer Science from Harvard University ★★★★★(53)
  • Ruby on Rails: An Introduction from Johns Hopkins University ★★★☆☆(50)
  • Introduction to HTML5 from University of Michigan ★★★★☆(37)
  • Internet History, Technology, and Security from University of Michigan ★★★★★(35)
  • Introduction to Linux from Linux Foundation ★★★★☆(34)
  • How to Use Git and GitHub
  • [New] Programación Orientada a Objetos con Python from Universidad Austral
  • Intro to HTML and CSS
  • Introduction to VBA/Excel Programming from Cal Poly Pomona ★★★★☆(21)
  • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) from Hebrew University of Jerusalem ★★★★★(14)
  • Programming Basics from Indian Institute of Technology Bombay ★★☆☆☆(13)
  • Computer Science 101 from Stanford University ★★★★☆(11)
  • Introduction to CSS3 from University of Michigan ★★★★★(11)
  • Creative Programming for Digital Media & Mobile Apps from University of London International Programmes ★★★★☆(10)
  • HTML5 Coding Essentials and Best Practices from World Wide Web Consortium (W3C) ★★★★☆(9)
  • Introduction to Computer Networking from Stanford University ★★★★★(8)
  • Introduction to the Internet of Things and Embedded Systems from University of California, Irvine ★★★★☆(8)
  • Usable Security from University of Maryland, College Park ★★★☆☆(8)
  • Introduction to Bootstrap – A Tutorial from Microsoft ★★★☆☆(8)
  • Code Yourself! An Introduction to Programming from University of Edinburgh ★★★★☆(7)
  • HTML, CSS, and Javascript for Web Developers from Johns Hopkins University ★★★★★(6)
  • Learn to Program: Crafting Quality Code from University of Toronto ★★★★★(6)
  • Intro to Relational Databases
  • Paradigms of Computer Programming – Fundamentals from Université catholique de Louvain ★★★★★(4)
  • Paradigms of Computer Programming – Abstraction and Concurrency from Université catholique de Louvain ★★★★☆(4)
  • Introduction to jQuery from Microsoft ★★★★☆(4)
  • Programming in Scratch from Harvey Mudd College ★★★★★(4)
  • How To Create a Website in a Weekend! (Project-Centered Course) from State University of New York ★★★★★(3)
  • Introduction to Programming for the Visual Arts with p5.js from University of California, Los Angeles ★★★★☆(3)
  • HTML5 and CSS Fundamentals from World Wide Web Consortium (W3C) ★★★★☆(3)
  • Linux Command Line Basics
  • The Beauty and Joy of Computing – AP® CS Principles Part 1 from University of California, Berkeley ★★★★★(2)
  • Object-Oriented Programming from Indian Institute of Technology Bombay ★★★★☆(2)
  • The Computing Technology Inside Your Smartphone from Cornell University ★★★★★(2)
  • Introduction to HTML and JavaScript from Microsoft ★★★★★(2)
  • Think. Create. Code from University of Adelaide ★★★★★(2)
  • CS For All: Introduction to Computer Science and Python Programming from Harvey Mudd College ★★★★★(2)
  • Networks: Friends, Money, and Bytes from Princeton University ★★★☆☆(1)
  • Programando con Java para aplicaciones Android from Universidad Nacional Autónoma de México ★★★★★(1)
  • Android Basics: Make Your First App from Google ★★★★★(1)
  • Computing: Art, Magic, Science from ETH Zurich ★★★★☆(1)
  • MyCS: Computer Science for Beginners from Harvey Mudd College ★★★☆☆(1)
  • CS50’s Web Programming with Python and JavaScript from Harvard University
  • CS50’s Introduction to Game Development from Harvard University
  • CS50’s Computer Science for Business Professionals from Harvard University
  • CS50’s Understanding Technology from Harvard University
  • CS50’s Mobile App Development with React Native from Harvard University
  • Principles of Computing from Stanford University
  • Hacker Tools from Massachusetts Institute of Technology
  • The Beauty and Joy of Computing – AP® CS Principles Part 2 from University of California, Berkeley
  • Computational Thinking for Problem Solving from University of Pennsylvania
  • The Unix Workbench from Johns Hopkins University
  • JavaScript, jQuery, and JSON from University of Michigan
  • Building Database Applications in PHP from University of Michigan
  • Introduction to Structured Query Language (SQL) from University of Michigan
  • Programming Fundamentals from Duke University
  • Interacting with the System and Managing Memory from Duke University
  • Computer Science: Programming with a Purpose from Princeton University
  • Introduction to Computing using Python from Georgia Institute of Technology
  • Introduction to Cybersecurity from University of Washington
  • Python Programming Essentials from Rice University
  • Building Interactive 3D Characters and Social VR from University of London International Programmes
  • Introduction to Virtual Reality from University of London International Programmes
  • Introduction to Computer Programming from University of London International Programmes
  • How Computers Work from University of London International Programmes
  • How to Code: Simple Data from The University of British Columbia
  • Software Engineering: Introduction from The University of British Columbia
  • Introduction to Web Development from University of California, Davis
  • Введение в базы данных from St. Petersburg State Polytechnic University
  • Web Design: Strategy and Information Architecture from California Institute of the Arts
  • Web Development and Design using WordPress from California Institute of the Arts
  • Cyber Security Economics from Delft University of Technology
  • Scratch: Programmeren voor kinderen (8+) from Delft University of Technology
  • Excel/VBA for Creative Problem Solving, Part 2 from University of Colorado Boulder
  • Основы проектирования приложений интернета вещей from Moscow Institute of Physics and Technology
