Accede a más de 600 cursos gratuitos que comienzan este mes en diversas plataformas MOOC como Coursera, Standford, edX, Udacity…

A continuación, la lista completa. Aquellos con la etiqueta [– Nuevo –] son cursos nuevos que acaban de publicarse. Otros son cursos recurrentes. Las estrellas muestran la valoración promedio de los estudiantes que los han cursado. El número entre paréntesis representa el número de votos utilizados para el cálculo de la puntuación.

Nivel principiante (175 cursos)

• [– Nuevo –] Unix Tools: Data, Software and Production Engineering – Delft University of Technology
• An Introduction to Interactive Programming in Python (Part 1) – Rice University★★★★★(3172)
• Elements of AI – University of Helsinki★★★★★(317)
• Introduction to Computer Science and Programming Using Python – Massachusetts Institute of Technology★★★★☆(122)
• Learn to Program: The Fundamentals – University of Toronto★★★★★(105)
• CS50’s Introduction to Computer Science – Harvard University★★★★★(79)
• Ruby on Rails: An Introduction – Johns Hopkins University★★★☆☆(56)
• Introduction to HTML5 – University of Michigan★★★★☆(42)
• Internet History, Technology, and Security – University of Michigan★★★★★(37)
• Introduction to Linux – Linux Foundation★★★★☆(37)
• Intro to HTML and CSS
• Unlocking Information Security: Part Ⅰ – Tel Aviv University★★★★★(28)
• Build a Modern Computer – First Principles: – Nand to Tetris (Project-Centered Course) – Hebrew University of Jerusalem★★★★★(25)
• Web Security Fundamentals – KU Leuven University★★★★☆(22)
• Computer Science 101 – Stanford University★★★★☆(17)
• Fundamentos TIC para profesionales de negocios: Desarrollo de Software – Universitat Politècnica de València★★★★☆(17)
• HTML, CSS, and Javascript for Web Developers – Johns Hopkins University★★★★★(14)
• Introduction to CSS3 – University of Michigan★★★★★(13)
• Programming Basics – Indian Institute of Technology Bombay★★☆☆☆(13)
• Fundamentos TIC para profesionales de negocios: Aplicaciones empresariales – Universitat Politècnica de València★★★★★(13)
• Introduction to Computer Networking – Stanford University★★★★★(12)
• Introduction to the Internet of Things and Embedded Systems – University of California, Irvine★★★★☆(12)
• Creative Programming for Digital Media & Mobile Apps – University of London International Programmes★★★★☆(11)
• Introduction to Programming for the Visual Arts with p5.js – University of California, Los Angeles★★★★★(10)
• HTML5 Coding Essentials and Best Practices – World Wide Web Consortium (W3C)★★★★☆(10)
• Learn to Program: Crafting Quality Code – University of Toronto★★★★☆(9)
• Usable Security – University of Maryland, College Park★★★☆☆(9)
• Introduction to Bootstrap – A Tutorial – Microsoft★★★☆☆(9)
• Diagramas UML estructurales para la Ingeniería del Software – Universitat Politècnica de València★★★★★(8)
• Unlocking Information Security: Part ⅠⅠ – Tel Aviv University★★★★☆(7)
• Intro to Relational Databases
• Linux Command Line Basics
• How To Create a Website in a Weekend! (Project-Centered Course) – State University of New York★★★★☆(6)
• Introduction to jQuery – Microsoft★★★★☆(6)
• Paradigms of Computer Programming – Abstraction and Concurrency – Université catholique de Louvain★★★★☆(5)
• Paradigms of Computer Programming – Fundamentals – Université catholique de Louvain★★★★★(5)
• HTML5 and CSS Fundamentals – World Wide Web Consortium (W3C)★★★★☆(5)
• CS50’s Web Programming with Python and JavaScript – Harvard University★★★★★(4)
• Technical Support Fundamentals – Google★★☆☆☆(4)
• Programming in Scratch – Harvey Mudd College★★★★★(4)
• Introduction to Computing using Python – Georgia Institute of Technology★★★★★(3)
• Web Development and Design using WordPress – California Institute of the Arts★★★★☆(3)
• Object-Oriented Programming – Indian Institute of Technology Bombay★★★☆☆(3)
• Web Coding Fundamentals: HTML, CSS and Javascript – National University of Singapore★★★★★(3)
• Learn to Program in Java – Microsoft★★★★★(3)
• Version Control with Git – Atlassian★★★★★(3)
• The Unix Workbench – Johns Hopkins University★★★★☆(2)
• The Beauty and Joy of Computing – AP® CS Principles Part 1 – University of California, Berkeley★★★★★(2)
• Web Design: Strategy and Information Architecture – California Institute of the Arts★★★★★(2)
• Introduction to the Internet of Things (IoT) (COMING 2020) – Curtin University★★★☆☆(2)
• C Programming: Modular Programming and Memory Management – Dartmouth★★★★★(2)
• Linux Basics: The Command Line Interface – Dartmouth★★★★★(2)
• Create. Code. – University of Adelaide★★★★★(2)
• The Computing Technology Inside Your Smartphone – Cornell University★★★★★(2)
• Logic and Computational Thinking – Microsoft★★★★★(2)
• Introduction to NodeJS – Microsoft★★★★★(2)
• Introduction to HTML and JavaScript – Microsoft★★★★★(2)
• Software Engineering Essentials – Technische Universität München (Technical University of Munich)★★★★☆(2)
• CS For All: Introduction to Computer Science and Python Programming – Harvey Mudd College★★★★★(2)
• Web Applications for Everybody
• Version Control with Git
• CS50’s Mobile App Development with React Native – Harvard University★★★★☆(1)
• CS50’s AP® Computer Science Principles – Harvard University★★★★★(1)
• CS50’s Introduction to Game Development – Harvard University★★★★★(1)
• CS50’s Computer Science for Business Professionals – Harvard University★★★★★(1)
