700 Free Online Programming & Computer Science Courses You Can Start This September

Nine years ago, universities like MIT and Stanford first opened up free online courses to the public. Today, close to 1,000 schools around the world have created thousands of free online courses.

I’ve compiled this list of 700 such free online courses that you can start this month. For this, I leveraged Class Central’s database of over 50,000 online courses. I’ve also included each course’s average rating.

Class Central's homepage screenshot
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 throughout the year. You can find complete lists of the technology-related courses starting later in 2021 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 (207)

  • An Introduction to Interactive Programming in Python (Part 1) from Rice University ★★★★★(3305)
  • Elements of AI from University of Helsinki ★★★★★(669)
  • Unlocking Information Security I: From Cryptography to Buffer Overflows from Tel Aviv University ★★★★★(251)
  • CS50’s Introduction to Computer Science from Harvard University ★★★★★(108)
  • Learn to Program: The Fundamentals from University of Toronto ★★★★★(108)
  • Computational Social Science Methods from University of California, Davis ★★★★★(79)
  • Introduction to HTML5 from University of Michigan ★★★★☆(47)
  • Unlocking Information Security II: An Internet Perspective from Tel Aviv University ★★★★★(47)
  • Internet History, Technology, and Security from University of Michigan ★★★★★(41)
  • Introduction to Linux from Linux Foundation ★★★★☆(37)
  • Intro to HTML and CSS
  • Fundamentos TIC para profesionales de negocios: Desarrollo de Software from Universitat Politècnica de València ★★★★☆(26)
  • [New] Relational Database Administration (DBA) from IBM
  • [New] Introduction to Web Development with HTML, CSS, JavaScript from IBM
  • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) from Hebrew University of Jerusalem ★★★★★(25)
  • [New] Introduction to Blockchain Technology and Applications from University College London
  • [New] Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems from University of York
  • Web Security Fundamentals from KU Leuven University ★★★★☆(22)
  • Introduction to Cyber Security from The Open University ★★★★☆(21)
  • HTML, CSS, and Javascript for Web Developers from Johns Hopkins University ★★★★★(19)
  • Computer Science 101 from Stanford University ★★★★☆(18)
  • Programming Basics from Indian Institute of Technology Bombay ★★☆☆☆(16)
  • Fundamentos TIC para profesionales de negocios: Aplicaciones empresariales from Universitat Politècnica de València ★★★★★(16)
  • Introduction to CSS3 from University of Michigan ★★★★★(13)
  • Diagramas UML estructurales para la Ingeniería del Software from Universitat Politècnica de València ★★★★★(13)
  • Introduction to the Internet of Things and Embedded Systems from University of California, Irvine ★★★★☆(12)
  • Code Yourself! An Introduction to Programming from University of Edinburgh ★★★★☆(12)
  • Getting Started with AWS Machine Learning from Amazon Web Services ★★★★☆(12)
  • CS50’s Web Programming with Python and JavaScript from Harvard University ★★★★★(11)
  • Creative Programming for Digital Media & Mobile Apps from University of London International Programmes ★★★★☆(11)
  • Unix Tools: Data, Software and Production Engineering from Delft University of Technology ★★★★★(11)
  • Introduction to Networking from New York University (NYU) ★★★★☆(11)
  • HTML5 Coding Essentials and Best Practices from World Wide Web Consortium (W3C) ★★★★☆(11)
  • Introduction to Programming for the Visual Arts with p5.js from University of California, Los Angeles ★★★★★(10)
  • Learn to Program: Crafting Quality Code from University of Toronto ★★★★☆(9)
  • Usable Security from University of Maryland, College Park ★★★☆☆(9)
  • Linux Command Line Basics
  • Begin Programming: Build Your First Mobile Game from University of Reading ★★★★☆(8)
  • Technical Support Fundamentals from Google ★★★☆☆(8)
  • Intro to Relational Databases
  • CS50’s Understanding Technology from Harvard University ★★★★★(6)
  • How To Create a Website in a Weekend! (Project-Centered Course) from State University of New York ★★★★☆(6)
  • HTML5 and CSS Fundamentals from World Wide Web Consortium (W3C) ★★★★☆(6)
  • Paradigms of Computer Programming – Fundamentals from Université catholique de Louvain ★★★★★(5)
  • Paradigms of Computer Programming – Abstraction and Concurrency from Université catholique de Louvain ★★★★☆(5)
  • Introducción a la programación en C: Instrucciones de control y ficheros de texto from Universidad Autónoma de Madrid ★★★★★(5)
  • Web Coding Fundamentals: HTML, CSS and Javascript from National University of Singapore ★★★★★(5)
  • Learn to Program in Java from Microsoft ★★★★☆(5)
  • Basics of Computing and Programming from New York University (NYU) ★★★★☆(5)
  • Version Control with Git from Atlassian ★★★★★(5)
  • Introduction to Computing using Python from Georgia Institute of Technology ★★★★★(4)
  • Problem Solving, Python Programming, and Video Games from University of Alberta ★★★★★(4)
  • The Computing Technology Inside Your Smartphone from Cornell University ★★★★★(4)
  • Computer Hardware and Operating Systems from New York University (NYU) ★★★★★(4)
  • Programming in Scratch from Harvey Mudd College ★★★★★(4)
  • CS50’s Computer Science for Business Professionals from Harvard University ★★★★★(3)
  • Networks: Friends, Money, and Bytes from Princeton University ★★★★☆(3)
  • Introduction to Web Development from University of California, Davis ★★★★☆(3)
  • Computer Programming for Everyone from University of Leeds ★★☆☆☆(3)
  • Web Development and Design using WordPress from California Institute of the Arts ★★★★☆(3)
  • Object-Oriented Programming from Indian Institute of Technology Bombay ★★★☆☆(3)
  • C Programming: Modular Programming and Memory Management from Dartmouth College ★★★☆☆(3)
  • C for Everyone: Programming Fundamentals from University of California, Santa Cruz ★★★★☆(3)
  • CS For All: Introduction to Computer Science and Python Programming from Harvey Mudd College ★★★★★(3)
  • Web Applications for Everybody
  • CS50’s Introduction to Artificial Intelligence with Python from Harvard University ★★★★★(2)
  • The Unix Workbench from Johns Hopkins University ★★★★☆(2)
  • Python Programming Essentials from Rice University ★★★★★(2)
  • Web Design: Strategy and Information Architecture from California Institute of the Arts ★★★★★(2)
  • Introduction to Software Testing from University of Minnesota ★★★★★(2)
  • Introduzione all’informatica from University of Naples Federico II ★★★★★(2)
