Un mes más os recordamos que podéis acceder a una lista de cursos online gratuitos de programación y computación. Este mes de julio comienzan más de 660 cursos que os listamos a continuación gracias al aporte de Freecodecamp:

Nivel básico (157 cursos)

• An Introduction to Interactive Programming in Python (Part 1) –  Rice University ★★★★★(2909)
• Introduction to Computer Science and Programming Using Python –  Massachusetts Institute of Technology ★★★★★(99)
• Learn to Program: The Fundamentals –  University of Toronto ★★★★★(86)
• Intro to Computer Science –  University of Virginia ★★★★☆(61)
• CS50’s Introduction to Computer Science –  Harvard University ★★★★★(53)
• Ruby on Rails: An Introduction –  Johns Hopkins University ★★★☆☆(50)
• Introduction to HTML5 –  University of Michigan ★★★★☆(37)
• Internet History, Technology, and Security –  University of Michigan★★★★★(35)
• Introduction to Linux –  Linux Foundation ★★★★☆(34)
• How to Use Git and GitHub
• [New] Programming with GUIs –  Raspberry Pi Foundation
• Intro to HTML and CSS
• Introduction to VBA/Excel Programming –  Cal Poly Pomona ★★★★☆(21)
• Introduction to Cyber Security –  The Open University ★★★★☆(18)
• Build a Modern Computer –  First Principles:  –  Nand to Tetris (Project-Centered Course)  –  Hebrew University of Jerusalem ★★★★★(14)
• Programming Basics –  Indian Institute of Technology Bombay ★★☆☆☆(13)
• Computer Science 101 –  Stanford University ★★★★☆(11)
• Introduction to CSS3 –  University of Michigan ★★★★★(11)
• Creative Programming for Digital Media & Mobile Apps –  University of London International Programmes ★★★★☆(10)
• HTML5 Coding Essentials and Best Practices –  World Wide Web Consortium (W3C) ★★★★☆(9)
• Introduction to Computer Networking –  Stanford University ★★★★★(8)
• Introduction to the Internet of Things and Embedded Systems –  University of California, Irvine ★★★★☆(8)
• Usable Security –  University of Maryland, College Park ★★★☆☆(8)
• Introduction to Bootstrap – A Tutorial –  Microsoft ★★★☆☆(8)
• Code Yourself! An Introduction to Programming –  University of Edinburgh★★★★☆(7)
• HTML, CSS, and Javascript for Web Developers –  Johns Hopkins University★★★★★(6)
• Learn to Program: Crafting Quality Code –  University of Toronto ★★★★★(6)
• Intro to Relational Databases
• Paradigms of Computer Programming – Fundamentals –  Université catholique de Louvain ★★★★★(4)
• Paradigms of Computer Programming – Abstraction and Concurrency –  Université catholique de Louvain ★★★★☆(4)
• Introduction to jQuery –  Microsoft ★★★★☆(4)
• Programming in Scratch –  Harvey Mudd College ★★★★★(4)
• How To Create a Website in a Weekend! (Project-Centered Course) –  State University of New York ★★★★★(3)
• Introduction to Programming for the Visual Arts with p5.js –  University of California, Los Angeles ★★★★☆(3)
• HTML5 and CSS Fundamentals –  World Wide Web Consortium (W3C)★★★★☆(3)
• Linux Command Line Basics
• The Beauty and Joy of Computing – AP® CS Principles Part 1 –  University of California, Berkeley ★★★★★(2)
• Object-Oriented Programming –  Indian Institute of Technology Bombay★★★★☆(2)
• The Computing Technology Inside Your Smartphone –  Cornell University★★★★★(2)
• Introduction to HTML and JavaScript –  Microsoft ★★★★★(2)
• Create. Code –  University of Adelaide ★★★★★(2)
• CS For All: Introduction to Computer Science and Python Programming –  Harvey Mudd College ★★★★★(2)
• Networks: Friends, Money, and Bytes –  Princeton University ★★★☆☆(1)
• Programando con Java para aplicaciones Android –  Universidad Nacional Autónoma de México ★★★★★(1)
• Android Basics: Make Your First App –  Google ★★★★★(1)
• Computing: Art, Magic, Science –  ETH Zurich ★★★★☆(1)
• MyCS: Computer Science for Beginners –  Harvey Mudd College ★★★☆☆(1)
• CS50’s Understanding Technology –  Harvard University
• CS50’s Computer Science for Business Professionals –  Harvard University
• CS50’s Mobile App Development with React Native –  Harvard University
• CS50’s Web Programming with Python and JavaScript –  Harvard University
• CS50’s Introduction to Game Development –  Harvard University
• Principles of Computing –  Stanford University
• Hacker Tools –  Massachusetts Institute of Technology
• The Beauty and Joy of Computing – AP® CS Principles Part 2 –  University of California, Berkeley
• Computational Thinking for Problem Solving –  University of Pennsylvania
• The Unix Workbench –  Johns Hopkins University
• JavaScript, jQuery, and JSON –  University of Michigan