  • Тонкости верстки from Moscow Institute of Physics and Technology
  • Web Coding Fundamentals: HTML, CSS and Javascript from National University of Singapore
  • Android App Development for Beginners from Galileo University
  • Java Fundamentals for Android Development from Galileo University
  • Monetize your Android Applications from Galileo University
  • AP Computer Science A: Java Programming Loops and Data Structures from Purdue University
  • AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures from Purdue University
  • AP Computer Science A: Java Programming Classes and Objects from Purdue University
  • Introduction to TCP/IP from Yonsei University
  • Deep Learning for Business from Yonsei University
  • Cyber Security Basics: A Hands-on Approach from Universidad Carlos iii de Madrid
  • Problem Solving, Programming, and Video Games from University of Alberta
  • Introduzione a LaTeX from University of Modena and Reggio Emilia
  • Blockchain 360: A State of the Art for Professionals from EIT Digital
  • Technical Support Fundamentals from Google
  • Web Accessibility from Google
  • Mobile Web Development from Google
  • Object Oriented Programming in Java from Microsoft
  • CSS Basics from Microsoft
  • Introduction to NodeJS from Microsoft
  • Learn to Program in Java from Microsoft
  • Writing Professional Code from Microsoft
  • Introduction to Design Thinking from Microsoft
  • Introduction to ReactJS from Microsoft
  • Logic and Computational Thinking from Microsoft
  • How Entrepreneurs in Emerging Markets can master the Blockchain Technology from University of Cape Town
  • C Programming: Advanced Data Types from Dartmouth
  • C Programming: Language Foundations from Institut Mines-Télécom
  • C Programming: Pointers and Memory Management from Dartmouth
  • Linux Basics: The Command Line Interface from Dartmouth
  • C Programming: Using Linux Tools and Libraries from Dartmouth
  • C Programming: Modular Programming and Memory Management from Dartmouth
  • C Programming: Getting Started from Dartmouth
  • Software Design as an Element of the Software Development Lifecycle from University of Colorado System
  • TCP/IP and Advanced Topics from University of Colorado System
  • Software Design as an Abstraction from University of Colorado System
  • Proactive Computer Security from University of Colorado System
  • Computing: Art, Magic, Science – Part II from ETH Zurich
  • Introduction to Cybersecurity for Business from University of Colorado System
  • Software Design Methods and Tools from University of Colorado System
  • Introduction to Open Source Networking Technologies from Linux Foundation
  • Blockchain: Understanding Its Uses and Implications from Linux Foundation
  • Mobile Computing with App Inventor – CS Principles from The University of Warwick
  • Introducción a la programación en C: Instrucciones de control y ficheros de texto from Universidad Autónoma de Madrid
  • Introduction to the Internet of Things (IoT) from Curtin University
  • Software Engineering Essentials from Technische Universität München (Technical University of Munich)
  • Базы данных (Databases) from Saint Petersburg State University
  • Video Game Design and Balance from Rochester Institute of Technology
  • Web Security Fundamentals from KU Leuven University
  • Arduino Programming, from novice to ninja from Institut Mines-Télécom
  • Introduction to Cyber Attacks from New York University (NYU)
  • Cyber Attack Countermeasures from New York University (NYU)
  • Introdução à Ciência da Computação com Python Parte 2 from Universidade de São Paulo
  • Introdução à Ciência da Computação com Python Parte 1 from Universidade de São Paulo
  • Programación Orientada a Objetos from MéxicoX
  • Introduction to MongoDB from MongoDB University
  • Computing Form and Shape: Python Programming with the Rhinoscript Library from Rhode Island School of Design
  • Diseñando páginas web con Bootstrap 4 from Universidad Austral
  • HTTP & Web Servers
  • Version Control with Git from Atlassian
  • Version Control with Git
  • GitHub & Collaboration
  • ES6 – JavaScript Improved
  • Android for Beginners
  • Network Protocols and Architecture from Cisco
  • Learn Swift Programming Syntax
  • Introduction to Cisco Networking from Cisco
  • Home Networking Basics from Cisco
  • Data Communications and Network Services from Cisco
  • Swift for Beginners
  • Web Applications for Everybody
  • Introduction to Virtual Reality
  • Elements of AI from University of Helsinki
  • Internet Connection: How to Get Online? from Cisco
  • Machine Learning from Stanford University ★★★★★(261)
  • Functional Programming Principles in Scala from École Polytechnique Fédérale de Lausanne ★★★★★(58)
  • Algorithms, Part I from Princeton University ★★★★☆(48)
  • Cryptography I from Stanford University ★★★★★(45)
  • Programming Mobile Applications for Android Handheld Systems: Part 1 from University of Maryland, College Park ★★★★☆(38)
  • CS188.1x: Artificial Intelligence from University of California, Berkeley ★★★★★(30)
  • Principles of Computing (Part 1) from Rice University ★★★★★(26)
  • Software Security from University of Maryland, College Park ★★★★★(22)
  • Algorithms, Part II from Princeton University ★★★★★(21)
  • Responsive Website Basics: Code with HTML, CSS, and JavaScript from University of London International Programmes ★★★★☆(21)
  • Agile Development Using Ruby on Rails – The Basics from University of California, Berkeley ★★★★★(19)
  • Cloud Computing Concepts, Part 1 from University of Illinois at Urbana-Champaign ★★★☆☆(19)
  • Automata Theory from Stanford University ★★★★☆(17)
  • Programming Languages, Part A from University of Washington ★★★★★(17)