  • Introduction to the Internet of Things (IoT) from Curtin University ★★★☆☆(2)
  • C Programming: Using Linux Tools and Libraries from Dartmouth College ★★★★★(2)
  • Linux Basics: The Command Line Interface from Dartmouth College ★★★★★(2)
  • C Programming: Language Foundations from Institut Mines-Télécom ★★★★★(2)
  • C Programming: Pointers and Memory Management from Dartmouth College ★★★★★(2)
  • Think. Create. Code from University of Adelaide ★★★★★(2)
  • Introduction to Database Queries from New York University (NYU) ★★★★★(2)
  • Software Engineering Essentials from Technische Universität München (Technical University of Munich) ★★★★☆(2)
  • Introducción a la programación en Python I: Aprendiendo a programar con Python from Pontificia Universidad Católica de Chile ★★★★★(2)
  • Version Control with Git
  • CS50’s AP® Computer Science Principles from Harvard University ★★★★★(1)
  • CS50’s Mobile App Development with React Native from Harvard University ★★★★☆(1)
  • CS50’s Computer Science for Lawyers from Harvard University ★★★★★(1)
  • Building Database Applications in PHP from University of Michigan ★★★★★(1)
  • Introduction to Structured Query Language (SQL) from University of Michigan ★★★★★(1)
  • Building Web Applications in Django from University of Michigan ★★★★★(1)
  • Computer Science: Programming with a Purpose from Princeton University ★★★★★(1)
  • How Computers Work from University of London International Programmes ★★★★★(1)
  • Introduction to Computer Programming from University of London International Programmes ★★★★★(1)
  • Software Engineering: Introduction from The University of British Columbia ★★★★★(1)
  • Programming with Scratch from The Hong Kong University of Science and Technology ★★☆☆☆(1)
  • Cyber Security Economics from Delft University of Technology ★★☆☆☆(1)
  • TCP/IP and Advanced Topics from University of Colorado System ★★★★☆(1)
  • Proactive Computer Security from University of Colorado System ★★★★★(1)
  • Introduction to Cybersecurity for Business from University of Colorado System ★★★★☆(1)
  • Introduction à la programmation orientée objet (en Java) from École Polytechnique Fédérale de Lausanne ★★★★★(1)
  • LaTeX for Students, Engineers, and Scientists from Indian Institute of Technology Bombay ★★★★☆(1)
  • Introdução à Ciência da Computação com Python Parte 1 from Universidade de São Paulo ★★★★★(1)
  • How Entrepreneurs in Emerging Markets can master the Blockchain Technology from University of Cape Town ★★★★★(1)
  • Introduction to Cloud Computing from IBM ★★★★★(1)
  • Lernen objekt-orientierter Programmierung from Technische Universität München (Technical University of Munich) ★★★★★(1)
  • Computing Form and Shape: Python Programming with the Rhinoscript Library from Rhode Island School of Design ★★★★★(1)
  • Diseño Web con HTML5 + CSS from Universitas Telefónica ★☆☆☆☆(1)
  • Data Privacy Fundamentals from Northeastern University ★★★★★(1)
  • ES6 – JavaScript Improved
  • MongoDB Basics
  • Deploying TinyML from Harvard University
  • Applications of TinyML from Harvard University
  • CS50’s Introduction to Game Development from Harvard University
  • Databases: OLAP and Recursion from Stanford University
  • Databases: Semistructured Data from Stanford University
  • Databases: Modeling and Theory from Stanford University
  • Hacker Tools from Massachusetts Institute of Technology
  • Computational Thinking for Problem Solving from University of Pennsylvania
  • Cryptocurrency and Blockchain: An Introduction to Digital Currencies from University of Pennsylvania
  • JSON and Natural Language Processing in PostgreSQL from University of Michigan
  • Blockchain and Cryptocurrency Explained from University of Michigan
  • Django Features and Libraries from University of Michigan
  • Database Architecture, Scale, and NoSQL with Elasticsearch from University of Michigan
  • Database Design and Basic SQL in PostgreSQL from University of Michigan
  • Web Application Technologies and Django from University of Michigan
  • Using JavaScript, jQuery, and JSON in Django from University of Michigan
  • Intermediate PostgreSQL from University of Michigan
  • Web Application Technologies and Django from University of Michigan
  • JavaScript, jQuery, and JSON from University of Michigan
  • Using JavaScript, JQuery, and JSON in Django from University of Michigan
  • The Blockchain from University of California, Irvine
  • The Blockchain System from University of California, Irvine
  • The Beauty and Joy of Computing – AP® CS Principles Part 2 from University of California, Berkeley
  • The Beauty and Joy of Computing (CS Principles), Part 3 from University of California, Berkeley
  • The Beauty and Joy of Computing (CS Principles), Part 4 from University of California, Berkeley
  • Interacting with the System and Managing Memory from Duke University
  • Cloud Computing Foundations from Duke University
  • Programming Fundamentals from Duke University
  • Introduction to Cybersecurity from University of Washington
  • Introduction to Internationalization and Localization from University of Washington
  • Building Interactive 3D Characters and Social VR from University of London International Programmes
  • Coding for Designers, Managers, & Entrepreneurs I from University of Virginia
  • Artificial Intelligence in Marketing from University of Virginia
  • Coding for Designers, Managers, & Entrepreneurs II from University of Virginia
  • Coding for Designers, Managers, & Entrepreneurs III from University of Virginia
  • Principles of Secure Coding from University of California, Davis
  • Identifying Security Vulnerabilities from University of California, Davis
  • Введение в базы данных from St. Petersburg State Polytechnic University
  • Cloud Security Basics from University of Minnesota
  • 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
  • Cybersecurity for Everyone from University of Maryland, College Park
  • What is “the mind” and what is artificial intelligence? from University of Colorado Boulder
  • Trees and Graphs: Basics from University of Colorado Boulder
  • Cybersecurity for Data Science from University of Colorado Boulder
  • Scratch: Programmeren voor kinderen (8+) from Delft University of Technology
  • AI in Practice: Preparing for AI from Delft University of Technology
  • AI in Practice: Applying AI from Delft University of Technology
  • Software Design Methods and Tools from University of Colorado System
  • Software Design as an Abstraction from University of Colorado System
  • Software Design as an Element of the Software Development Lifecycle from University of Colorado System