• Introduction to Structured Query Language (SQL) –  University of Michigan
• Building Database Applications in PHP –  University of Michigan
• Interacting with the System and Managing Memory –  Duke University
• Programming Fundamentals –  Duke University
• Computer Science: Programming with a Purpose –  Princeton University
• Introduction to Computing using Python –  Georgia Institute of Technology
• Introduction to Cybersecurity –  University of Washington
• Python Programming Essentials –  Rice University
• Introduction to Virtual Reality –  University of London International Programmes
• Building Interactive 3D Characters and Social VR –  University of London International Programmes
• How Computers Work –  University of London International Programmes
• Introduction to Computer Programming –  University of London International Programmes
• Software Engineering: Introduction –  The University of British Columbia
• Introduction to Web Development –  University of California, Davis
• Введение в базы данных –   Petersburg State Polytechnic University
• Web Development and Design using WordPress –  California Institute of the Arts
• Web Design: Strategy and Information Architecture –  California Institute of the Arts
• Cyber Security Economics –  Delft University of Technology
• Scratch: Programmeren voor kinderen (8+) –  Delft University of Technology
• Excel/VBA for Creative Problem Solving, Part 2 –  University of Colorado Boulder
• Основы проектирования приложений интернета вещей –  Moscow Institute of Physics and Technology
• Тонкости верстки –  Moscow Institute of Physics and Technology
• Web Coding Fundamentals: HTML, CSS and Javascript –  National University of Singapore
• Java Fundamentals for Android Development –  Galileo University
• Android App Development for Beginners –  Galileo University
• Monetize your Android Applications –  Galileo University
• AP Computer Science A: Java Programming Classes and Objects –  Purdue University
• AP Computer Science A: Java Programming Loops and Data Structures –  Purdue University
• AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures –  Purdue University
• Introduction to TCP/IP –  Yonsei University
• Deep Learning for Business –  Yonsei University
• Cyber Security Basics: A Hands-on Approach –  Universidad Carlos iii de Madrid
• Problem Solving, Programming, and Video Games –  University of Alberta
• Introduzione a LaTeX –  University of Modena and Reggio Emilia
• Blockchain 360: A State of the Art for Professionals –  EIT Digital
• Mobile Web Development –  Google
• Web Accessibility –  Google
• Introduction to Design Thinking –  Microsoft
• Introduction to ReactJS –  Microsoft
• Introduction to NodeJS –  Microsoft
• Logic and Computational Thinking –  Microsoft
• CSS Basics –  Microsoft
• Object Oriented Programming in Java –  Microsoft
• Learn to Program in Java –  Microsoft
• Writing Professional Code –  Microsoft
• How Entrepreneurs in Emerging Markets can master the Blockchain Technology –  University of Cape Town
• C Programming: Using Linux Tools and Libraries –  Dartmouth
• C Programming: Modular Programming and Memory Management –  Dartmouth
• C Programming: Advanced Data Types –  Dartmouth
• C Programming: Language Foundations –  Institut Mines-Télécom
• C Programming: Getting Started –  Dartmouth
• C Programming: Pointers and Memory Management –  Dartmouth
• Linux Basics: The Command Line Interface –  Dartmouth
• Computing: Art, Magic, Science – Part II –  ETH Zurich
• Software Design Methods and Tools –  University of Colorado System
• TCP/IP and Advanced Topics –  University of Colorado System
• Software Design as an Element of the Software Development Lifecycle –  University of Colorado System
• Proactive Computer Security –  University of Colorado System
• Introduction to Cybersecurity for Business –  University of Colorado System
• Software Design as an Abstraction –  University of Colorado System
• Introduction to Open Source Networking Technologies –  Linux Foundation
• Blockchain: Understanding Its Uses and Implications –  Linux Foundation
• Introducción a la programación en C: Instrucciones de control y ficheros de texto –  Universidad Autónoma de Madrid
• Mobile Computing with App Inventor – CS Principles –  The University of Warwick
• Introduction to the Internet of Things (IoT) –  Curtin University
• Software Engineering Essentials –  Technische Universität München (Technical University of Munich)