  • C++ For C Programmers, Part A from University of California, Santa Cruz ★★★☆☆(16)
  • Principles of Computing (Part 2) from Rice University ★★★★☆(15)
  • Programming Mobile Applications for Android Handheld Systems: Part 2 from University of Maryland, College Park ★★★★☆(15)
  • The Nature of Code from Processing Foundation ★★★★★(15)
  • Algorithmic Thinking (Part 1) from Rice University ★★★★☆(14)
  • Design of Computer Programs from Stanford University ★★★★☆(13)
  • Intro to Machine Learning from Stanford University ★★★★☆(12)
  • Algorithmic Toolbox from University of California, San Diego ★★★★☆(12)
  • Discrete Optimization from University of Melbourne ★★★★☆(12)
  • Responsive Web Design from University of London International Programmes ★★★☆☆(11)
  • Introduction to Game Development from Michigan State University ★★★★☆(11)
  • Introduction to Functional Programming from Delft University of Technology ★★★★☆(11)
  • Interactivity with JavaScript from University of Michigan ★★★★☆(10)
  • Introduction to Software Product Management from University of Alberta ★★★★☆(10)
  • Android Development for Beginners from Google ★★★★☆(10)
  • The Arduino Platform and C Programming from University of California, Irvine ★★★☆☆(9)
  • Algorithmic Thinking (Part 2) from Rice University ★★★★☆(9)
  • Programming Languages from University of Virginia ★★★☆☆(9)
  • Software Processes and Agile Practices from University of Alberta ★★★★☆(9)
  • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital from Duke University ★★★★☆(8)
  • Text Retrieval and Search Engines from University of Illinois at Urbana-Champaign ★★★☆☆(8)
  • Cryptography from University of Maryland, College Park ★★★★☆(8)
  • Advanced Styling with Responsive Design from University of Michigan ★★★★☆(7)
  • Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure from University of Illinois at Urbana-Champaign ★★★☆☆(7)
  • Software Testing from University of Utah ★★★★☆(7)
  • Internet of Things: How did we get here? from University of California, San Diego ★★☆☆☆(6)
  • Introduction To Swift Programming from University of Toronto ★☆☆☆☆(6)
  • Learning from Data (Introductory Machine Learning course) from California Institute of Technology ★★★★☆(6)
  • Client Needs and Software Requirements from University of Alberta ★★★★☆(6)
  • Responsive Web Design Fundamentals from Google ★★★★☆(6)
  • Intro to AJAX
  • Agile Development Using Ruby on Rails – Advanced from University of California, Berkeley ★★★★★(5)
  • Ruby on Rails Web Services and Integration with MongoDB from Johns Hopkins University ★★★★★(5)
  • Cloud Computing Concepts: Part 2 from University of Illinois at Urbana-Champaign ★★★★★(5)
  • Data Structures and Performance from University of California, San Diego ★★★★★(5)
  • Computer Graphics from University of California, San Diego ★★★★☆(5)
  • Web Application Development with JavaScript and MongoDB from University of London International Programmes ★★★★☆(5)
  • Introduction to Meteor.js Development from University of London International Programmes ★★★★★(5)
  • How to Code: Systematic Program Design – Part 1 from The University of British Columbia ★★★★☆(5)
  • Developing Android Apps from Google ★★★★☆(5)
  • Julia Scientific Programming from University of Cape Town ★★★★★(5)
  • Data Wrangling with MongoDB from MongoDB University ★★★★☆(5)
  • Parallel Programming Concepts
  • Intro to DevOps from Nutanix ★★★☆☆(5)
  • Intro to iOS App Development with Swift
  • Interfacing with the Arduino from University of California, Irvine ★★★★☆(4)
  • Algorithms on Strings from University of California, San Diego ★★★☆☆(4)
  • Analysis of Algorithms from Princeton University ★★★★★(4)
  • Computer Architecture from Princeton University ★★★★★(4)
  • Computer Networking from Georgia Institute of Technology ★★★★☆(4)
  • Software Development Process from Georgia Institute of Technology ★★★☆☆(4)
  • Cloud Networking from University of Illinois at Urbana-Champaign ★★★★☆(4)
  • HTML5 Game Development from Google ★★★☆☆(4)
  • Website Performance Optimization from Google ★★★★☆(4)
  • Practical Numerical Methods with Python from George Washington University ★★★★☆(4)
  • Database Management Essentials from University of Colorado System ★★★★☆(4)
  • Interactive Computer Graphics from The University of Tokyo ★★☆☆☆(4)
  • Software Debugging from Saarland University ★★★★★(4)
  • Software Construction in Java from Massachusetts Institute of Technology ★★★★★(3)
  • The Raspberry Pi Platform and Python Programming for the Raspberry Pi from University of California, Irvine ★★★★☆(3)
  • Foundations of Objective-C App Development from University of California, Irvine ★★★☆☆(3)
  • Data Structures from University of California, San Diego ★★★☆☆(3)
  • Networks Illustrated: Principles without Calculus from Princeton University ★★★★☆(3)
  • VLSI CAD Part I: Logic from University of Illinois at Urbana-Champaign ★★★★★(3)
  • Mastering the Software Engineering Interview from University of California, San Diego ★★★★☆(3)
  • Internet of Things: Setting Up Your DragonBoard™ Development Platform from University of California, San Diego ★★★☆☆(3)
  • Querying Data with Transact-SQL from Microsoft ★★★★☆(3)
  • DevOps for Developers: How to Get Started from Microsoft ★★★★☆(3)
  • Autonomous Mobile Robots from ETH Zurich ★★★☆☆(3)
  • Intro to Algorithms
  • Compilers from Stanford University ★★★★☆(2)
  • Mobile Application Experiences Part 1: From a Domain to an App Idea from Massachusetts Institute of Technology ★★★★★(2)
  • Rails with Active Record and Action Pack from Johns Hopkins University ★★★★☆(2)
  • Algorithms on Graphs from University of California, San Diego ★★★★☆(2)