  • Shell Programming – A necessity for all Programmers from Indian Institute of Technology Bombay
  • Основы проектирования приложений интернета вещей from Moscow Institute of Physics and Technology
  • Тонкости верстки from Moscow Institute of Physics and Technology
  • Competitive Programming for Beginners from Moscow Institute of Physics and Technology
  • Basi di dati from University of Naples Federico II
  • Programmazione I from University of Naples Federico II
  • Базы данных (Databases) from Saint Petersburg State University
  • Introduction to the Internet of Things from Universitat Politècnica de València
  • Video Game Design and Balance from Rochester Institute of Technology
  • 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
  • Introducción a UML from Universidad de los Andes
  • The Cyber Security Landscape from Coventry University
  • Ethical Hacking: An Introduction from Coventry University
  • Blockchain 360: A State of the Art for Professionals from EIT Digital
  • Web of Data from EIT Digital
  • Blockchain for the decision maker from EIT Digital
  • C Programming: Advanced Data Types from Dartmouth College
  • C Programming: Getting Started from Dartmouth College
  • AWS Fundamentals: Addressing Security Risk from Amazon Web Services
  • Diseñando páginas web con Bootstrap 4 from Universidad Austral
  • Programación Orientada a Objetos con Python from Universidad Austral
  • Introduzione a LaTeX from University of Modena and Reggio Emilia
  • Introdução à Ciência da Computação com Python Parte 2 from Universidade de São Paulo
  • Introduction to Git and GitHub from Google
  • Web Accessibility from Google
  • CSS Basics from Microsoft
  • Penetration Testing – Exploitation from New York University (NYU)
  • Introduction to Cyber Attacks from New York University (NYU)
  • Cyber Attack Countermeasures from New York University (NYU)
  • Information Security – Authentication and Access Control from New York University (NYU)
  • Introduction to Cloud Development with HTML5, CSS3, and JavaScript from IBM
  • AI for Everyone: Master the Basics from IBM
  • NoSQL Database Basics from IBM
  • Introduction to Quantum Computing for Everyone 2 from The University of Chicago
  • Introduction to Quantum Computing for Everyone from The University of Chicago
  • Introduction to DevOps and Site Reliability Engineering from Linux Foundation
  • Introduction to Open Source Networking Technologies from Linux Foundation
  • Blockchain: Understanding Its Uses and Implications from Linux Foundation
  • C for Everyone: Structured Programming from University of California, Santa Cruz
  • Mobile Computing with App Inventor – CS Principles from The University of Warwick
  • プログラミングしながら学ぶコンピュータサイエンス入門 : Introduction to Computer Science and Programming from Tokyo Institute of Technology
  • Programming with GUIs from Raspberry Pi Foundation
  • Programming 102: Think Like a Computer Scientist from Raspberry Pi Foundation
  • Introduction to Web Accessibility from World Wide Web Consortium (W3C)
  • Introduction to MongoDB from MongoDB University
  • HTTP & Web Servers
  • Using Databases with Python from University of Michigan ★★★★★(3421)
  • Machine Learning from Stanford University ★★★★★(374)
  • Machine Learning for Musicians and Artists from Goldsmiths, University of London ★★★★★(84)
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford University ★★★★★(67)
  • Functional Programming Principles in Scala from École Polytechnique Fédérale de Lausanne ★★★★★(66)
  • Algorithms, Part I from Princeton University ★★★★★(59)
  • Data Science and Agile Systems for Product Management from University System of Maryland ★★★★★(35)
  • Object-Oriented Design from University of Alberta ★★★★☆(35)
  • CS188.1x: Artificial Intelligence from University of California, Berkeley ★★★★★(32)
  • Principles of Computing (Part 1) from Rice University ★★★★★(30)
  • Julia Scientific Programming from University of Cape Town ★★★★☆(29)
  • Programming Languages, Part A from University of Washington ★★★★★(27)
  • Software Security from University of Maryland, College Park ★★★★☆(27)
  • Practical Machine Learning from Johns Hopkins University ★★★☆☆(26)
  • Responsive Website Basics: Code with HTML, CSS, and JavaScript from University of London International Programmes ★★★★☆(26)
  • [New] Web and Mobile Testing with Selenium from University of Minnesota
  • C++ For C Programmers, Part A from University of California, Santa Cruz ★★★☆☆(25)
  • Algorithmic Toolbox from University of California, San Diego ★★★★☆(23)
  • Introduction to Machine Learning Course from Stanford University ★★★★☆(21)
  • Algorithms, Part II from Princeton University ★★★★★(21)
  • Cloud Computing Concepts, Part 1 from University of Illinois at Urbana-Champaign ★★★☆☆(21)
  • Design Patterns from University of Alberta ★★★★★(21)
  • Automata Theory from Stanford University ★★★★☆(20)
  • Introducción a la Inteligencia Artificial: Principales Algoritmos from Galileo University ★★★★☆(20)
  • The Nature of Code from Processing Foundation ★★★★★(18)
  • Principles of Computing (Part 2) from Rice University ★★★★☆(16)
  • MongoDB for Java Developers
  • Algorithmic Thinking (Part 1) from Rice University ★★★★☆(15)
  • Design of Computer Programs from Stanford University ★★★★☆(14)
  • Text Retrieval and Search Engines from University of Illinois at Urbana-Champaign ★★★☆☆(14)
  • Responsive Web Design from University of London International Programmes ★★★★☆(14)
  • How to Code: Simple Data from The University of British Columbia ★★★★☆(14)
  • Data Structures from University of California, San Diego ★★★★☆(13)
  • Using Python for Research from Harvard University ★★★★☆(12)
  • Discrete Optimization from University of Melbourne ★★★★☆(12)
  • Introduction to Software Product Management from University of Alberta ★★★★☆(12)
  • Interactivity with JavaScript from University of Michigan ★★★★☆(11)
  • Software Architecture from University of Alberta ★★★★☆(11)
  • Full Stack Foundations
  • Programming Languages from University of Virginia ★★★☆☆(10)
  • Learning from Data (Introductory Machine Learning course) from California Institute of Technology ★★★★★(10)
  • Human-Computer Interaction I: Fundamentals & Design Principles from Georgia Institute of Technology ★★★★★(9)
  • Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure from University of Illinois at Urbana-Champaign ★★★☆☆(9)
  • Algorithmic Thinking (Part 2) from Rice University ★★★★☆(9)
  • Responsive Web Design Fundamentals from Google ★★★★★(9)
  • Data Wrangling with MongoDB from MongoDB University ★★★☆☆(9)