• Базы данных (Databases) –  Saint Petersburg State University
• Web Security Fundamentals –  KU Leuven University
• Arduino Programming, –  novice to ninja  –  Institut Mines-Télécom
• Video Game Design and Balance –  Rochester Institute of Technology
• Cyber Attack Countermeasures –  New York University (NYU)
• Introduction to Cyber Attacks –  New York University (NYU)
• Introdução à Ciência da Computação com Python Parte 1 –  Universidade de São Paulo
• Introdução à Ciência da Computação com Python Parte 2 –  Universidade de São Paulo
• Programación Orientada a Objetos –  MéxicoX
• Computing Form and Shape: Python Programming with the Rhinoscript Library –  Rhode Island School of Design
• Introduction to MongoDB –  MongoDB University
• Object-oriented Programming in Python: Create Your Own Adventure Game –  Raspberry Pi Foundation
• Programming 102: Think Like a Computer Scientist –  Raspberry Pi Foundation
• Programación Orientada a Objetos con Python –  Universidad Austral
• Diseñando páginas web con Bootstrap 4 –  Universidad Austral
• How Computers Work: Demystifying Computation –  Raspberry Pi Foundation
• Swift for Beginners
• Data Communications and Network Services –  Cisco
• Elements of AI –  University of Helsinki
• Blockchain in the Energy Sector –  InnoEnergy
• Learn Swift Programming Syntax
• Internet Connection: How to Get Online? –  Cisco
• Network Protocols and Architecture –  Cisco
• Introduction to Cisco Networking –  Cisco
• Version Control with Git –  Atlassian
• ES6 – JavaScript Improved
• Introduction to Virtual Reality
• GitHub & Collaboration
• Version Control with Git
• HTTP & Web Servers
• Android for Beginners
• Web Applications for Everybody
• Home Networking Basics –  Cisco

Nivel intermedio (369 cursos)

• Using Databases with Python –  University of Michigan ★★★★★(291)
• Machine Learning –  Stanford University ★★★★★(261)
• Functional Programming Principles in Scala –  École Polytechnique Fédérale de Lausanne ★★★★★(58)
• Algorithms, Part I –  Princeton University ★★★★☆(48)
• Cryptography I –  Stanford University ★★★★★(45)
• Introduction to Agent-based Modeling –  Santa Fe Institute ★★★★★(39)
• Programming Mobile Applications for Android Handheld Systems: Part 1 –  University of Maryland, College Park ★★★★☆(38)
• 1x: Artificial Intelligence –  University of California, Berkeley★★★★★(30)
• Principles of Computing (Part 1) –  Rice University ★★★★★(26)
• Practical Machine Learning –  Johns Hopkins University ★★★☆☆(22)
• Software Security –  University of Maryland, College Park ★★★★★(22)
• Algorithms, Part II –  Princeton University ★★★★★(21)
• Responsive Website Basics: Code with HTML, CSS, and JavaScript –  University of London International Programmes ★★★★☆(21)
• Agile Development Using Ruby on Rails – The Basics –  University of California, Berkeley ★★★★★(19)
• Cloud Computing Concepts, Part 1 –  University of Illinois at Urbana-Champaign★★★☆☆(19)
• Automata Theory –  Stanford University ★★★★☆(17)
• Programming Languages, Part A –  University of Washington ★★★★★(17)
• C++ For C Programmers, Part A –  University of California, Santa Cruz★★★☆☆(16)
• Principles of Computing (Part 2) –  Rice University ★★★★☆(15)
• Programming Mobile Applications for Android Handheld Systems: Part 2 –  University of Maryland, College Park ★★★★☆(15)
• The Nature of Code –  Processing Foundation ★★★★★(15)
• Algorithmic Thinking (Part 1) –  Rice University ★★★★☆(14)
• Design of Computer Programs –  Stanford University ★★★★☆(13)
• Intro to Machine Learning –  Stanford University ★★★★☆(12)
• Algorithmic Toolbox –  University of California, San Diego ★★★★☆(12)
• Discrete Optimization –  University of Melbourne ★★★★☆(12)
• Responsive Web Design –  University of London International Programmes★★★☆☆(11)
• Introduction to Game Development –  Michigan State University ★★★★☆(11)
• Introduction to Functional Programming –  Delft University of Technology★★★★☆(11)
• Interactivity with JavaScript –  University of Michigan ★★★★☆(10)
• Introduction to Software Product Management –  University of Alberta★★★★☆(10)
• Android Development for Beginners –  Google ★★★★☆(10)
• The Arduino Platform and C Programming –  University of California, Irvine★★★☆☆(9)
• Algorithmic Thinking (Part 2) –  Rice University ★★★★☆(9)
• Programming Languages –  University of Virginia ★★★☆☆(9)
• Software Processes and Agile Practices –  University of Alberta ★★★★☆(9)
• Image and Video Processing: –  Mars to Hollywood with a Stop at the Hospital  –  Duke University ★★★★☆(8)