  • Advanced Data Structures in Java from University of California, San Diego ★★★★☆(2)
  • Internet of Things: Communication Technologies from University of California, San Diego ★★★☆☆(2)
  • iOS App Development Basics from University of Toronto ★★★★☆(2)
  • App Design and Development for iOS from University of Toronto ★★★☆☆(2)
  • Game Development for Modern Platforms from Michigan State University ★★★★★(2)
  • Introduction to Mobile Application Development using Android from The Hong Kong University of Science and Technology ★★★★☆(2)
  • Agile Planning for Software Products from University of Alberta ★★★☆☆(2)
  • Browser Rendering Optimization from Google ★★★★☆(2)
  • UX Design for Mobile Developers from Google ★★★★★(2)
  • Analyzing and Visualizing Data with Power BI from Microsoft ★★★★★(2)
  • Developing International Software, Part 1 from Microsoft ★★★★☆(2)
  • Agile Software Development from ETH Zurich ★★★★★(2)
  • Build Your First Android App (Project-Centered Course) from École Centrale Paris ★★★☆☆(2)
  • Approximation Algorithms Part I from École normale supérieure ★★★★★(2)
  • Full Stack Foundations
  • JavaScript Testing
  • Configuring Linux Web Servers
  • Single Page Web Applications with AngularJS from Johns Hopkins University ★★★★★(1)
  • Interfacing with the Raspberry Pi from University of California, Irvine ★☆☆☆☆(1)
  • Best Practices for iOS User Interface Design from University of California, Irvine ★★★★★(1)
  • Machine Learning: Unsupervised Learning from Brown University ★★★★☆(1)
  • Advanced Algorithms and Complexity from University of California, San Diego ★★★☆☆(1)
  • Software Architecture & Design from Georgia Institute of Technology ★★★★★(1)
  • Responsive Website Tutorial and Examples from University of London International Programmes ★★★★★(1)
  • Managing an Agile Team from University of Virginia ★★☆☆☆(1)
  • MATLAB and Octave for Beginners from École Polytechnique Fédérale de Lausanne ★☆☆☆☆(1)
  • Web Application Development: Basic Concepts from University of New Mexico ★★★★☆(1)
  • Android: Introducción a la Programación from Universitat Politècnica de València ★★★★☆(1)
  • Algorithms from Indian Institute of Technology Bombay ★★★★★(1)
  • Gradle for Android and Java from Google ★★★★★(1)
  • Google Cloud Platform Fundamentals: Core Infrastructure from Google ★★★★☆(1)
  • Android Basics: Multiscreen Apps from Google ★★★★☆(1)
  • Developing Scalable Apps in Java from Google ★★★★☆(1)
  • JavaScript Promises from Google ★★★★★(1)
  • Developing Scalable Apps in Python from Google ★★★★☆(1)
  • Principles of Machine Learning from Microsoft ★★★★★(1)
  • 用Python玩转数据 Data Processing Using Python from Nanjing University ★★★★★(1)
  • Cybersecurity and Mobility from University System of Georgia ★☆☆☆☆(1)
  • Technical Interview from Pramp ★★★★★(1)
  • HTML5 Apps and Games from World Wide Web Consortium (W3C) ★★★☆☆(1)
  • Networking for Web Developers
  • Intro to Theoretical Computer Science
  • Using Python for Research from Harvard University
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them from Stanford University
  • Algorithms: Design and Analysis, Part 2 from Stanford University
  • Probabilistic Graphical Models 3: Learning from Stanford University
  • Algorithms: Design and Analysis from Stanford University
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford University
  • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford University
  • Graph Search, Shortest Paths, and Data Structures from Stanford University
  • Language, Proof and Logic from Stanford University
  • Advanced Software Construction in Java from Massachusetts Institute of Technology
  • Computation Structures 2: Computer Architecture from Massachusetts Institute of Technology
  • Computational Thinking for Modeling and Simulation from Massachusetts Institute of Technology
  • Mobile Application Experiences from Massachusetts Institute of Technology
  • Mobile Application Experiences Part 3: Building Mobile Apps from Massachusetts Institute of Technology
  • Foundations of Data Science: Prediction and Machine Learning from University of California, Berkeley
  • Bitcoin and Cryptocurrencies from University of California, Berkeley
  • Blockchain Technology from University of California, Berkeley
  • Algorithm Design and Analysis from University of Pennsylvania
  • Data Structures and Software Design from University of Pennsylvania
  • Introduction to Neurohacking In R from Johns Hopkins University
  • Games, Sensors and Media from University of California, Irvine
  • Toward the Future of iOS Development with Swift from University of California, Irvine
  • Networking and Security in iOS Applications from University of California, Irvine
  • Building Web Applications in PHP from University of Michigan
  • Java Programming: Build a Recommendation System from Duke University
  • Introduction to Machine Learning from Duke University
  • Computer Science: Algorithms, Theory, and Machines from Princeton University
  • Introduction to Graduate Algorithms from Georgia Institute of Technology
  • Database Systems Concepts & Design from Georgia Institute of Technology
  • Database Systems Concepts and Design from Georgia Institute of Technology
  • Software Analysis & Testing from Georgia Institute of Technology
  • Animation and CGI Motion from Columbia University
  • Data Analytics Foundations for Accountancy II from University of Illinois at Urbana-Champaign
  • Internet of Things: Sensing and Actuation From Devices from University of California, San Diego
  • Algorithmic Design and Techniques from University of California, San Diego
  • Graph Algorithms from University of California, San Diego