• CS50’s Understanding Technology – Harvard University★★★★★(1)
• Building Database Applications in PHP – University of Michigan★★★★★(1)
• Introduction to Structured Query Language (SQL) – University of Michigan★★★★★(1)
• Networks: Friends, Money, and Bytes – Princeton University★★★☆☆(1)
• Introduction to Virtual Reality – University of London International Programmes★★★★★(1)
• Introduction to Computer Programming from University of London International Programmes★★★★★(1)
• How Computers Work – University of London International Programmes★★★★★(1)
• Software Engineering: Introduction – The University of British Columbia★★★★★(1)
• Python Programming Essentials – Rice University★★★★★(1)
• Introduction to Web Development – University of California, Davis★★★☆☆(1)
• Cyber Security Economics – Delft University of Technology★★☆☆☆(1)
• C Programming: Language Foundations – Institut Mines-Télécom★★★★★(1)
• C Programming: Pointers and Memory Management – Dartmouth★★★★★(1)
• C Programming: Using Linux Tools and Libraries – Dartmouth★★★★★(1)
• Creative Coding – New York University (NYU)★★★★☆(1)
• Lernen objekt-orientierter Programmierung – Technische Universität München (Technical University of Munich)★★★★★(1)
• Introducción a la programación en Python I: Aprendiendo a programar con Python – Pontificia Universidad Católica de Chile★★★★★(1)
• C for Everyone: Programming Fundamentals – University of California, Santa Cruz★★★★☆(1)
• Computing: Art, Magic, Science – ETH Zurich★★★★☆(1)
• Computing Form and Shape: Python Programming with the Rhinoscript Library – Rhode Island School of Design★★★★★(1)
• MyCS: Computer Science for Beginners – Harvey Mudd College★★★☆☆(1)
• Blockchain in the Energy Sector – InnoEnergy★★☆☆☆(1)
• ES6 – JavaScript Improved
• CS50 for Lawyers – Harvard University
• Principles of Computing – Stanford University
• Hacker Tools – Massachusetts Institute of Technology
• Computational Thinking for Problem Solving – University of Pennsylvania
• JavaScript, jQuery, and JSON – University of Michigan
• The Blockchain System – University of California, Irvine
• The Blockchain – University of California, Irvine
• The Beauty and Joy of Computing – AP® CS Principles Part 2 – University of California, Berkeley
• The Beauty and Joy of Computing (CS Principles), Part 1 – University of California, Berkeley
• The Beauty and Joy of Computing (CS Principles), Part 4 – University of California, Berkeley
• The Beauty and Joy of Computing (CS Principles), Part 3 – University of California, Berkeley
• Programming Fundamentals – Duke University
• Interacting with the System and Managing Memory – Duke University
• Computer Science: Programming with a Purpose – Princeton University
• Introduction to Internationalization and Localization – University of Washington
• Introduction to Cybersecurity – University of Washington
• Building Interactive 3D Characters and Social VR – University of London International Programmes
• Coding for Designers, Managers, & Entrepreneurs II – University of Virginia
• Coding for Designers, Managers, & Entrepreneurs III – University of Virginia
• Coding for Designers, Managers, & Entrepreneurs I – University of Virginia
• Identifying Security Vulnerabilities – University of California, Davis
• Computational Social Science Methods – University of California, Davis
• Principles of Secure Coding – University of California, Davis
• Введение в базы данных – Petersburg State Polytechnic University
• Cloud Security Basics – University of Minnesota
• Scratch: Programmeren voor kinderen (8+) – Delft University of Technology
• 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
• AP Computer Science A: Java Programming Classes and Objects – Purdue University
• Programmazione I – University of Naples Federico II
• LaTeX for Students, Engineers, and Scientists – Indian Institute of Technology Bombay
• Основы проектирования приложений интернета вещейfrom Moscow Institute of Physics and Technology
• Тонкости верстки – Moscow Institute of Physics and Technology
• TCP/IP and Advanced Topics – University of Colorado System
• Software Design as an Abstraction – University of Colorado System
• Software Design Methods and Tools – University of Colorado System
• Software Design as an Element of the Software Development Lifecycle – University of Colorado System
• Introduction to Cybersecurity for Business – University of Colorado System
• Proactive Computer Security – University of Colorado System
• Introduction to the Internet of Things – Universitat Politècnica de València
• Базы данных (Databases) – Saint Petersburg State University
• Cyber Security Basics: A Hands-on Approach – Universidad Carlos iii de Madrid
• Deep Learning for Business – Yonsei University
• Introduction to TCP/IP – Yonsei University
• Video Game Design and Balance – Rochester Institute of Technology
• Problem Solving, Python Programming, and Video Games – University of Alberta
• Blockchain 360: A State of the Art for Professionals – EIT Digital
• Getting Started with AWS Machine Learning – Amazon Web Services
• AWS Fundamentals: Addressing Security Risk – Amazon Web Services
• Introduzione a LaTeX – University of Modena and Reggio Emilia
• C Programming: Advanced Data Types – Dartmouth
• C Programming: Getting Started – Dartmouth
• Introdução à Ciência da Computação com Python Parte 2 – Universidade de São Paulo
• Introdução à Ciência da Computação com Python Parte 1 – Universidade de São Paulo