• Text Retrieval and Search Engines –  University of Illinois at Urbana-Champaign★★★☆☆(8)
• Cryptography –  University of Maryland, College Park ★★★★☆(8)
• Advanced Styling with Responsive Design –  University of Michigan★★★★☆(7)
• Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure –  University of Illinois at Urbana-Champaign ★★★☆☆(7)
• Software Testing –  University of Utah ★★★★☆(7)
• Internet of Things: How did we get here? –  University of California, San Diego★★☆☆☆(6)
• Introduction To Swift Programming –  University of Toronto ★☆☆☆☆(6)
• Learning –  Data (Introductory Machine Learning course)  –  California Institute of Technology ★★★★☆(6)
• Client Needs and Software Requirements –  University of Alberta ★★★★☆(6)
• Responsive Web Design Fundamentals –  Google ★★★★☆(6)
• Intro to AJAX
• Agile Development Using Ruby on Rails – Advanced –  University of California, Berkeley ★★★★★(5)
• Ruby on Rails Web Services and Integration with MongoDB –  Johns Hopkins University ★★★★★(5)
• Cloud Computing Concepts: Part 2 –  University of Illinois at Urbana-Champaign★★★★★(5)
• Computer Graphics –  University of California, San Diego ★★★★☆(5)
• Data Structures and Performance –  University of California, San Diego★★★★★(5)
• Web Application Development with JavaScript and MongoDB –  University of London International Programmes ★★★★☆(5)
• Introduction to Meteor.js Development –  University of London International Programmes ★★★★★(5)
• How to Code: Simple Data –  The University of British Columbia ★★★★☆(5)
• Developing Android Apps –  Google ★★★★☆(5)
• Julia Scientific Programming –  University of Cape Town ★★★★★(5)
• Data Wrangling with MongoDB –  MongoDB University ★★★★☆(5)
• Parallel Programming Concepts
• Intro to DevOps –  Nutanix ★★★☆☆(5)
• Intro to iOS App Development with Swift
• Interfacing with the Arduino –  University of California, Irvine ★★★★☆(4)
• Algorithms on Strings –  University of California, San Diego ★★★☆☆(4)
• Analysis of Algorithms –  Princeton University ★★★★★(4)
• Computer Architecture –  Princeton University ★★★★★(4)
• Computer Networking –  Georgia Institute of Technology ★★★★☆(4)
• Software Development Process –  Georgia Institute of Technology ★★★☆☆(4)
• Cloud Networking –  University of Illinois at Urbana-Champaign ★★★★☆(4)
• Website Performance Optimization –  Google ★★★★☆(4)
• HTML5 Game Development –  Google ★★★☆☆(4)
• Practical Numerical Methods with Python –  George Washington University★★★★☆(4)
• Database Management Essentials –  University of Colorado System ★★★★☆(4)
• Interactive Computer Graphics –  The University of Tokyo ★★☆☆☆(4)
• Software Debugging –  Saarland University ★★★★★(4)
• Software Construction in Java –  Massachusetts Institute of Technology★★★★★(3)
• Foundations of Objective-C App Development –  University of California, Irvine★★★☆☆(3)
• The Raspberry Pi Platform and Python Programming for the Raspberry Pi –  University of California, Irvine ★★★★☆(3)
• Data Structures –  University of California, San Diego ★★★☆☆(3)
• Networks Illustrated: Principles without Calculus –  Princeton University★★★★☆(3)
• VLSI CAD Part I: Logic –  University of Illinois at Urbana-Champaign ★★★★★(3)
• Mastering the Software Engineering Interview –  University of California, San Diego ★★★★☆(3)
• Internet of Things: Setting Up Your DragonBoard™ Development Platform –  University of California, San Diego ★★★☆☆(3)
• Querying Data with Transact-SQL –  Microsoft ★★★★☆(3)
• DevOps for Developers: How to Get Started –  Microsoft ★★★★☆(3)
• Autonomous Mobile Robots –  ETH Zurich ★★★☆☆(3)
• Intro to Algorithms
• Compilers –  Stanford University ★★★★☆(2)
• Mobile Application Experiences Part 1: –  a Domain to an App Idea  –  Massachusetts Institute of Technology ★★★★★(2)
• Rails with Active Record and Action Pack –  Johns Hopkins University★★★★☆(2)
• Algorithms on Graphs –  University of California, San Diego ★★★★☆(2)
• Advanced Data Structures in Java –  University of California, San Diego★★★★☆(2)
• Internet of Things: Communication Technologies –  University of California, San Diego ★★★☆☆(2)
• App Design and Development for iOS –  University of Toronto ★★★☆☆(2)
• iOS App Development Basics –  University of Toronto ★★★★☆(2)
• Game Development for Modern Platforms –  Michigan State University★★★★★(2)
• Introduction to Mobile Application Development using Android –  The Hong Kong University of Science and Technology ★★★★☆(2)