  • How Virtual Reality Works from University of California, San Diego
  • Machine Learning Fundamentals from University of California, San Diego
  • Data Structures: An Active Learning Approach from University of California, San Diego
  • Creating Virtual Reality (VR) Apps from University of California, San Diego
  • Minecraft, Coding and Teaching from University of California, San Diego
  • Data Structures Fundamentals from University of California, San Diego
  • String Processing and Pattern Matching Algorithms from University of California, San Diego
  • Cybersecurity: The CISO’s View from University of Washington
  • Programming Languages, Part C from University of Washington
  • Programming Languages, Part B from University of Washington
  • Finding Your Cybersecurity Career Path from University of Washington
  • Building a Cybersecurity Toolkit from University of Washington
  • Mathematics for Computer Science from University of London International Programmes
  • 3D Models for Virtual Reality from University of London International Programmes
  • Blockchain Basics from University at Buffalo
  • Blockchain Platforms from University at Buffalo
  • Smart Contracts from University at Buffalo
  • Decentralized Applications (Dapps) from University at Buffalo
  • 面向对象技术高级课程(The Advanced Object-Oriented Technology) from Peking University
  • 算法设计与分析 Design and Analysis of Algorithms from Peking University
  • Software Construction: Object-Oriented Design from The University of British Columbia
  • How to Code: Systematic Program Design – Part 3 from The University of British Columbia
  • Software Construction: Data Abstraction from The University of British Columbia
  • How to Code: Systematic Program Design – Part 2 from The University of British Columbia
  • How to Code: Complex Data from The University of British Columbia
  • Testing with Agile from University of Virginia
  • Running Product Design Sprints from University of Virginia
  • NoSQL Database Systems from Arizona State University
  • SQL for Data Science from University of California, Davis
  • LAFF – On Programming for Correctness from The University of Texas at Austin
  • Документы и презентации в LaTeX (Introduction to LaTeX) from Higher School of Economics
  • Lean Software Development from University of Minnesota
  • Software Development Processes and Methodologies from University of Minnesota
  • Agile Software Development from University of Minnesota
  • Android App Components – Intents, Activities, and Broadcast Receivers from Vanderbilt University
  • Engineering Maintainable Android Apps from Vanderbilt University
  • Android App Components – Services, Local IPC, and Content Providers from Vanderbilt University
  • Front-End Web Development with React from The Hong Kong University of Science and Technology
  • Server-side Development with NodeJS, Express and MongoDB from The Hong Kong University of Science and Technology
  • Multiplatform Mobile App Development with NativeScript from The Hong Kong University of Science and Technology
  • Multiplatform Mobile App Development with React Native from The Hong Kong University of Science and Technology
  • Front-End Web UI Frameworks and Tools: Bootstrap 4 from The Hong Kong University of Science and Technology
  • Front-End JavaScript Frameworks: Angular from The Hong Kong University of Science and Technology
  • Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova from The Hong Kong University of Science and Technology
  • Developing Android Apps with App Inventor from The Hong Kong University of Science and Technology
  • Automated Software Testing: Advanced Skills for Java Developers from Delft University of Technology
  • Global Software Development from Delft University of Technology
  • Automated Software Testing: Practical Skills for Java Developers from Delft University of Technology
  • Быстрый старт в разработке Android-приложений from Moscow Institute of Physics and Technology
  • Введение в iOS-разработку from Moscow Institute of Physics and Technology
  • Основы HTML и CSS from Moscow Institute of Physics and Technology
  • Разработка веб-сервисов на Golang, часть 2 from Moscow Institute of Physics and Technology
  • Building Arduino robots and devices from Moscow Institute of Physics and Technology
  • NoSQL systems from Universidad Nacional Autónoma de México
  • Fundamentos de Android from Universidad Nacional Autónoma de México
  • Relational database systems from Universidad Nacional Autónoma de México
  • Foundations of Data Structures from Indian Institute of Technology Bombay
  • Implementation of Data Structures from Indian Institute of Technology Bombay
  • Professional Android App Development from Galileo University
  • Сетевое администрирование: от теории к практике from Tsinghua University
  • Использование механизмов операционных систем в разработке программного обеспечения from National Research Nuclear University MEPhI
  • Enterprise Software Lifecycle Management from National Research Nuclear University MEPhI
  • The Software Architect Code: Building the Digital World from Universidad Carlos iii de Madrid
  • Introduction to Java Programming: Fundamental Data Structures and Algorithms from Universidad Carlos iii de Madrid
  • Reviews & Metrics for Software Improvements from University of Alberta
  • Software Architecture from University of Alberta
  • Service-Oriented Architecture from University of Alberta
  • Object-Oriented Design from University of Alberta
  • Design Patterns from University of Alberta
  • Software Architecture for the Internet of Things from EIT Digital
  • Web Connectivity and Security in Embedded Systems from EIT Digital
  • Architecting Smart IoT Devices from EIT Digital