  • Compilers from Stanford University ★★★★★(8)
  • Advanced Styling with Responsive Design from University of Michigan ★★★★☆(8)
  • Internet of Things: How did we get here? from University of California, San Diego ★★☆☆☆(8)
  • Software Defined Networking from Princeton University ★★★★☆(7)
  • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital from Duke University ★★★★☆(7)
  • MATLAB and Octave for Beginners from École Polytechnique Fédérale de Lausanne ★★★★☆(7)
  • Guided Tour of Machine Learning in Finance from New York University (NYU) ★☆☆☆☆(7)
  • Software Testing from University of Utah ★★★★☆(7)
  • Intro to DevOps from Nutanix ★★★☆☆(7)
  • Machine Learning Fundamentals from University of California, San Diego ★★★★☆(6)
  • Computer Graphics from University of California, San Diego ★★★★☆(6)
  • Data Structures and Performance from University of California, San Diego ★★★★☆(6)
  • Computer Architecture from Princeton University ★★★★☆(6)
  • Analysis of Algorithms from Princeton University ★★★★☆(6)
  • Computer Networking from Georgia Institute of Technology ★★★★☆(6)
  • Cloud Computing Concepts: Part 2 from University of Illinois at Urbana-Champaign ★★★★★(6)
  • Introduction to Meteor.js Development from University of London International Programmes ★★★★☆(6)
  • Web Application Development with JavaScript and MongoDB from University of London International Programmes ★★★★☆(6)
  • Client Needs and Software Requirements from University of Alberta ★★★★★(6)
  • Fundamentals of Machine Learning from Santa Fe Institute ★★★★★(6)
  • Interactive Computer Graphics from The University of Tokyo ★★★☆☆(6)
  • Software Debugging from Saarland University ★★★★★(6)
  • Intro to AJAX
  • Intro to Algorithms
  • Software Construction in Java from Massachusetts Institute of Technology ★★★★★(5)
  • Data Structures: An Active Learning Approach from University of California, San Diego ★★★★★(5)
  • Software Development Process from Georgia Institute of Technology ★★★★☆(5)
  • Cloud Networking from University of Illinois at Urbana-Champaign ★★★★☆(5)
  • Database Management Essentials from University of Colorado System ★★★★☆(5)
  • JavaScript Promises from Google ★★★★★(5)
  • Programming for Everyone – An Introduction to Visual Programming Languages from Weizmann Institute of Science ★★★★☆(5)
  • Parallel Programming Concepts
  • Algorithms on Strings from University of California, San Diego ★★★☆☆(4)
  • Internet of Things: Setting Up Your DragonBoard™ Development Platform from University of California, San Diego ★★★☆☆(4)
  • Programming Languages, Part B from University of Washington ★★★★☆(4)
  • SQL for Data Science from University of California, Davis ★★★★☆(4)
  • Querying Data with Transact-SQL from Microsoft ★★★★☆(4)
  • Practical Numerical Methods with Python from George Washington University ★★★★☆(4)
  • SQL for Data Analysis
  • Algorithms on Graphs from University of California, San Diego ★★★★☆(3)
  • Internet of Things: Communication Technologies from University of California, San Diego ★★★☆☆(3)
  • Mastering the Software Engineering Interview from University of California, San Diego ★★★★☆(3)
  • Algorithmic Design and Techniques from University of California, San Diego ★★★★☆(3)
  • Networks Illustrated: Principles without Calculus from Princeton University ★★★★☆(3)
  • Machine Learning: Unsupervised Learning from Brown University ★★★☆☆(3)
  • Human-Computer Interaction II: Cognition, Context & Culture from Georgia Institute of Technology ★★★★★(3)
  • Service-Oriented Architecture from University of Alberta ★★★★☆(3)
  • Website Performance Optimization from Google ★★★★☆(3)
  • Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course) from Hebrew University of Jerusalem ★★★★★(3)
  • JavaScript Testing
  • Configuring Linux Web Servers
  • MongoDB for .NET Developers
  • Mobile Application Experiences Part 1: From a Domain to an App Idea from Massachusetts Institute of Technology ★★★★★(2)
  • Software Development Fundamentals from University of Pennsylvania ★★★☆☆(2)
  • Building Web Applications in PHP from University of Michigan ★★★★★(2)
  • Advanced Data Structures in Java from University of California, San Diego ★★★★☆(2)
  • Introduction to Machine Learning from Duke University ★★★★☆(2)
  • Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond from Georgia Institute of Technology ★★★★★(2)
  • Software Architecture & Design from Georgia Institute of Technology ★★★★★(2)
  • Programming Languages, Part C from University of Washington ★★★★☆(2)
  • Object-Oriented Data Structures in C++ from University of Illinois at Urbana-Champaign ★★★★☆(2)
  • Responsive Website Tutorial and Examples from University of London International Programmes ★★★★★(2)
  • How to Code: Complex Data from The University of British Columbia ★★★★★(2)
  • Competitive Programmer’s Core Skills from Saint Petersburg State University ★★★★★(2)
  • Web Application Development: Basic Concepts from University of New Mexico ★★★★★(2)
  • Client-Server Communication from Google ★★★★★(2)
  • Introduction to Computation Theory from Santa Fe Institute ★★★★★(2)
  • Developing International Software, Part 1 from Microsoft ★★★★☆(2)
  • Fundamentals of Machine Learning in Finance from New York University (NYU) ★★☆☆☆(2)
  • Autonomous Mobile Robots from ETH Zurich ★★★★★(2)
  • Approximation Algorithms Part I from École normale supérieure ★★★★★(2)
  • Intro to Theoretical Computer Science
  • Networking for Web Developers
  • Compilers from Stanford University ★★★★★(1)
  • Computational Thinking for Modeling and Simulation from Massachusetts Institute of Technology ★★☆☆☆(1)
  • Computation Structures 2: Computer Architecture from Massachusetts Institute of Technology ★★★★☆(1)
  • Algorithm Design and Analysis from University of Pennsylvania ★★★★☆(1)
  • Advanced Algorithms and Complexity from University of California, San Diego ★★★☆☆(1)
  • Foundations of Healthcare Systems Engineering from Johns Hopkins University ★★★★★(1)
  • Human-Computer Interaction III: Ethics, Needfinding & Prototyping from Georgia Institute of Technology ★★★★★(1)
  • Database Systems Concepts & Design from Georgia Institute of Technology ★★★★☆(1)
  • Blockchain Basics from University at Buffalo ★★☆☆☆(1)
  • Mathematics for Computer Science from University of London International Programmes ★★★★★(1)
  • Software Construction: Object-Oriented Design from The University of British Columbia ★★☆☆☆(1)
  • Software Construction: Data Abstraction from The University of British Columbia ★★★☆☆(1)
  • Data Wrangling, Analysis and AB Testing with SQL from University of California, Davis ★☆☆☆☆(1)