• Agile Planning for Software Products –  University of Alberta ★★★☆☆(2)
• UX Design for Mobile Developers –  Google ★★★★★(2)
• Browser Rendering Optimization –  Google ★★★★☆(2)
• Analyzing and Visualizing Data with Power BI –  Microsoft ★★★★★(2)
• Developing International Software, Part 1 –  Microsoft ★★★★☆(2)
• Agile Software Development –  ETH Zurich ★★★★★(2)
• Build Your First Android App (Project-Centered Course) –  École Centrale Paris★★★☆☆(2)
• Approximation Algorithms Part I –  École normale supérieure ★★★★★(2)
• JavaScript Testing
• Full Stack Foundations
• Configuring Linux Web Servers
• Single Page Web Applications with AngularJS –  Johns Hopkins University★★★★★(1)
• Interfacing with the Raspberry Pi –  University of California, Irvine ★☆☆☆☆(1)
• Best Practices for iOS User Interface Design –  University of California, Irvine★★★★★(1)
• Machine Learning: Unsupervised Learning –  Brown University ★★★★☆(1)
• Advanced Algorithms and Complexity –  University of California, San Diego★★★☆☆(1)
• Software Architecture & Design –  Georgia Institute of Technology ★★★★★(1)
• Responsive Website Tutorial and Examples –  University of London International Programmes ★★★★★(1)
• Managing an Agile Team –  University of Virginia ★★☆☆☆(1)
• MATLAB and Octave for Beginners –  École Polytechnique Fédérale de Lausanne★☆☆☆☆(1)
• Web Application Development: Basic Concepts –  University of New Mexico★★★★☆(1)
• Android: Introducción a la Programación –  Universitat Politècnica de València★★★★☆(1)
• Algorithms –  Indian Institute of Technology Bombay ★★★★★(1)
• Android Basics: Multiscreen Apps –  Google ★★★★☆(1)
• Developing Scalable Apps in Java –  Google ★★★★☆(1)
• Google Cloud Platform Fundamentals: Core Infrastructure –  Google★★★★☆(1)
• Gradle for Android and Java –  Google ★★★★★(1)
• Developing Scalable Apps in Python –  Google ★★★★☆(1)
• JavaScript Promises –  Google ★★★★★(1)
• Principles of Machine Learning –  Microsoft ★★★★★(1)
• 用Python玩转数据 Data Processing Using Python –  Nanjing University★★★★★(1)
• Cybersecurity and Mobility –  University System of Georgia ★☆☆☆☆(1)
• HTML5 Apps and Games –  World Wide Web Consortium (W3C) ★★★☆☆(1)
• Technical Interview –  Pramp ★★★★★(1)
• Networking for Web Developers
• Intro to Theoretical Computer Science
• Using Python for Research –  Harvard University
• Language, Proof and Logic –  Stanford University
• Graph Search, Shortest Paths, and Data Structures –  Stanford University
• Divide and Conquer, Sorting and Searching, and Randomized Algorithms –  Stanford University
• Shortest Paths Revisited, NP-Complete Problems and What To Do About Them –  Stanford University
• Probabilistic Graphical Models 3: Learning –  Stanford University
• Algorithms: Design and Analysis –  Stanford University
• Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming –  Stanford University
• Algorithms: Design and Analysis, Part 2 –  Stanford University
• Mobile Application Experiences Part 3: Building Mobile Apps –  Massachusetts Institute of Technology
• Computational Thinking for Modeling and Simulation –  Massachusetts Institute of Technology
• Advanced Software Construction in Java –  Massachusetts Institute of Technology
• Mobile Application Experiences –  Massachusetts Institute of Technology
• Computation Structures 2: Computer Architecture –  Massachusetts Institute of Technology
• Foundations of Data Science: Prediction and Machine Learning –  University of California, Berkeley
• Bitcoin and Cryptocurrencies –  University of California, Berkeley
• Blockchain Technology –  University of California, Berkeley
• Algorithm Design and Analysis –  University of Pennsylvania
• Data Structures and Software Design –  University of Pennsylvania
• Software Development Fundamentals –  University of Pennsylvania
• Introduction to Neurohacking In R –  Johns Hopkins University
• Networking and Security in iOS Applications –  University of California, Irvine
• Games, Sensors and Media –  University of California, Irvine
• Toward the Future of iOS Development with Swift –  University of California, Irvine
• Building Web Applications in PHP –  University of Michigan
• Introduction to Machine Learning –  Duke University
• Computer Science: Algorithms, Theory, and Machines –  Princeton University
• Introduction to Graduate Algorithms –  Georgia Institute of Technology
• Software Analysis & Testing –  Georgia Institute of Technology
• Database Systems Concepts & Design –  Georgia Institute of Technology