  • Introduction to Architecting Smart IoT Devices from EIT Digital
  • Android Performance from Google
  • Advanced Android App Development from Google
  • Material Design for Android Developers from Google
  • Developing Android Apps with Kotlin from Google
  • Firebase Essentials For Android from Google
  • Offline Web Applications from Google
  • Scalable Microservices with Kubernetes from Google
  • Intro to Progressive Web Apps from Google
  • Google Maps APIs from Google
  • Client-Server Communication from Google
  • Google Cloud Platform Fundamentals for AWS Professionals from Google Cloud
  • Android Basics: Networking from Google
  • Android Basics: Button Clicks from Google
  • Android Basics: User Interface from Google
  • Android Basics: User Input from Google
  • VR Software Development from Google
  • Intro to Data Structures and Algorithms from Google
  • Algorithms and Data Structures from Microsoft
  • Algorithms and Data Structures in C# from Microsoft
  • AngularJS: Framework Fundamentals from Microsoft
  • Advanced CSS Concepts from Microsoft
  • Introduction to TypeScript 2 from Microsoft
  • Building Interactive Prototypes using JavaScript from Microsoft
  • Building Functional Prototypes using Node.js from Microsoft
  • Creating Programmatic SQL Database Objects from Microsoft
  • AngularJS: Advanced Framework Techniques from Microsoft
  • Introduction to C# from Microsoft
  • Application Design Considerations: An Inclusive Approach from Microsoft
  • Implementing In-Memory SQL Database Objects from Microsoft
  • Designing Data Platform Solutions from Microsoft
  • Developing Intelligent Apps and Bots from Microsoft
  • Applied Machine Learning from Microsoft
  • Optimizing Performance for SQL Based Applications from Microsoft
  • Developing SQL Databases from Microsoft
  • Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course) from Hebrew University of Jerusalem
  • Programmation iOS (partie II) from Sorbonne Universités
  • Programmation iOS (partie I) from Sorbonne Universités
  • Introduction to Data Structures from University of Adelaide
  • Fundamentals of Machine Learning from Santa Fe Institute
  • Introduction to Computation Theory from Santa Fe Institute
  • Requirements Specifications: Goals and Conflict Analysis from University of Colorado System
  • Homeland Security & Cybersecurity Connection – It’s Not About the Terrorists from University of Colorado System
  • Requirements Elicitation: Artifact and Stakeholder Analysis from University of Colorado System
  • Software Requirements Prioritization: Risk Analysis from University of Colorado System
  • More C# Programming and Unity from University of Colorado System
  • SRS Documents: Requirements and Diagrammatic Notations from University of Colorado System
  • Linux Server Management and Security from University of Colorado System
  • Intermediate Object-Oriented Programming for Unity Games from University of Colorado System
  • Cloud Computing Security from University of Colorado System
  • Hacking and Patching from University of Colorado System
  • Fundamentals of Network Communication from University of Colorado System
  • Design and Analyze Secure Networked Systems from University of Colorado System
  • Detecting and Mitigating Cyber Threats and Attacks from University of Colorado System
  • Requirements Gathering for Secure Software Development from University of Colorado System
  • Peer-to-Peer Protocols and Local Area Networks from University of Colorado System
  • Symmetric Cryptography from University of Colorado System
  • Asymmetric Cryptography and Key Management from University of Colorado System
  • Packet Switching Networks and Algorithms from University of Colorado System
  • Software Design Threats and Mitigations from University of Colorado System
  • Basic Cryptography and Programming with Crypto API from University of Colorado System
  • Data Structures and Design Patterns for Game Developers from University of Colorado System
  • Introduction to C# Programming and Unity from University of Colorado System
  • Introduction to Web Cartography: Part 1 from ETH Zurich
  • Introduction to Cloud Infrastructure Technologies from Linux Foundation
  • Introduction to DevOps: Transforming and Improving Operations from Linux Foundation
  • Machine Learning for Musicians and Artists from Goldsmiths, University of London
  • 2D Game Development with libGDX from Amazon
  • Introduction to Kubernetes from Linux Foundation
  • Cybersecurity and the Internet of Things from University System of Georgia
  • Cybersecurity and the X-Factor from University System of Georgia
  • Cybersecurity and Privacy in the IoT from Curtin University
  • Mobile Design and Usability for Android from Facebook
  • Mobile Design and Usability for iOS from Facebook
  • Web App Development with the Power of Node.js from Technische Universität München (Technical University of Munich)
  • IoT System Architecture: Design and Evaluation from Waseda University
  • Orientação a Objetos com Java from Instituto Tecnológico de Aeronáutica
  • Cybersecurity Fundamentals from Rochester Institute of Technology
  • Guided Tour of Machine Learning in Finance from New York University (NYU)
  • A Developer’s guide to Node-RED from IBM
  • Fundamentals of Machine Learning in Finance from New York University (NYU)
  • Overview of Advanced Methods of Reinforcement Learning in Finance from New York University (NYU)
  • Real-Time Cyber Threat Detection and Mitigation from New York University (NYU)
  • UML Class Diagrams for Software Engineering from KU Leuven University
  • Advanced Algorithmics and Graph Theory with Python from Institut Mines-Télécom