• Introduction to Git and GitHub – Google
• Web Accessibility – Google
• Programación Orientada a Objetos con Python – Universidad Austral
• Diseñando páginas web con Bootstrap 4 – Universidad Austral
• Introducción a la programación en C: Instrucciones de control y ficheros de texto – Universidad Autónoma de Madrid
• CSS Basics – Microsoft
• Writing Professional Code – Microsoft
• Object Oriented Programming in Java – Microsoft
• Introduction to Design Thinking – Microsoft
• How Entrepreneurs in Emerging Markets can master the Blockchain Technology – University of Cape Town
• Basics of Computing and Programming – New York University (NYU)
• Computer Hardware and Operating Systems – New York University (NYU)
• Introduction to Networking – New York University (NYU)
• Introduction to Cyber Attacks – New York University (NYU)
• Cyber Attack Countermeasures – New York University (NYU)
• AI for Everyone: Master the Basics – IBM
• C for Everyone: Structured Programming – University of California, Santa Cruz
• Introduction to Open Source Networking Technologies – Linux Foundation
• Introduction to Site Reliability Engineering and DevOps – Linux Foundation
• Blockchain: Understanding Its Uses and Implications – Linux Foundation
• Internet Connection: How to Get Online? – Cisco
• Home Networking Basics – Cisco
• Computing: Art, Magic, Science – Part II – ETH Zurich
• Mobile Computing with App Inventor – CS Principles – 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 – Tokyo Institute of Technology
• Programming 102: Think Like a Computer Scientist – Raspberry Pi Foundation
• Introduction to Web Accessibility – World Wide Web Consortium (W3C)
• Introduction to MongoDB – MongoDB University
• Programación Orientada a Objetos (POO) – MéxicoX
• Information Technology Foundations – Western Governors University
• Scripting and Programming Foundations – Western Governors University
• HTTP & Web Servers
• Introduction to Virtual Reality

Nivel intermedio (310 cursos)

• Using Databases with Python – University of Michigan★★★★★(1527)
• Machine Learning – Stanford University★★★★★(353)
• Machine Learning for Musicians and Artists – Goldsmiths, University of London★★★★★(79)
• Divide and Conquer, Sorting and Searching, and Randomized Algorithms – Stanford University★★★★★(68)
• Functional Programming Principles in Scala – École Polytechnique Fédérale de Lausanne★★★★★(66)
• Algorithms, Part I – Princeton University★★★★★(60)
• 1x: Artificial Intelligence – University of California, Berkeley★★★★★(31)
• Principles of Computing (Part 1) – Rice University★★★★★(30)
• Practical Machine Learning – Johns Hopkins University★★★☆☆(26)
• Software Security from University of Maryland, College Park★★★★☆(26)
• Responsive Website Basics: Code with HTML, CSS, and JavaScript from University of London International Programmes★★★★☆(25)
• [– Nuevo –] Deep Learning Essentials – Université de Montréal
• [– Nuevo –] Bias and Discrimination in AI – Université de Montréal
• Algorithmic Toolbox – University of California, San Diego ★★★★☆(23)
• Programming Languages, Part A – University of Washington★★★★★(22)
• Cloud Computing Concepts, Part 1 – University of Illinois at Urbana-Champaign★★★☆☆(21)
• Algorithms, Part II – Princeton University★★★★★(21)
• Automata Theory – Stanford University★★★★☆(20)
• Introduction to Machine Learning Course – Stanford University★★★★☆(19)
• C++ For C Programmers, Part A – University of California, Santa Cruz★★★☆☆(18)
• The Nature of Code – Processing Foundation★★★★★(18)
• Julia Scientific Programming – University of Cape Town★★★★☆(17)
• Principles of Computing (Part 2) – Rice University★★★★☆(16)
• Algorithmic Thinking (Part 1) – Rice University★★★★☆(15)
• Text Retrieval and Search Engines – University of Illinois at Urbana-Champaign★★★☆☆(14)
• Design of Computer Programs – Stanford University★★★★☆(13)
• Object-Oriented Design – University of Alberta★★★★☆(13)
• Responsive Web Design – University of London International Programmes★★★★☆(12)
• How to Code: Simple Data – The University of British Columbia★★★★☆(12)
• Introduction to Game Development – Michigan State University★★★★★(12)
• Discrete Optimization – University of Melbourne★★★★☆(12)
• Introduction to Software Product Management – University of Alberta★★★★☆(12)
• Interactivity with JavaScript – University of Michigan★★★★☆(11)
• Introduction to Functional Programming – Delft University of Technology★★★★☆(11)
• Programming Languages – University of Virginia★★★☆☆(10)
• Learning – Data (Introductory Machine Learning course) – California Institute of Technology★★★★★(10)
• Using Python for Research – Harvard University★★★☆☆(9)
• Algorithmic Thinking (Part 2) – Rice University★★★★☆(9)
• Responsive Web Design Fundamentals – Google★★★★★(9)
• Data Wrangling with MongoDB – MongoDB University★★★☆☆(9)
• Advanced Styling with Responsive Design – University of Michigan★★★★☆(8)
• Data Structures – University of California, San Diego ★★★★☆(8)
• Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure – University of Illinois at Urbana-Champaign★★★☆☆(8)
• Design Patterns – University of Alberta★★★★☆(8)
• Full Stack Foundations
• Image and Video Processing: – Mars to Hollywood with a Stop at the Hospital – Duke University★★★★☆(7)
• Guided Tour of Machine Learning in Finance – New York University (NYU)★☆☆☆☆(7)
• Software Testing – University of Utah★★★★☆(7)