• Database Systems Concepts and Design –  Georgia Institute of Technology
• Animation and CGI Motion –  Columbia University
• Data Analytics Foundations for Accountancy II –  University of Illinois at Urbana-Champaign
• Data Structures: An Active Learning Approach –  University of California, San Diego
• Creating Virtual Reality (VR) Apps –  University of California, San Diego
• Internet of Things: Sensing and Actuation –  Devices  –  University of California, San Diego
• How Virtual Reality Works –  University of California, San Diego
• String Processing and Pattern Matching Algorithms –  University of California, San Diego
• Algorithmic Design and Techniques –  University of California, San Diego
• Minecraft, Coding and Teaching –  University of California, San Diego
• Graph Algorithms –  University of California, San Diego
• Machine Learning Fundamentals –  University of California, San Diego
• Data Structures Fundamentals –  University of California, San Diego
• Finding Your Cybersecurity Career Path –  University of Washington
• Programming Languages, Part B –  University of Washington
• Building a Cybersecurity Toolkit –  University of Washington
• Cybersecurity: The CISO’s View –  University of Washington
• Programming Languages, Part C –  University of Washington
• Mathematics for Computer Science –  University of London International Programmes
• 3D Models for Virtual Reality –  University of London International Programmes
• Build Your Own iOS App –  University of Toronto
• Blockchain Basics –  University at Buffalo
• Smart Contracts –  University at Buffalo
• Blockchain Platforms –  University at Buffalo
• Decentralized Applications (Dapps) –  University at Buffalo
• 面向对象技术高级课程（The Advanced Object-Oriented Technology） –  Peking University
• 算法设计与分析 Design and Analysis of Algorithms –  Peking University
• Software Construction: Object-Oriented Design –  The University of British Columbia
• Software Construction: Data Abstraction –  The University of British Columbia
• How to Code: Complex Data –  The University of British Columbia
• Testing with Agile –  University of Virginia
• Running Product Design Sprints –  University of Virginia
• NoSQL Database Systems –  Arizona State University
• Moving to the Cloud –  University of Melbourne
• SQL for Data Science –  University of California, Davis
• LAFF – On Programming for Correctness –  The University of Texas at Austin
• Документы и презентации в LaTeX (Introduction to LaTeX) –  Higher School of Economics
• Agile Software Development –  University of Minnesota
• Lean Software Development –  University of Minnesota
• Software Development Processes and Methodologies –  University of Minnesota
• Android App Components – Services, Local IPC, and Content Providers –  Vanderbilt University
• Android App Components – Intents, Activities, and Broadcast Receivers –  Vanderbilt University
• Engineering Maintainable Android Apps –  Vanderbilt University
• Java for Android –  Vanderbilt University
• Front-End JavaScript Frameworks: Angular –  The Hong Kong University of Science and Technology
• Server-side Development with NodeJS, Express and MongoDB –  The Hong Kong University of Science and Technology
• Front-End Web UI Frameworks and Tools: Bootstrap 4 –  The Hong Kong University of Science and Technology
• Developing Android Apps with App Inventor –  The Hong Kong University of Science and Technology
• Multiplatform Mobile App Development with React Native –  The Hong Kong University of Science and Technology
• Multiplatform Mobile App Development with NativeScript –  The Hong Kong University of Science and Technology
• Front-End Web Development with React –  The Hong Kong University of Science and Technology
• Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova –  The Hong Kong University of Science and Technology
• Global Software Development –  Delft University of Technology
• Automated Software Testing: Practical Skills for Java Developers –  Delft University of Technology
• Automated Software Testing: Advanced Skills for Java Developers –  Delft University of Technology
• Основы HTML и CSS –  Moscow Institute of Physics and Technology
• Building Arduino robots and devices –  Moscow Institute of Physics and Technology
• Быстрый старт в разработке Android-приложений –  Moscow Institute of Physics and Technology
• Разработка веб-сервисов на Golang, часть 2 –  Moscow Institute of Physics and Technology
• Введение в iOS-разработку –  Moscow Institute of Physics and Technology