  • Gameplay Programming for Video Game Designers from Rochester Institute of Technology
  • Teamwork & Collaboration from Rochester Institute of Technology
  • Introdução ao Teste de Software from Universidade de São Paulo
  • Programming for Everyone – An Introduction to Visual Programming Languages from Weizmann Institute of Science
  • Concurrency from AdaCore University
  • How to Win Coding Competitions: Secrets of Champions from ITMO University
  • Software Testing Management from University System of Maryland
  • Formal Software Verification from University System of Maryland
  • Cloud Computing Infrastructure from University System of Maryland
  • Cloud Computing Management from University System of Maryland
  • Software Testing Fundamentals from University System of Maryland
  • Desarrollo de Aplicaciones Mobile Multiplataforma con Nativescript, Angular y Redux from Universidad Austral
  • Cloud Computing for Enterprises from University System of Maryland
  • Dynamic Web Applications with Sinatra
  • Designing RESTful APIs
  • Foundations of Machine Learning from Bloomberg
  • Fundamentals of Parallelism on Intel Architecture from Intel
  • Learn Backbone.js
  • How to create in Android
  • Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla from Universidad del Rosario
  • How to Make an iOS App
  • iOS Persistence and Core Data
  • iOS Networking with Swift
  • UIKit Fundamentals
  • Deploying Applications with Heroku
  • Intro to TensorFlow for Deep Learning
  • Android Basics: Data Storage
  • VR Scenes and Objects
  • Hacker101 from HackerOne
  • Swift for Developers
  • Building iOS Interfaces
  • iOS Design Patterns
  • Developing Android Apps
  • Introduction: Elements of Microgame Design from Worcester Polytechnic Institute
  • VR Design
  • VR Platforms & Applications
  • Fundamentals of Red Hat Enterprise Linux from Red Hat
  • Fundamentals of Containers, Kubernetes, and Red Hat OpenShift from Red Hat
  • SQL for Data Analysis
  • An Introduction to Practical Deep Learning from Intel

Advanced (137)

  • Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(38)
  • [New] Machine Learning with Python: from Linear Models to Deep Learning from Massachusetts Institute of Technology
  • Machine Learning: Regression from University of Washington ★★★★★(18)
  • Machine Learning for Data Science and Analytics from Columbia University ★★★☆☆(15)
  • Probabilistic Graphical Models 1: Representation from Stanford University ★★★★☆(14)
  • Intro to Deep Learning from Google ★★☆☆☆(13)
  • Creative Applications of Deep Learning with TensorFlow
  • Machine Learning With Big Data from University of California, San Diego ★★☆☆☆(12)
  • Machine Learning for Trading from Georgia Institute of Technology ★★★☆☆(11)
  • Hardware Security from University of Maryland, College Park ★★★☆☆(11)
  • Bitcoin and Cryptocurrency Technologies from Princeton University ★★★★☆(10)
  • Introduction to Artificial Intelligence from Stanford University ★★★★★(9)
  • Computational Neuroscience from University of Washington ★★★★☆(8)
  • Reinforcement Learning from Brown University ★★☆☆☆(6)
  • Machine Learning: Classification from University of Washington ★★★★★(6)
  • Intro to Parallel Programming from Nvidia ★★★★☆(6)
  • Advanced Operating Systems from Georgia Institute of Technology ★★★★★(5)
  • Enabling Technologies for Data Science and Analytics: The Internet of Things from Columbia University ★☆☆☆☆(5)
  • Interactive 3D Graphics from Autodesk ★★★★★(5)
  • Machine Learning from Georgia Institute of Technology ★★★★★(4)
  • Applied Cryptography from University of Virginia ★★★★☆(4)
  • Parallel programming from École Polytechnique Fédérale de Lausanne ★★★★☆(4)
  • Introduction to Computer Architecture from Carnegie Mellon University ★★★★★(4)
  • Probabilistic Graphical Models 2: Inference from Stanford University ★★★★☆(3)
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  • Practical Predictive Analytics: Models and Methods from University of Washington ★★☆☆☆(3)
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  • Introduction to Operating Systems from Georgia Institute of Technology ★★★★★(1)
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  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud from University of Illinois at Urbana-Champaign ★★★★☆(1)
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  • Practical Deep Learning For Coders, Part 1 from fast.ai ★★★★★(1)
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  • Real-Time Audio Signal Processing in Faust from Stanford University
  • Sequence Models from deeplearning.ai
  • 6.S191: Introduction to Deep Learning from Massachusetts Institute of Technology
  • 6.S094: Deep Learning for Self-Driving Cars from Massachusetts Institute of Technology
  • Computation Structures 3: Computer Organization from Massachusetts Institute of Technology
  • Applied Machine Learning in Python from University of Michigan
  • GT – Refresher – Advanced OS from Georgia Institute of Technology
  • Machine Learning from Georgia Institute of Technology
  • Network Security from Georgia Institute of Technology
  • High Performance Computing from Georgia Institute of Technology
  • Artificial Intelligence from Georgia Institute of Technology
  • Compilers: Theory and Practice from Georgia Institute of Technology
  • Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology
  • Cyber-Physical Systems Security from Georgia Institute of Technology
  • Machine Learning from Georgia Institute of Technology
  • Intro to Information Security from Georgia Institute of Technology
  • Cyber-Physical Systems Design & Analysis from Georgia Institute of Technology