• Intro to DevOps – Nutanix★★★☆☆(7)
• Intro to AJAX
• Ruby on Rails Web Services and Integration with MongoDB – Johns Hopkins University★★★★★(6)
• Computer Networking – Georgia Institute of Technology★★★★☆(6)
• Data Structures and Performance – University of California, San Diego ★★★★☆(6)
• Computer Graphics – University of California, San Diego ★★★★☆(6)
• Internet of Things: How did we get here? – University of California, San Diego ★★☆☆☆(6)
• Computer Architecture – Princeton University★★★★☆(6)
• Software Defined Networking – Princeton University★★★★☆(6)
• Introduction to Meteor.js Development from University of London International Programmes★★★★☆(6)
• Web Application Development with JavaScript and MongoDB – University of London International Programmes★★★★☆(6)
• MATLAB and Octave for Beginners – École Polytechnique Fédérale de Lausanne★★★★☆(6)
• Client Needs and Software Requirements from University of Alberta★★★★★(6)
• Scalable Microservices with Kubernetes – Google★★★☆☆(6)
• Intro to Algorithms
• Software Construction in Java – Massachusetts Institute of Technology★★★★★(5)
• Software Development Process – Georgia Institute of Technology★★★★☆(5)
• Data Structures: An Active Learning Approach – University of California, San Diego ★★★★★(5)
• Cloud Networking – University of Illinois at Urbana-Champaign★★★★☆(5)
• Software Debugging – Saarland University★★★★★(5)
• Parallel Programming Concepts
• Algorithms on Strings – University of California, San Diego ★★★☆☆(4)
• Rails with Active Record and Action Pack – Johns Hopkins University★★★★☆(4)
• Internet of Things: Setting Up Your DragonBoard™ Development Platform – University of California, San Diego ★★★☆☆(4)
• Cloud Computing Concepts: Part 2 – University of Illinois at Urbana-Champaign★★★★★(4)
• Analysis of Algorithms – Princeton University★★★★★(4)
• Database Management Essentials – University of Colorado System★★★★☆(4)
• Google Cloud Platform Fundamentals: Core Infrastructure – Google★★★★☆(4)
• JavaScript Promises – Google★★★★★(4)
• Website Performance Optimization – Google★★★★☆(4)
• UX Design for Mobile Developers – Google★★★★★(4)
• Fundamentals of Machine Learning – Santa Fe Institute★★★★★(4)
• Querying Data with Transact-SQL – Microsoft★★★★☆(4)
• Practical Numerical Methods with Python – George Washington University★★★★☆(4)
• Interactive Computer Graphics – The University of Tokyo★★☆☆☆(4)
• Programming for Everyone – An Introduction to Visual Programming Languages – Weizmann Institute of Science★★★★★(4)
• Machine Learning: Unsupervised Learning – Brown University★★★☆☆(3)
• Mastering the Software Engineering Interview – University of California, San Diego ★★★★☆(3)
• Machine Learning Fundamentals – University of California, San Diego ★★★★☆(3)
• Internet of Things: Communication Technologies – University of California, San Diego ★★★☆☆(3)
• Animation and CGI Motion – Columbia University★★★☆☆(3)
• Networks Illustrated: Principles without Calculus – Princeton University★★★★☆(3)
• Programming Languages, Part B – University of Washington★★★★☆(3)
• DevOps for Developers: How to Get Started – Microsoft★★★★☆(3)
• Autonomous Mobile Robots – ETH Zurich★★★☆☆(3)
• JavaScript Testing
• Configuring Linux Web Servers
• Compilers – Stanford University★★★★☆(2)
• Language, Proof and Logic – Stanford University★★★★★(2)
• Mobile Application Experiences Part 1: – a Domain to an App Idea – Massachusetts Institute of Technology★★★★★(2)
• Algorithms on Graphs – University of California, San Diego ★★★★☆(2)
• Software Architecture & Design – Georgia Institute of Technology★★★★★(2)
• Algorithmic Design and Techniques – University of California, San Diego ★★★☆☆(2)
• Advanced Data Structures in Java – University of California, San Diego ★★★★☆(2)
• Programming Languages, Part C – University of Washington★★★★☆(2)
• Responsive Website Tutorial and Examples – University of London International Programmes★★★★★(2)
• How to Code: Complex Data – The University of British Columbia★★★★★(2)
• Software Testing Management – University System of Maryland★★☆☆☆(2)
• Service-Oriented Architecture – University of Alberta★★★★★(2)
• Browser Rendering Optimization – Google★★★★☆(2)
• Client-Server Communication – Google★★★★★(2)
• Developing International Software, Part 1 – Microsoft★★★★☆(2)
• Build a Modern Computer – First Principles: Nand to Tetris Part II (project-centered course) – Hebrew University of Jerusalem★★★★★(2)
• Approximation Algorithms Part I – École normale supérieure★★★★★(2)
• SQL for Data Analysis
• Networking for Web Developers
• Computation Structures 2: Computer Architecture – Massachusetts Institute of Technology★★★★☆(1)
• Computational Thinking for Modeling and Simulation – Massachusetts Institute of Technology★★☆☆☆(1)
• Software Development Fundamentals – University of Pennsylvania★★★☆☆(1)
• Building Web Applications in PHP – University of Michigan★★★★★(1)
• Advanced Algorithms and Complexity – University of California, San Diego ★★★☆☆(1)
• Bitcoin and Cryptocurrencies – University of California, Berkeley★★★★★(1)
• Database Systems Concepts & Design – Georgia Institute of Technology★★★★☆(1)
• Introduction to Machine Learning – Duke University★★☆☆☆(1)
• 3D Models for Virtual Reality – University of London International Programmes★★★★★(1)
• Software Construction: Data Abstraction – The University of British Columbia★★★☆☆(1)