  • DevOps Culture and Mindset from University of California, Davis ★★★★★(1)
  • Software Development Processes and Methodologies from University of Minnesota ★★★☆☆(1)
  • Server-side Development with NodeJS, Express and MongoDB from The Hong Kong University of Science and Technology ★★★★★(1)
  • Automated Software Testing: Model and State-based Testing from Delft University of Technology ★★★★★(1)
  • Automated Software Testing: Unit Testing, Coverage Criteria and Design for Testability from Delft University of Technology ★★★★☆(1)
  • Hacking and Patching from University of Colorado System ★★★★★(1)
  • Linux Server Management and Security from University of Colorado System ★★★☆☆(1)
  • Fundamentals of Network Communication from University of Colorado System ★★★★★(1)
  • Algorithms from Indian Institute of Technology Bombay ★★★★★(1)
  • Software Architecture for the Internet of Things from EIT Digital ★★★★☆(1)
  • Paradigms of Computer Programming from Université catholique de Louvain ★★★★☆(1)
  • Client-based Web Applications development: ReactJS & Angular from Universidad Politécnica de Madrid ★☆☆☆☆(1)
  • Functional Programming in Haskell: Supercharge Your Coding from University of Glasgow ★★★★☆(1)
  • Google Maps APIs from Google ★★★★★(1)
  • Browser Rendering Optimization from Google ★★★★☆(1)
  • Cybersecurity and Mobility from University System of Georgia ★☆☆☆☆(1)
  • Overview of Advanced Methods of Reinforcement Learning in Finance from New York University (NYU) ★☆☆☆☆(1)
  • Advanced Database Queries from New York University (NYU) ★★★★★(1)
  • Advanced Database Administration from New York University (NYU) ★★★★★(1)
  • Introduction to Cloud Infrastructure Technologies from Linux Foundation ★★★★☆(1)
  • 2D Game Development with libGDX from Amazon ★★★★★(1)
  • 用Python玩转数据 Data Processing Using Python from Nanjing University ★★★★★(1)
  • Fundamentals of Parallelism on Intel Architecture from Intel ★★★★★(1)
  • An Introduction to Practical Deep Learning from Intel ★★★☆☆(1)
  • Intelligenza Artificiale from University of Urbino ★★★★★(1)
  • How to Win Coding Competitions: Secrets of Champions from ITMO University ★★★☆☆(1)
  • HTML5 Apps and Games from World Wide Web Consortium (W3C) ★★★☆☆(1)
  • Hacker101 from HackerOne ★★★★★(1)
  • Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla from Universidad del Rosario ★★★★★(1)
  • Foundations of Machine Learning from Bloomberg ★★★★★(1)
  • Technical Interview from Pramp ★★★★★(1)
  • Designing RESTful APIs
  • Fundamentals of TinyML from Harvard University
  • Quantitative Methods for Biology from Harvard University
  • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford University
  • Graph Search, Shortest Paths, and Data Structures from Stanford University
  • Algorithms: Design and Analysis, Part 2 from Stanford University
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them from Stanford University
  • Probabilistic Graphical Models 3: Learning from Stanford University
  • Algorithms: Design and Analysis, Part 1 from Stanford University
  • Mobile Application Experiences Part 3: Building Mobile Apps from Massachusetts Institute of Technology
  • Mobile Application Experiences from Massachusetts Institute of Technology
  • Advanced Software Construction in Java from Massachusetts Institute of Technology
  • Data Structures and Software Design from University of Pennsylvania
  • Intro to AR/VR/MR/XR: Technologies, Applications & Issues from University of Michigan
  • Django Features and Libraries from University of Michigan
  • Developing AR/VR/MR/XR Apps with WebXR, Unity & Unreal from University of Michigan
  • Introduction to Neurohacking In R from Johns Hopkins University
  • The Merkle Tree and Cryptocurrencies from University of California, Irvine
  • Games, Sensors and Media from University of California, Irvine
  • Data Science: Machine Learning and Predictions from University of California, Berkeley
  • Blockchain Technology from University of California, Berkeley
  • Bitcoin and Cryptocurrencies from University of California, Berkeley
  • How Virtual Reality Works from University of California, San Diego
  • Graph Algorithms 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
  • Minecraft, Coding and Teaching from University of California, San Diego
  • Internet of Things: Sensing and Actuation From Devices from University of California, San Diego
  • Computer Science: Algorithms, Theory, and Machines from Princeton University
  • Java Programming: Build a Recommendation System from Duke University
  • Cloud Virtualization, Containers and APIs from Duke University
  • Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms from Georgia Institute of Technology
  • Network Function Virtualization from Georgia Institute of Technology
  • Cloud Applications from Georgia Institute of Technology
  • Software Analysis & Testing from Georgia Institute of Technology
  • Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms from Georgia Institute of Technology
  • Cloud Systems Software from Georgia Institute of Technology
  • Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps from Georgia Institute of Technology
  • Introduction to Graduate Algorithms from Georgia Institute of Technology
  • Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues from Georgia Institute of Technology
  • Cybersecurity: The CISO’s View from University of Washington
  • Building a Cybersecurity Toolkit from University of Washington
  • Finding Your Cybersecurity Career Path from University of Washington
  • Machine Learning for Accounting with Python from University of Illinois at Urbana-Champaign
  • Data Analytics Foundations for Accountancy II from University of Illinois at Urbana-Champaign
  • Ordered Data Structures from University of Illinois at Urbana-Champaign
  • Unordered Data Structures from University of Illinois at Urbana-Champaign
  • Blockchain Platforms from University at Buffalo
  • Smart Contracts from University at Buffalo
  • Decentralized Applications (Dapps) from University at Buffalo
  • Supercomputing from Partnership for Advanced Computing in Europe
  • Implementation Strategies: AI and Cognitive Computing from The University of British Columbia
  • Implementation Strategies: Cloud Computing from The University of British Columbia
  • Continuous Integration from University of California, Davis
  • Exploiting and Securing Vulnerabilities in Java Applications from University of California, Davis
  • Distributed Computing with Spark SQL from University of California, Davis
  • Identifying Security Vulnerabilities in C/C++Programming from University of California, Davis