• NoSQL systems –  Universidad Nacional Autónoma de México
• Relational database systems –  Universidad Nacional Autónoma de México
• Fundamentos de Android –  Universidad Nacional Autónoma de México
• Implementation of Data Structures –  Indian Institute of Technology Bombay
• Foundations of Data Structures –  Indian Institute of Technology Bombay
• Professional Android App Development –  Galileo University
• Сетевое администрирование: от теории к практике –  Tsinghua University
• Enterprise Software Lifecycle Management –  National Research Nuclear University MEPhI
• Использование механизмов операционных систем в разработке программного обеспечения –  National Research Nuclear University MEPhI
• Introduction to Java Programming: Fundamental Data Structures and Algorithms –  Universidad Carlos iii de Madrid
• The Software Architect Code: Building the Digital World –  Universidad Carlos iii de Madrid
• Design Patterns –  University of Alberta
• Software Architecture –  University of Alberta
• Object-Oriented Design –  University of Alberta
• Reviews & Metrics for Software Improvements –  University of Alberta
• Service-Oriented Architecture –  University of Alberta
• Web Connectivity and Security in Embedded Systems –  EIT Digital
• Architecting Smart IoT Devices –  EIT Digital
• Software Architecture for the Internet of Things –  EIT Digital
• Introduction to Architecting Smart IoT Devices –  EIT Digital
• Google Cloud Platform Fundamentals for AWS Professionals –  Google Cloud
• Advanced Android App Development –  Google
• Android Basics: User Input –  Google
• Intro to Progressive Web Apps –  Google
• Material Design for Android Developers –  Google
• VR Software Development –  Google
• Android Basics: User Interface –  Google
• Android Basics: Button Clicks –  Google
• Intro to Data Structures and Algorithms –  Google
• Android Basics: Networking –  Google
• Client-Server Communication –  Google
• Google Maps APIs –  Google
• Scalable Microservices with Kubernetes –  Google
• Offline Web Applications –  Google
• Firebase Essentials For Android –  Google
• Android Performance –  Google
• Developing Android Apps with Kotlin –  Google
• Advanced CSS Concepts –  Microsoft
• AngularJS: Framework Fundamentals –  Microsoft
• Algorithms and Data Structures in C# –  Microsoft
• Introduction to C# –  Microsoft
• AngularJS: Advanced Framework Techniques –  Microsoft
• Creating Programmatic SQL Database Objects –  Microsoft
• Implementing In-Memory SQL Database Objects –  Microsoft
• Application Design Considerations: An Inclusive Approach –  Microsoft
• Introduction to TypeScript 2 –  Microsoft
• Designing Data Platform Solutions –  Microsoft
• Applied Machine Learning –  Microsoft
• Developing SQL Databases –  Microsoft
• Building Interactive Prototypes using JavaScript –  Microsoft
• Building Functional Prototypes using Node.js –  Microsoft
• Algorithms and Data Structures –  Microsoft
• Optimizing Performance for SQL Based Applications –  Microsoft
• Developing Intelligent Apps and Bots –  Microsoft
• Build a Modern Computer –  First Principles: Nand to Tetris Part II (project-centered course)  –  Hebrew University of Jerusalem
• Programmation iOS (partie I) –  Sorbonne Universités
• Programmation iOS (partie II) –  Sorbonne Universités
• Introduction to Data Structures –  University of Adelaide
• Introduction to Computation Theory –  Santa Fe Institute
• Fundamentals of Machine Learning –  Santa Fe Institute
• Peer-to-Peer Protocols and Local Area Networks –  University of Colorado System
• Requirements Specifications: Goals and Conflict Analysis –  University of Colorado System
• Software Requirements Prioritization: Risk Analysis –  University of Colorado System
• Introduction to Web Cartography: Part 1 –  ETH Zurich
• Requirements Gathering for Secure Software Development –  University of Colorado System
• Cloud Computing Security –  University of Colorado System
• Homeland Security & Cybersecurity Connection – It’s Not About the Terrorists –  University of Colorado System
• Requirements Elicitation: Artifact and Stakeholder Analysis –  University of Colorado System
• Introduction to C# Programming and Unity –  University of Colorado System
• Intermediate Object-Oriented Programming for Unity Games –  University of Colorado System
• Asymmetric Cryptography and Key Management –  University of Colorado System
• Software Design Threats and Mitigations –  University of Colorado System