• Software Construction: Object-Oriented Design – The University of British Columbia★★☆☆☆(1)
• Running Product Design Sprints – University of Virginia★★★☆☆(1)
• SQL for Data Science – University of California, Davis★☆☆☆☆(1)
• Automated Software Testing: Unit Testing, Coverage Criteria and Design for Testability – Delft University of Technology★★★★☆(1)
• Server-side Development with NodeJS, Express and MongoDB – The Hong Kong University of Science and Technology★★★★★(1)
• Web Application Development: Basic Concepts – University of New Mexico★★★★☆(1)
• Algorithms – Indian Institute of Technology Bombay★★★★★(1)
• Formal Software Verification – University System of Maryland★★☆☆☆(1)
• Computer Forensics – Rochester Institute of Technology★★★★★(1)
• Paradigms of Computer Programming – Université catholique de Louvain★★★★☆(1)
• Software Architecture – University of Alberta★★★★☆(1)
• Software Architecture for the Internet of Things – EIT Digital ★★★★☆(1)
• Google Cloud Platform Fundamentals for AWS Professionals – Google Cloud★★☆☆☆(1)
• Google Maps APIs – Google★★★★★(1)
• Cybersecurity and Mobility – University System of Georgia★☆☆☆☆(1)
• Introduction to Computation Theory – Santa Fe Institute★★★★★(1)
• Algorithms and Data Structures – Microsoft★★☆☆☆(1)
• Introduction to C# – Microsoft★★☆☆☆(1)
• Building Interactive Prototypes using JavaScript – Microsoft★★★★☆(1)
• Developing SQL Databases – Microsoft★★☆☆☆(1)
• Principles of Machine Learning – Microsoft★★★★★(1)
• Introduction to TypeScript 2 – Microsoft★☆☆☆☆(1)
• Fundamentals of Machine Learning in Finance – New York University (NYU)★☆☆☆☆(1)
• Overview of Advanced Methods of Reinforcement Learning in Finance – New York University (NYU)★☆☆☆☆(1)
• Introduction to Cloud Infrastructure Technologies – Linux Foundation★★★★☆(1)
• 用Python玩转数据 Data Processing Using Python – Nanjing University★★★★★(1)
• 2D Game Development with libGDX – Amazon★★★★★(1)
• An Introduction to Practical Deep Learning – Intel★★★☆☆(1)
• Fundamentals of Parallelism on Intel Architecture – Intel★★★★★(1)
• How to Win Coding Competitions: Secrets of Champions – ITMO University★★★☆☆(1)
• HTML5 Apps and Games – World Wide Web Consortium (W3C)★★★☆☆(1)
• Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla – Universidad del Rosario★★★★★(1)
• Technical Interview – Pramp★★★★★(1)
• Designing RESTful APIs
• Foundations of Machine Learning – Bloomberg★★★★★(1)
• Intro to Theoretical Computer Science
• Algorithms: Design and Analysis – Stanford University
• Graph Search, Shortest Paths, and Data Structures – Stanford University
• Shortest Paths Revisited, NP-Complete Problems and What To Do About Them – Stanford University
• Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming – Stanford University
• Algorithms: Design and Analysis, Part 2 – Stanford University
• Probabilistic Graphical Models 3: Learning – Stanford University
• Mobile Application Experiences Part 3: Building Mobile Apps – Massachusetts Institute of Technology
• Advanced Software Construction in Java – Massachusetts Institute of Technology
• Mobile Application Experiences – Massachusetts Institute of Technology
• Algorithm Design and Analysis – University of Pennsylvania
• Data Structures and Software Design – University of Pennsylvania
• Introduction to Neurohacking In R – Johns Hopkins University
• The Merkle Tree and Cryptocurrencies – University of California, Irvine
• Games, Sensors and Media – University of California, Irvine
• Blockchain Technology – University of California, Berkeley
• Foundations of Data Science: Prediction and Machine Learning – University of California, Berkeley
• Database Systems Concepts and Design – Georgia Institute of Technology
• Introduction to Graduate Algorithms – Georgia Institute of Technology
• Software Analysis & Testing – Georgia Institute of Technology
• Human-Computer Interaction I: Fundamentals & Design Principles – Georgia Institute of Technology
• Human-Computer Interaction II: Cognition, Context & Culture – Georgia Institute of Technology
• Human-Computer Interaction III: Ethics, Needfinding & Prototyping – Georgia Institute of Technology
• Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond – Georgia Institute of Technology
• String Processing and Pattern Matching Algorithms – University of California, San Diego
• Minecraft, Coding and Teaching – University of California, San Diego
• How Virtual Reality Works – University of California, San Diego
• Creating Virtual Reality (VR) Apps – University of California, San Diego
• Data Structures Fundamentals – University of California, San Diego
• Graph Algorithms – University of California, San Diego
• Internet of Things: Sensing and Actuation – Devices – University of California, San Diego
• Java Programming: Build a Recommendation System – Duke University
• Machine Learning for Accounting with Python – University of Illinois at Urbana-Champaign
• Data Analytics Foundations for Accountancy II – University of Illinois at Urbana-Champaign
• Computer Science: Algorithms, Theory, and Machines – Princeton University
• Finding Your Cybersecurity Career Path – University of Washington
• Building a Cybersecurity Toolkit – University of Washington
• Cybersecurity: The CISO’s View – University of Washington
• Blockchain Basics – University at Buffalo
• Blockchain Platforms – University at Buffalo
• Decentralized Applications (Dapps) – University at Buffalo
• Smart Contracts – University at Buffalo