  • Game Design and Development 2: 2D Platformer from Michigan State University
  • Game Design and Development 3: 3D Shooter from Michigan State University
  • Game Design and Development 1: 2D Shooter from Michigan State University
  • Game Design and Development 4: 3D Platformer from Michigan State University
  • Moving to the Cloud from University of Melbourne
  • Signals, Systems, and Learning from Rice University
  • Java程序设计 from Peking University
  • 数据结构基础 from Peking University
  • 面向对象技术高级课程(The Advanced Object-Oriented Technology) from Peking University
  • 计算机组成 Computer Organization from Peking University
  • 算法设计与分析 Design and Analysis of Algorithms from Peking University
  • 计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation from Peking University
  • 操作系统与虚拟化安全 from Peking University
  • 操作系统原理(Operating Systems) from Peking University
  • 高级数据结构与算法 from Peking University
  • 算法设计与分析(高级) | Advanced Design and Analysis of Algorithms from Peking University
  • 算法基础 from Peking University
  • 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
  • Engineering Practices for Building Quality Software from University of Minnesota
  • Black-box and White-box Testing from University of Minnesota
  • Lean Software Development from University of Minnesota
  • Introduction to Automated Analysis from University of Minnesota
  • Developing Android Apps with App Inventor 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
  • Building Cloud Services with the Java Spring Framework from Vanderbilt University
  • Dynamic Programming, Greedy Algorithms from University of Colorado Boulder
  • Algorithms for Searching, Sorting, and Indexing from University of Colorado Boulder
  • Project Planning and Machine Learning from University of Colorado Boulder
  • Fundamentals of Quantum Information from Delft University of Technology
  • Global Software Development from Delft University of Technology
  • Packet Switching Networks and Algorithms from University of Colorado System
  • Detecting and Mitigating Cyber Threats and Attacks from University of Colorado System
  • Cloud Computing Security from University of Colorado System
  • Data Structures and Design Patterns for Game Developers from University of Colorado System
  • Advanced System Security Topics from University of Colorado System
  • Software Requirements Prioritization: Risk Analysis from University of Colorado System
  • SRS Documents: Requirements and Diagrammatic Notations from University of Colorado System
  • Requirements Elicitation: Artifact and Stakeholder Analysis from University of Colorado System
  • Algorithms, Data Collection, and Starting to Code from University of Colorado System
  • Abstraction, Problem Decomposition, and Functions from University of Colorado System
  • Homeland Security & Cybersecurity Connection – It’s Not About the Terrorists from University of Colorado System
  • Data Analysis and Representation, Selection and Iteration from University of Colorado System
  • Simulation, Algorithm Analysis, and Pointers from University of Colorado System
  • Requirements Gathering for Secure Software Development from University of Colorado System
  • Requirements Specifications: Goals and Conflict Analysis from University of Colorado System
  • Software Design Threats and Mitigations from University of Colorado System
  • Peer-to-Peer Protocols and Local Area Networks from University of Colorado System
  • Foundations of Data Structures from Indian Institute of Technology Bombay
  • Implementation of Data Structures from Indian Institute of Technology Bombay
  • Разработка веб-сервисов на Golang, часть 2 from Moscow Institute of Physics and Technology
  • Основы HTML и CSS from Moscow Institute of Physics and Technology
  • Laboratorio di programmazione: strumenti e programmi from University of Naples Federico II
  • I sistemi Operativi Moderni from University of Naples Federico II
  • Nuove tecnologie digitali from University of Naples Federico II
  • Основы и практическое применение блокчейна from Saint Petersburg State University
  • The Introduction to Quantum Computing from Saint Petersburg State University
  • Quantum Computing. Less Formulas – More Understanding from Saint Petersburg State University
  • NoSQL systems from Universidad Nacional Autónoma de México
  • Relational database systems from Universidad Nacional Autónoma de México
  • Cognición encarnada from Universidad Nacional Autónoma de México
  • Cloud Computing for Enterprises from University System of Maryland
  • Cloud Computing Engineering and Management from University System of Maryland
  • Data Structures and Algorithms (I) from Tsinghua University
  • Data Structures and Algorithm Design Part I | 数据结构与算法设计(上) from Tsinghua University
  • Сетевое администрирование: от теории к практике from Tsinghua University
  • Data Structures and Algorithms (IV) from Tsinghua University
  • Data Structures and Algorithms (II) from Tsinghua University
  • Data Structures and Algorithms (III) from Tsinghua University
  • Algoritmos y Programación en R from Tecnológico de Monterrey
  • Использование механизмов операционных систем в разработке программного обеспечения from National Research Nuclear University MEPhI
  • Enterprise Software Lifecycle Management from National Research Nuclear University MEPhI
  • Getting Started with Unreal Engine from Rochester Institute of Technology
  • Teamwork & Collaboration from Rochester Institute of Technology
  • 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
  • Architecting Smart IoT Devices from EIT Digital
  • Introduction to Architecting Smart IoT Devices from EIT Digital
  • I/O-efficient algorithms from EIT Digital
  • Reviews & Metrics for Software Improvements from University of Alberta
  • Cybersecurity and Privacy in the IoT from Curtin University
  • Communicating with Robots and Bots from Curtin University
  • Advanced Algorithmics and Graph Theory with Python from Institut Mines-Télécom
  • Understanding Artificial Intelligence through Algorithmic Information Theory from Institut Mines-Télécom
  • Procedural Modelling from National University of Singapore
  • Introdução ao Teste de Software from Universidade de São Paulo
  • Using Machine Learning in Trading and Finance from New York Institute of Finance
  • Intro to Data Structures and Algorithms from Google
  • Intro to Progressive Web Apps from Google
  • Offline Web Applications from Google
  • Introduction to Data Structures from University of Adelaide
  • Cybersecurity and the X-Factor from University System of Georgia
  • Cybersecurity and the Internet of Things from University System of Georgia