• Packet Switching Networks and Algorithms –  University of Colorado System
• Symmetric Cryptography –  University of Colorado System
• Data Structures and Design Patterns for Game Developers –  University of Colorado System
• Basic Cryptography and Programming with Crypto API –  University of Colorado System
• Design and Analyze Secure Networked Systems –  University of Colorado System
• Linux Server Management and Security –  University of Colorado System
• Detecting and Mitigating Cyber Threats and Attacks –  University of Colorado System
• SRS Documents: Requirements and Diagrammatic Notations –  University of Colorado System
• Hacking and Patching –  University of Colorado System
• More C# Programming and Unity –  University of Colorado System
• Fundamentals of Network Communication –  University of Colorado System
• Introduction to Kubernetes –  Linux Foundation
• Introduction to Cloud Infrastructure Technologies –  Linux Foundation
• Machine Learning for Musicians and Artists –  Goldsmiths, University of London
• 2D Game Development with libGDX –  Amazon
• Introduction to DevOps: Transforming and Improving Operations –  Linux Foundation
• Cybersecurity and the X-Factor –  University System of Georgia
• Cybersecurity and the Internet of Things –  University System of Georgia
• Cybersecurity and Privacy in the IoT –  Curtin University
• Web App Development with the Power of Node.js –  Technische Universität München (Technical University of Munich)
• IoT System Architecture: Design and Evaluation –  Waseda University
• Mobile Design and Usability for Android –  Facebook
• Mobile Design and Usability for iOS –  Facebook
• Orientação a Objetos com Java –  Instituto Tecnológico de Aeronáutica
• Overview of Advanced Methods of Reinforcement Learning in Finance –  New York University (NYU)
• Guided Tour of Machine Learning in Finance –  New York University (NYU)
• Real-Time Cyber Threat Detection and Mitigation –  New York University (NYU)
• UML Class Diagrams for Software Engineering –  KU Leuven University
• Fundamentals of Machine Learning in Finance –  New York University (NYU)
• Teamwork & Collaboration –  Rochester Institute of Technology
• Gameplay Programming for Video Game Designers –  Rochester Institute of Technology
• Cybersecurity Fundamentals –  Rochester Institute of Technology
• Advanced Algorithmics and Graph Theory with Python –  Institut Mines-Télécom
• Programming for Everyone – An Introduction to Visual Programming Languages –  Weizmann Institute of Science
• Introdução ao Teste de Software –  Universidade de São Paulo
• Concurrency –  AdaCore University
• M220J: MongoDB for Java Developers –  MongoDB University
• How to Win Coding Competitions: Secrets of Champions –  ITMO University
• Основы программирования мобильных приложений для Android –  ITMO University
• M220JS: MongoDB for Javascript Developers –  MongoDB University
• Software Testing Fundamentals –  University System of Maryland
• Desarrollo de Aplicaciones Mobile Multiplataforma con Nativescript, Angular y Redux –  Universidad Austral
• Formal Software Verification –  University System of Maryland
• Cloud Computing Infrastructure –  University System of Maryland
• Software Testing Management –  University System of Maryland
• Cloud Computing Management –  University System of Maryland
• Cloud Computing for Enterprises –  University System of Maryland
• An Introduction to Practical Deep Learning –  Intel
• Designing RESTful APIs
• Deploying Applications with Heroku
• How to create in Android
• Learn Backbone.js
• Fundamentals of Parallelism on Intel Architecture –  Intel
• Dynamic Web Applications with Sinatra
• VR Design
• Android Basics: Data Storage
• Fundamentals of Red Hat Enterprise Linux –  Red Hat
• Introduction: Elements of Microgame Design –  Worcester Polytechnic Institute
• Intro to TensorFlow for Deep Learning
• Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla –  Universidad del Rosario
• SQL for Data Analysis
• Hacker101 –  HackerOne
• iOS Networking with Swift
• Fundamentals of Containers, Kubernetes, and Red Hat OpenShift –  Red Hat
• VR Platforms & Applications
• How to Make an iOS App
• iOS Persistence and Core Data
• Developing Android Apps
• iOS Design Patterns
• Building iOS Interfaces
• Swift for Developers
• VR Scenes and Objects
• UIKit Fundamentals
• Foundations of Machine Learning –  Bloomberg

Nivel avanzado (140 cursos)

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