• Mathematics for Computer Science – University of London International Programmes
• 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
• Identifying Security Vulnerabilities in C/C++Programming – University of California, Davis
• Exploiting and Securing Vulnerabilities in Java Applications – University of California, Davis
• Moving to the Cloud – University of Melbourne
• Документы и презентации в LaTeX (Introduction to LaTeX) – Higher School of Economics
• LAFF – On Programming for Correctness – The University of Texas at Austin
• Lean Software Development – University of Minnesota
• Software Development Processes and Methodologies – University of Minnesota
• Engineering Practices for Building Quality Software – University of Minnesota
• Global Software Development – Delft University of Technology
• Automated Software Testing: Model and State-based Testing – Delft University of Technology
• Multiplatform Mobile App Development with NativeScript – 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 Web Technologies: Ionic and Cordova – 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
• Multiplatform Mobile App Development with React Native – The Hong Kong University of Science and Technology
• Foundations of Data Structures – Indian Institute of Technology Bombay
• Implementation of Data Structures – Indian Institute of Technology Bombay
• Разработка веб-сервисов на Golang, часть 2 – Moscow Institute of Physics and Technology
• Основы HTML и CSS – Moscow Institute of Physics and Technology
• Packet Switching Networks and Algorithms – University of Colorado System
• Cloud Computing Security – University of Colorado System
• Peer-to-Peer Protocols and Local Area Networks – University of Colorado System
• Detecting and Mitigating Cyber Threats and Attacks – University of Colorado System
• Data Structures and Design Patterns for Game Developers – University of Colorado System
• Software Design Threats and Mitigations – University of Colorado System
• Homeland Security & Cybersecurity Connection – It’s Not About the Terrorists – University of Colorado System
• Abstraction, Problem Decomposition, and Functions – University of Colorado System
• Linux Server Management and Security – University of Colorado System
• Hacking and Patching – University of Colorado System
• SRS Documents: Requirements and Diagrammatic Notations – University of Colorado System
• Requirements Specifications: Goals and Conflict Analysis – University of Colorado System
• Fundamentals of Network Communication – University of Colorado System
• Data Analysis and Representation, Selection and Iteration – University of Colorado System
• Algorithms, Data Collection, and Starting to Code – University of Colorado System
• Requirements Gathering for Secure Software Development – University of Colorado System
• Software Requirements Prioritization: Risk Analysis – University of Colorado System
• Requirements Elicitation: Artifact and Stakeholder Analysis – University of Colorado System
• NoSQL systems – Universidad Nacional Autónoma de México
• Relational database systems – Universidad Nacional Autónoma de México
• Сетевое администрирование: от теории к практике – Tsinghua University
• Основы и практическое применение блокчейна – Saint Petersburg State University
• Использование механизмов операционных систем в разработке программного обеспечения – National Research Nuclear University MEPhI
• Enterprise Software Lifecycle Management – National Research Nuclear University MEPhI
• Cloud Computing Infrastructure – University System of Maryland
• Cloud Computing for Enterprises – University System of Maryland
• Software Testing Fundamentals – University System of Maryland
• Cloud Computing Management – University System of Maryland
• The Software Architect Code: Building the Digital World – Universidad Carlos iii de Madrid
• Introduction to Java Programming: Fundamental Data Structures and Algorithms – Universidad Carlos iii de Madrid
• Gameplay Programming for Video Game Designers – Rochester Institute of Technology
• Teamwork & Collaboration – Rochester Institute of Technology
• Cybersecurity Risk Management – Rochester Institute of Technology
• Reviews & Metrics for Software Improvements – University of Alberta
• Introduction to Architecting Smart IoT Devices – EIT Digital
• Architecting Smart IoT Devices – EIT Digital
• Cybersecurity and Privacy in the IoT – Curtin University
• Communicating with Robots and Bots – Curtin University
• Client-based Web Applications development: ReactJS & Angular – Universidad Politécnica de Madrid
• Advanced Algorithmics and Graph Theory with Python – Institut Mines-Télécom
• Procedural Modelling – National University of Singapore
• Introdução ao Teste de Software – Universidade de São Paulo
• Using Machine Learning in Trading and Finance – New York Institute of Finance
• Intro to Data Structures and Algorithms – Google
• Offline Web Applications – Google
• Intro to Progressive Web Apps – Google
• Introduction to Data Structures – University of Adelaide
• Cybersecurity and the X-Factor – University System of Georgia
• Cybersecurity and the Internet of Things – University System of Georgia
• Building Cloud Apps with Microsoft Azure – Part 3 – Microsoft
• Building Functional Prototypes using Node.js – Microsoft
• Algorithms and Data Structures in C# – Microsoft
• Creating Programmatic SQL Database Objects – Microsoft