  • Information Security – Introduction to Information Security from New York University (NYU)
  • Information Security – Advanced topics from New York University (NYU)
  • Penetration Testing – Discovering Vulnerabilities from New York University (NYU)
  • Enterprise and Infrastructure Security from New York University (NYU)
  • Penetration Testing – Post Exploitation from New York University (NYU)
  • Introduction to z/OS Commands and Panels on IBM Z from IBM
  • Cybersecurity Compliance Framework & System Administration from IBM
  • Introduction to System Programming on IBM Z from IBM
  • Basic System Programming on IBM Z from IBM
  • Introduction to IBM z/OS Mainframe from IBM
  • Web App Development with the Power of Node.js from Technische Universität München (Technical University of Munich)
  • Introduction to Web Cartography: Part 1 from ETH Zurich
  • Hyperledger Sawtooth for Application Developers from Linux Foundation
  • Introduction to DevOps: Transforming and Improving Operations from Linux Foundation
  • Introduction to Kubernetes from Linux Foundation
  • Open Source and the 5G Transition from Linux Foundation
  • Business Considerations for 5G with Edge, IoT, and AI from Linux Foundation
  • IoT System Architecture: Design and Evaluation from Waseda University
  • UML Class Diagrams for Software Engineering from KU Leuven University
  • Data Science in the Games Industry from University of Dundee
  • Web Development with Java Spring Framework from St. Petersburg State Polytechnic University
  • Orientação a Objetos com Java from Instituto Tecnológico de Aeronáutica
  • Internet of Things for Active Aging from Taipei Medical University
  • Introduction: Elements of Microgame Design from Worcester Polytechnic Institute
  • Hacking PostgreSQL: Data Access Methods from Ural Federal University
  • Fundamentals of Red Hat Enterprise Linux from Red Hat
  • Mejora tu Negocio con Inteligencia Artificial from Universidad Anáhuac
  • Python in High Performance Computing from Partnership for Advanced Computing in Europe
  • Design a Feminist Chatbot from Institute of Coding
  • Introduction to Applied Machine Learning from Alberta Machine Intelligence Institute
  • Deep Learning Essentials from Université de Montréal
  • Bias and Discrimination in AI from Université de Montréal
  • UIKit Fundamentals
  • MongoDB for Python Developers
  • MongoDB for Javascript Developers
  • Deploying Applications with Heroku
  • Dynamic Web Applications with Sinatra
  • VR Scenes and Objects

Advanced (136)

  • Machine Learning Foundations: A Case Study Approach from University of Washington ★★★★☆(40)
  • Sample-based Learning Methods from University of Alberta ★★★★★(33)
  • Machine Learning with Python: from Linear Models to Deep Learning from Massachusetts Institute of Technology ★★★☆☆(28)
  • Introducción al diseño de hardware con Verilog from Galileo University ★★★★★(28)
  • Computer Simulations from University of California, Davis ★★★★★(27)
  • Introduction to Artificial Intelligence from Stanford University ★★★★☆(26)
  • [New] One-way Quantum Computation from Saint Petersburg State University
  • [New] Deploying Machine Learning Models in Production from deeplearning.ai
  • Fundamentals of Reinforcement Learning from University of Alberta ★★★★★(24)
  • Machine Learning: Regression from University of Washington ★★★★★(20)
  • Probabilistic Graphical Models 1: Representation from Stanford University ★★★★☆(18)
  • Machine Learning for Data Science and Analytics from Columbia University ★★★☆☆(16)
  • Neural Networks and Deep Learning from deeplearning.ai ★★★★★(15)
  • Prediction and Control with Function Approximation from University of Alberta ★★★★★(15)
  • Machine Learning With Big Data from University of California, San Diego ★★☆☆☆(14)
  • Hardware Security from University of Maryland, College Park ★★★☆☆(10)
  • Mathematics for Machine Learning: Multivariate Calculus from Imperial College London ★★★★★(9)
  • Convolutional Neural Networks from deeplearning.ai ★★★★★(8)
  • Reinforcement Learning from Brown University ★★★☆☆(8)
  • Machine Learning: Classification from University of Washington ★★★★★(8)
  • Practical Deep Learning For Coders from fast.ai ★★★★☆(8)
  • Applied Machine Learning in Python from University of Michigan ★★★★☆(6)
  • Enabling Technologies for Data Science and Analytics: The Internet of Things from Columbia University ★☆☆☆☆(6)
  • Machine Learning from Georgia Institute of Technology ★★★★☆(6)
  • Advanced Operating Systems from Georgia Institute of Technology ★★★★★(6)
  • Parallel programming from École Polytechnique Fédérale de Lausanne ★★★★☆(6)
  • Interactive 3D Graphics from Autodesk ★★★★☆(6)
  • Introduction to Computer Architecture from Carnegie Mellon University ★★★★★(5)
  • Sparse Representations in Image Processing: From Theory to Practice from Technion – Israel Institute of Technology ★★★★★(5)
  • Sequence Models from deeplearning.ai ★★★★★(4)
  • Machine Learning: Clustering & Retrieval from University of Washington ★★★★★(4)
  • Machine Learning for Data Analysis from Wesleyan University ★★★★☆(4)
  • Structuring Machine Learning Projects from deeplearning.ai ★★★★★(3)
  • Probabilistic Graphical Models 2: Inference from Stanford University ★★★★☆(3)
  • 6.S191: Introduction to Deep Learning from Massachusetts Institute of Technology ★★★★☆(3)
  • Practical Predictive Analytics: Models and Methods from University of Washington ★★☆☆☆(3)
  • Introduction to Deep Learning from Higher School of Economics ★★★☆☆(3)
  • Regression Modeling in Practice from Wesleyan University ★★★★☆(3)
  • Mathematics for Machine Learning: PCA from Imperial College London ★★☆☆☆(3)
  • Quantitative Formal Modeling and Worst-Case Performance Analysis from EIT Digital ★★★☆☆(3)
  • Intro to Information Security from Georgia Institute of Technology ★★☆☆☆(2)
  • Introduction to Operating Systems from Georgia Institute of Technology ★★★★★(2)
  • Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology ★★★☆☆(2)
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud from University of Illinois at Urbana-Champaign ★★★☆☆(2)
  • Practical Reinforcement Learning from Higher School of Economics ★★★★★(2)
  • Nearest Neighbor Collaborative Filtering from University of Minnesota ★★☆☆☆(2)
  • Learn TensorFlow and deep learning, without a Ph.D. from Google ★★★★☆(2)
  • Reinforcement Learning in Finance from New York University (NYU) ★☆☆☆☆(2)
  • Computability, Complexity & Algorithms from Georgia Institute of Technology ★★★★★(1)
  • High Performance Computer Architecture from Georgia Institute of Technology ★★★★★(1)