  • Machine Learning from Columbia University
  • NP-Complete Problems from University of California, San Diego
  • Distributed Programming in Java from Rice University
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  • Parallel Programming in Java from Rice University
  • Making Your First Virtual Reality Game from University of London International Programmes
  • Information Security: Context and Introduction from University of London International Programmes
  • Quantum Machine Learning from University of Toronto
  • State Estimation and Localization for Self-Driving Cars from University of Toronto
  • Solving Algorithms for Discrete Optimization from University of Melbourne
  • Basic Modeling for Discrete Optimization from University of Melbourne
  • Advanced Modeling for Discrete Optimization from University of Melbourne
  • MATLAB et Octave pour débutants from École Polytechnique Fédérale de Lausanne
  • Nature, in Code: Biology in JavaScript from École Polytechnique Fédérale de Lausanne
  • Bayesian Methods for Machine Learning from Higher School of Economics
  • Practical Reinforcement Learning from Higher School of Economics
  • Deep Learning in Computer Vision from Higher School of Economics
  • Introduction to Formal Concept Analysis from Higher School of Economics
  • Introduction to Deep Learning from Higher School of Economics
  • Методы и средства защиты информации from Higher School of Economics
  • Менеджмент информационной безопасности from Higher School of Economics
  • Обработка изображений from Higher School of Economics
  • Addressing Large Hadron Collider Challenges by Machine Learning from Higher School of Economics
  • Matrix Factorization and Advanced Techniques from University of Minnesota
  • Recommender Systems: Evaluation and Metrics from University of Minnesota
  • Introduction to Recommender Systems: Non-Personalized and Content-Based from University of Minnesota
  • Embedded Software and Hardware Architecture from University of Colorado Boulder
  • Modeling and Debugging Embedded Systems from University of Colorado Boulder
  • Razonamiento artificial from Universidad Nacional Autónoma de México
  • Sesenta años de inteligencia artificial from Universidad Nacional Autónoma de México
  • 機器學習基石下 (Machine Learning Foundations)—Algorithmic Foundations from National Taiwan University
  • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence – Search & Logic) from National Taiwan University
  • 大数据机器学习|Big Data Machine Learning from Tsinghua University
  • Discrete Mathematics from Shanghai Jiao Tong University
  • Introducción a la visión por computador: desarrollo de aplicaciones con OpenCV from Universidad Carlos iii de Madrid
  • Approximation Algorithms from EIT Digital
  • System Validation: Automata and behavioural equivalences from EIT Digital
  • Embedded Hardware and Operating Systems from EIT Digital
  • System Validation (2): Model process behaviour from EIT Digital
  • System Validation (3): Requirements by modal formulas from EIT Digital
  • System Validation (4): Modelling Software, Protocols, and other behaviour from EIT Digital
  • Machine Learning Crash Course with TensorFlow APIs from Google
  • Learn TensorFlow and deep learning, without a Ph.D. from Google
  • DevOps for Databases from Microsoft
  • Infrastructure as Code from Microsoft
  • DevOps Practices and Principles from Microsoft
  • Introduction to Artificial Intelligence (AI) from Microsoft
  • Deep Learning Explained from Microsoft
  • DevOps Testing from Microsoft
  • Sparse Representations in Signal and Image Processing: Fundamentals from Technion – Israel Institute of Technology
  • Sparse Representations in Image Processing: From Theory to Practice from Technion – Israel Institute of Technology
  • Cyber-Physical Systems: Modeling and Simulation from University of California, Santa Cruz
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  • Cryptographic Hash and Integrity Protection from University of Colorado System
  • Classical Cryptosystems and Core Concepts from University of Colorado System
  • Introduction to Cloud Foundry and Cloud Native Software Architecture from Linux Foundation
  • Blockchain for Business – An Introduction to Hyperledger Technologies from Linux Foundation
  • Introduction to OpenStack from Linux Foundation
  • Approximation Algorithms Part II from École normale supérieure
  • Reliable Distributed Algorithms, Part 2 from KTH Royal Institute of Technology
  • Mathematics for Machine Learning: Linear Algebra from Imperial College London
  • Mathematics for Machine Learning: PCA from Imperial College London
  • Computer System Design: Advanced Concepts of Modern Microprocessors from Chalmers University of Technology
  • Reinforcement Learning in Finance from New York University (NYU)
  • Deep Learning with Python and PyTorch from IBM
  • Deep Learning with Tensorflow from IBM
  • Deep Learning for Natural Language Processing from University of Oxford
  • Cutting Edge Deep Learning For Coders, Part 2 from fast.ai
  • Cloud Computing Security from University System of Maryland
  • Introduction to Machine Learning for Coders! from fast.ai
  • Security Operations and Administration from (ISC)²
  • Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery from (ISC)²
  • Access Controls from (ISC)²
  • Big Data Applications: Machine Learning at Scale from Yandex
  • Deep Learning Summer School
  • Networks and Communications Security from (ISC)²
  • Systems and Application Security from (ISC)²
  • Convolutional Neural Networks in TensorFlow from deeplearning.ai
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from deeplearning.ai
  • Continuous Integration and Deployment