• AngularJS: Framework Fundamentals – Microsoft
• Application Design Considerations: An Inclusive Approach – Microsoft
• Designing Data Platform Solutions – Microsoft
• Optimizing Performance for SQL Based Applications – Microsoft
• Applied Machine Learning – Microsoft
• Advanced CSS Concepts – Microsoft
• Implementing In-Memory SQL Database Objects – Microsoft
• Developing Intelligent Apps and Bots – Microsoft
• Basic System Programming on IBM Z – IBM
• Cybersecurity Compliance Framework & System Administration – IBM
• Web App Development with the Power of Node.js – Technische Universität München (Technical University of Munich)
• Business Considerations for 5G, IoT and AI – Linux Foundation
• Open Source and the 5G Transition – Linux Foundation
• Introduction to Kubernetes – Linux Foundation
• Hyperledger Sawtooth for Application Developers – Linux Foundation
• Introduction to Web Cartography: Part 1 – ETH Zurich
• UML Class Diagrams for Software Engineering – KU Leuven University
• IoT System Architecture: Design and Evaluation – Waseda University
• Orientação a Objetos com Java – Instituto Tecnológico de Aeronáutica
• Introduction: Elements of Microgame Design – Worcester Polytechnic Institute
• Hacking PostgreSQL: Data Access Methods – Ural Federal University
• Fundamentals of Containers, Kubernetes, and Red Hat OpenShift – Red Hat
• Fundamentals of Red Hat Enterprise Linux – Red Hat
• Hacker101 – HackerOne
• Concurrency – AdaCore University
• Introduction to Applied Machine Learning – Alberta Machine Intelligence Institute
• Data Structures and Algorithms (III) – Tsinghua University
• Data Structures and Algorithms (IV) – Tsinghua University
• Data Structures and Algorithms (II) – Tsinghua University
• Data Structures and Algorithms (I) – Tsinghua University
• Deploying Applications with Heroku
• UIKit Fundamentals
• VR Scenes and Objects
• Dynamic Web Applications with Sinatra

Nivel avanzado (126 cursos)

• Machine Learning Foundations: A Case Study Approach – University of Washington★★★★☆(38)
• [– Nuevo –] Generative Modelling – National University of Singapore
• Introduction to Artificial Intelligence – Stanford University★★★★☆(24)
• Machine Learning: Regression – University of Washington★★★★★(19)
• Probabilistic Graphical Models 1: Representation – Stanford University★★★★☆(18)
• Neural Networks and Deep Learning – ai★★★★★(15)
• Machine Learning for Data Science and Analytics – Columbia University★★★☆☆(15)
• Machine Learning With Big Data – University of California, San Diego ★★☆☆☆(13)
• Fundamentals of Reinforcement Learning – University of Alberta★★★★★(12)
• Hardware Security – University of Maryland, College Park★★★☆☆(11)
• Machine Learning – Columbia University★★★★☆(10)
• Artificial Intelligence (AI) – Columbia University★★★★☆(9)
• Convolutional Neural Networks – ai★★★★★(8)
• Reinforcement Learning – Brown University★★★☆☆(8)
• Machine Learning: Classification – University of Washington★★★★★(8)
• Sample-based Learning Methods – University of Alberta★★★★★(8)
• Mathematics for Machine Learning: Multivariate Calculus – Imperial College London★★★★★(8)
• Practical Deep Learning For Coders, Part 1 – ai★★★★☆(8)
• Machine Learning – Georgia Institute of Technology★★★★☆(6)
• Parallel programming – École Polytechnique Fédérale de Lausanne★★★★☆(6)
• Interactive 3D Graphics – Autodesk★★★★☆(6)
• Advanced Operating Systems – Georgia Institute of Technology★★★★★(5)
• Enabling Technologies for Data Science and Analytics: The Internet of Things – Columbia University★☆☆☆☆(5)
• Sparse Representations in Image Processing: – Theory to Practice – Technion – Israel Institute of Technology★★★★★(5)
• Sequence Models – ai★★★★★(4)
• Applied Machine Learning in Python – University of Michigan★★★★☆(4)
• Machine Learning: Clustering & Retrieval – University of Washington★★★★★(4)
• Machine Learning for Data Analysis – Wesleyan University★★★★☆(4)
• Introduction to Computer Architecture – Carnegie Mellon University★★★★★(4)
• Structuring Machine Learning Projects – ai★★★★★(3)
• Probabilistic Graphical Models 2: Inference – Stanford University★★★★☆(3)
• Practical Predictive Analytics: Models and Methods – University of Washington★★☆☆☆(3)
• Regression Modeling in Practice – Wesleyan University★★★★☆(3)
• Quantitative Formal Modeling and Worst-Case Performance Analysis – EIT Digital ★★★☆☆(3)
• S191: Introduction to Deep Learning – Massachusetts Institute of Technology★★★★☆(2)
• Introduction to Operating Systems – Georgia Institute of Technology★★★★★(2)
• Knowledge-Based AI: Cognitive Systems – Georgia Institute of Technology★★★☆☆(2)
• Intro to Information Security – Georgia Institute of Technology★★☆☆☆(2)
• Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud – University of Illinois at Urbana-Champaign★★★☆☆(2)
• Introduction to Deep Learning – Higher School of Economics★★★☆☆(2)
• Practical Reinforcement Learning – Higher School of Economics★★★★★(2)
• Nearest Neighbor Collaborative Filtering – University of Minnesota★★☆☆☆(2)
• Prediction and Control with Function Approximation – University of Alberta★★★★☆(2)
• Learn TensorFlow and deep learning, without a Ph.D. – Google★★★★☆(2)
• Reinforcement Learning in Finance – New York University (NYU)★☆☆☆☆(2)
• High Performance Computer Architecture – Georgia Institute of Technology★★★★★(1)
• Computational Photography – Georgia Institute of Technology★★★★☆(1)