  • Computational Photography from Georgia Institute of Technology ★★★★☆(1)
  • Quantum Machine Learning from University of Toronto ★★★★★(1)
  • Information Security: Context and Introduction from University of London International Programmes ★★★★★(1)
  • Distributed Programming in Java from Rice University ★★★★★(1)
  • Concurrent Programming in Java from Rice University ★★★★★(1)
  • Parallel Programming in Java from Rice University ★★★★☆(1)
  • Relational Database Support for Data Warehouses from University of Colorado System ★★☆☆☆(1)
  • Nature, in Code: Biology in JavaScript from École Polytechnique Fédérale de Lausanne ★★★☆☆(1)
  • Introduction to Hyperledger Blockchain Technologies from Linux Foundation ★★★★☆(1)
  • Introduction to Cloud Foundry and Cloud Native Software Architecture from Linux Foundation ★★★★★(1)
  • Sparse Representations in Signal and Image Processing: Fundamentals from Technion – Israel Institute of Technology ★★★★★(1)
  • AI for Medical Diagnosis from deeplearning.ai ★★★★☆(1)
  • Systems and Application Security from (ISC)² ★★★★☆(1)
  • Real-Time Audio Signal Processing in Faust from Stanford University
  • Computation Structures 3: Computer Organization from Massachusetts Institute of Technology
  • Artificial Intelligence for Breast Cancer Detection from Johns Hopkins University
  • Deploying Machine Learning Models from University of California, San Diego
  • Design Thinking and Predictive Analytics for Data Products from University of California, San Diego
  • NP-Complete Problems from University of California, San Diego
  • Cloud Machine Learning Engineering and MLOps from Duke University
  • High Performance Computing from Georgia Institute of Technology
  • Cyber-Physical Systems Design & Analysis from Georgia Institute of Technology
  • FA17: Machine Learning from Georgia Institute of Technology
  • Compilers: Theory and Practice from Georgia Institute of Technology
  • Cyber-Physical Systems Security from Georgia Institute of Technology
  • Machine Learning from Georgia Institute of Technology
  • Artificial Intelligence from Georgia Institute of Technology
  • GT – Refresher – Advanced OS from Georgia Institute of Technology
  • Basic Modeling for Discrete Optimization from University of Melbourne
  • Solving Algorithms for Discrete Optimization from University of Melbourne
  • 离散优化建模高阶篇 Advanced Modeling for Discrete Optimization from The Chinese University of Hong Kong
  • 离散优化算法篇 Solving Algorithms for Discrete Optimization from The Chinese University of Hong Kong
  • 离散优化建模基础篇 Basic Modeling for Discrete Optimization from The Chinese University of Hong Kong
  • Advanced Modeling for Discrete Optimization from University of Melbourne
  • Machine Learning from The University of Texas at Austin
  • LAFF-On Programming for High Performance from The University of Texas at Austin
  • Менеджмент информационной безопасности from Higher School of Economics
  • Calculus and Optimization for Machine Learning from Higher School of Economics
  • Estimating ML-Models Financial Impact from Higher School of Economics
  • Introduction to Formal Concept Analysis from Higher School of Economics
  • Bayesian Methods for Machine Learning from Higher School of Economics
  • First Steps in Linear Algebra for Machine Learning from Higher School of Economics
  • Обработка изображений from Higher School of Economics
  • Методы и средства защиты информации from Higher School of Economics
  • Addressing Large Hadron Collider Challenges by Machine Learning from Higher School of Economics
  • Recommender Systems: Evaluation and Metrics from University of Minnesota
  • Introduction to Recommender Systems: Non-Personalized and Content-Based from University of Minnesota
  • Matrix Factorization and Advanced Techniques from University of Minnesota
  • Introduction to High-Performance and Parallel Computing from University of Colorado Boulder
  • MATLAB et Octave pour débutants from École Polytechnique Fédérale de Lausanne
  • Optimization: principles and algorithms – Network and discrete optimization from École Polytechnique Fédérale de Lausanne
  • Optimization: principles and algorithms – Linear optimization from École Polytechnique Fédérale de Lausanne
  • Optimization: principles and algorithms – Unconstrained nonlinear optimization from École Polytechnique Fédérale de Lausanne
  • Il linguaggio naturale, dall’uomo alla macchina from University of Naples Federico II
  • Machine Learning e Data Mining in R from University of Naples Federico II
  • 機器學習基石下 (Machine Learning Foundations)—Algorithmic Foundations from National Taiwan University
  • Operations Research (2): Optimization Algorithms 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
  • 人工智慧:機器學習與理論基礎 (Artificial Intelligence – Learning & Theory) from National Taiwan University
  • Operations Research (1): Models and Applications from National Taiwan University
  • Razonamiento artificial from Universidad Nacional Autónoma de México
  • Sesenta años de inteligencia artificial from Universidad Nacional Autónoma de México
  • Big Data Machine Learning | 大数据机器学习 from Tsinghua University
  • 计算几何 | Computational Geometry from Tsinghua University
  • Automated Reasoning: Symbolic Model Checking from EIT Digital
  • System Validation (4): Modelling Software, Protocols, and other behaviour from EIT Digital
  • System Validation: Automata and behavioural equivalences from EIT Digital
  • System Validation (3): Requirements by modal formulas from EIT Digital
  • Approximation Algorithms from EIT Digital
  • System Validation (2): Model process behaviour from EIT Digital
  • Optimize ML Models and Deploy Human-in-the-Loop Pipelines from deeplearning.ai
  • Generative Modelling from National University of Singapore
  • Performative Modelling from National University of Singapore
  • Deep Learning and Reinforcement Learning from IBM
  • Introduction to OpenStack from Linux Foundation
  • Statistical Machine Learning from Carnegie Mellon University
  • Cyber-Physical Systems: Modeling and Simulation from University of California, Santa Cruz
  • Generative Deep Learning with TensorFlow from deeplearning.ai
  • AI For Medical Treatment from deeplearning.ai
  • AI for Medical Prognosis from deeplearning.ai
  • Approximation Algorithms Part II from École normale supérieure
  • Access Controls from (ISC)²
  • Security Operations and Administration from (ISC)²
  • Big Data Applications: Machine Learning at Scale from Yandex
  • Optimizing Machine Learning Performance from Alberta Machine Intelligence Institute
  • Deep Learning Summer School

Posted by Contributor