• Computability, Complexity & Algorithms – Georgia Institute of Technology★★★★★(1)
• Quantum Machine Learning – University of Toronto★★★★★(1)
• Concurrent Programming in Java – Rice University★★★★★(1)
• Distributed Programming in Java – Rice University★★★★★(1)
• Parallel Programming in Java – Rice University★★★★☆(1)
• Nature, in Code: Biology in JavaScript – École Polytechnique Fédérale de Lausanne★★★☆☆(1)
• Relational Database Support for Data Warehouses – University of Colorado System★★☆☆☆(1)
• Mathematics for Machine Learning: PCA – Imperial College London★★☆☆☆(1)
• Deep Learning Explained – Microsoft★★★★★(1)
• DevOps Practices and Principles – Microsoft★★☆☆☆(1)
• Sparse Representations in Signal and Image Processing: Fundamentals – Technion – Israel Institute of Technology★★★★★(1)
• Introduction to Cloud Foundry and Cloud Native Software Architecture – Linux Foundation★★★★★(1)
• Introduction to Hyperledger Blockchain Technologies – Linux Foundation★★★★☆(1)
• Systems and Application Security – (ISC)²★★★★☆(1)
• Introduction to Machine Learning for Coders! – ai★★★★☆(1)
• Real-Time Audio Signal Processing in Faust – Stanford University
• Computation Structures 3: Computer Organization – Massachusetts Institute of Technology
• Compilers: Theory and Practice – Georgia Institute of Technology
• Artificial Intelligence – Georgia Institute of Technology
• GT – Refresher – Advanced OS – Georgia Institute of Technology
• FA18: Machine Learning – Georgia Institute of Technology
• Cyber-Physical Systems Security – Georgia Institute of Technology
• Cyber-Physical Systems Design & Analysis – Georgia Institute of Technology
• High Performance Computing – Georgia Institute of Technology
• FA17: Machine Learning – Georgia Institute of Technology
• NP-Complete Problems – University of California, San Diego
• 离散优化建模高阶篇 Advanced Modeling for Discrete Optimization – The Chinese University of Hong Kong
• 离散优化建模基础篇 Basic Modeling for Discrete Optimization – The Chinese University of Hong Kong
• Advanced Modeling for Discrete Optimization – University of Melbourne
• Solving Algorithms for Discrete Optimization – University of Melbourne
• Basic Modeling for Discrete Optimization – University of Melbourne
• 离散优化算法篇 Solving Algorithms for Discrete Optimization – The Chinese University of Hong Kong
• Making Your First Virtual Reality Game – University of London International Programmes
• Information Security: Context and Introduction – University of London International Programmes
• Computer Simulations – University of California, Davis
• Calculus and Optimization for Machine Learning – Higher School of Economics
• Introduction to Formal Concept Analysis – Higher School of Economics
• First Steps in Linear Algebra for Machine Learning – Higher School of Economics
• Методы и средства защиты информации – Higher School of Economics
• Обработка изображений – Higher School of Economics
• Addressing Large Hadron Collider Challenges by Machine Learning – Higher School of Economics
• Менеджмент информационной безопасности – Higher School of Economics
• Bayesian Methods for Machine Learning – Higher School of Economics
• Introduction to Recommender Systems: Non-Personalized and Content-Based – University of Minnesota
• Matrix Factorization and Advanced Techniques – University of Minnesota
• Recommender Systems: Evaluation and Metrics – University of Minnesota
• MATLAB et Octave pour débutants – École Polytechnique Fédérale de Lausanne
• 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
• Razonamiento artificial – Universidad Nacional Autónoma de México
• Sesenta años de inteligencia artificial – Universidad Nacional Autónoma de México
• 大数据机器学习|Big Data Machine Learning – Tsinghua University
• Cloud Computing Security – University System of Maryland
• Introducción a la visión por computador: desarrollo de aplicaciones con OpenCV – Universidad Carlos iii de Madrid
• Discrete Mathematics – Shanghai Jiao Tong University
• System Validation (4): Modelling Software, Protocols, and other behaviour – EIT Digital
• System Validation (3): Requirements by modal formulas – EIT Digital
• System Validation: Automata and behavioural equivalences – EIT Digital
• Automated Reasoning: Symbolic Model Checking – EIT Digital
• System Validation (2): Model process behaviour – EIT Digital
• Approximation Algorithms – EIT Digital
• Introduction to Artificial Intelligence (AI) – Microsoft
• DevOps for Databases – Microsoft
• DevOps Testing – Microsoft
• Infrastructure as Code – Microsoft
• Deep Neural Networks with PyTorch – IBM
• Deep Learning with Python and PyTorch – IBM
• Introduction to Deep Learning & Neural Networks with Keras – IBM
• Statistical Machine Learning – Carnegie Mellon University
• Cyber-Physical Systems: Modeling and Simulation – University of California, Santa Cruz
• Computer System Design: Advanced Concepts of Modern Microprocessors – Chalmers University of Technology
• Cutting Edge Deep Learning For Coders, Part 2 – ai
• Approximation Algorithms Part II – École normale supérieure
• Reliable Distributed Algorithms – Part 2 – KTH Royal Institute of Technology
• Access Controls from (ISC)²
• Security Operations and Administration – (ISC)²
• Big Data Applications: Machine Learning at Scale – Yandex
• Optimizing Machine Learning Performance – Alberta Machine Intelligence Institute
• Deep Learning Summer School

Fuente: Freecodecamp