Todos los meses os traemos los cursos online que comienzan en cada mes, gracias a Freecodecamp. El próximo mes de abril comienzan 570 cursos, a unque la mayoría son viejos conocidos.

Nuevos cursos de abril para principiantes:

• [New] Bases de données relationnelles : apprendre pour utiliser – CNAM
• [New] L’intelligence artificielle pour les managers et leurs équipes – CNAM
• [New] Introduction to Web Accessibility – Ryerson University

Nuevos cursos de abril para expertos:

• [New] Multi-Object Tracking for Automotive Systems – Chalmers University of Technology
• [New] Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning – deeplearning.ai

El listado completo de cursos de abril los podéis encontrar en Freecodecamp o directamente en el siguiente listado. Para aquellos que ya tengan ciertos conocimientos de machine learning, recomendamos los cursos de Deep Learning (nivel experto) de Columbia y Georgia. También hay alguno introductorio de Stanford o de Google:

Principiante (160)

• 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)
• An Introduction to Interactive Programming in Python (Part 2) – Rice University★★★★★(45)
• Internet History, Technology, and Security – University of Michigan★★★★★(35)
• Introduction to Linux – Linux Foundation★★★★☆(34)
• How to Use Git and GitHub
• [New] Bases de données relationnelles : apprendre pour utiliser – CNAM
• [New] L’intelligence artificielle pour les managers et leurs équipes – CNAM
• [New] Introduction to Web Accessibility – Ryerson University
• Intro to HTML and CSS
• Introduction to VBA/Excel Programming – Cal Poly Pomona★★★★☆(21)
• JavaScript Basics
• Programming Basics – Indian Institute of Technology Bombay★★☆☆☆(13)
• Computer Science 101 – Stanford University★★★★☆(11)
• Creative Programming for Digital Media & Mobile Apps – University of London International Programmes★★★★☆(10)
• Programming Foundations with JavaScript, HTML and CSS – Duke University★★★★☆(9)
• HTML5 Coding Essentials and Best Practices – World Wide Web Consortium (W3C)★★★★☆(9)
• Programming Foundations with Python
• Introduction to Computer Networking – Stanford University★★★★★(8)
• Usable Security – University of Maryland, College Park★★★☆☆(8)
• Introduction to Bootstrap — A Tutorial – Microsoft★★★☆☆(8)
• Learn to Program: Crafting Quality Code – University of Toronto★★★★★(6)
• Intro to Relational Databases
• Paradigms of Computer Programming — Abstraction and Concurrencyfrom Université catholique de Louvain★★★★☆(4)
• Paradigms of Computer Programming — Fundamentals – Université catholique de Louvain★★★★★(4)
• Introduction to jQuery – Microsoft★★★★☆(4)
• Programming in Scratch – Harvey Mudd College★★★★★(4)
• Introduction to Java Programming — Part 1 – The Hong Kong University of Science and Technology★★★★☆(3)
• Introduction to Java Programming: Starting to code in Java – Universidad Carlos iii de Madrid★★★★☆(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 Programmingfrom 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 Web Programming with Python and JavaScript – Harvard University
• CS50’s Mobile App Development with React Native – Harvard University
• CS50’s Introduction to Game Development – Harvard University
• CS50’s AP® Computer Science Principles – 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
• Programming for the Web with JavaScript – University of Pennsylvania
• Python Functions, Files, and Dictionaries – University of Michigan
• Python Basics – University of Michigan
• Interacting with the System and Managing Memory – Duke University
• Programming Fundamentals – Duke University
• Computer Science: Programming with a Purpose – Princeton University
• Computing in Python I: Fundamentals and Procedural Programming – Georgia Institute of Technology
• Computing in Python III: Data Structures – Georgia Institute of Technology
• Computing in Python IV: Objects & Algorithms – Georgia Institute of Technology
• Computing in Python II: Control Structures – Georgia Institute of Technology
• Introduction to Computing using Python – Georgia Institute of Technology
• Introduction to Cybersecurity – University of Washington
• Python Data Representations – Rice University
• Python Programming Essentials – Rice University
• How Computers Work – University of London International Programmes
• Introduction to Computer Programming from University of London International Programmes
• How to Code: Simple Data – The University of British Columbia
• Software Engineering: Introduction – The University of British Columbia
• Introduction to Web Development – University of California, Davis
• Введение в базы данных – Petersburg State Polytechnic University
• Введение в программирование (C++) – Higher School of Economics
• Web Development and Design using WordPress – California Institute of the Arts
• Web Design: Strategy and Information Architecture – California Institute of the Arts
• Introduction to Java Programming — Part 2 – The Hong Kong University of Science and Technology
• Cyber Security Economics – Delft University of Technology
• Scratch: Programmeren voor kinderen (8+) – Delft University of Technology
• Excel/VBA for Creative Problem Solving, Part 3 (Projects) – University of Colorado Boulder
• Основы проектирования приложений интернета вещейfrom Moscow Institute of Physics and Technology
• Web Coding Fundamentals: HTML, CSS and Javascript – National University of Singapore
• Introducción a Java – Universidad Nacional Autónoma de México
• Android App Development for Beginners – Galileo University
• Java Fundamentals for Android Development – 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 Polymorphism and Advanced Data Structures – Purdue University
• AP Computer Science A: Java Programming Loops and Data Structuresfrom Purdue University
• Deep Learning for Business – Yonsei University
• Introduction to TCP/IP – Yonsei University
• Cyber Security Basics: A Hands-on Approach – Universidad Carlos iii de Madrid
• Introduction to Java Programming: Writing Good Code – Universidad Carlos iii de Madrid
• Introducción a la programación en Java: escribiendo buen código – Universidad Carlos iii de Madrid
• Introducción a la programación en Java: estructuras de datos y algoritmosfrom Universidad Carlos iii de Madrid
• Introducción a la programación en Java: empezando a programar – Universidad Carlos iii de Madrid
• Problem Solving, Programming, and Video Games – University of Alberta
• Introduzione a LaTeX – University of Modena and Reggio Emilia
• Mobile Web Development – Google
• Web Accessibility – Google
• Introduction to NodeJS – Microsoft
• Writing Professional Code – Microsoft
• CSS Basics – Microsoft
• Object Oriented Programming in Java – Microsoft
• Learn to Program in Java – Microsoft
• Introduction to ReactJS – Microsoft
• Introduction to Python: Fundamentals – Microsoft
• Logic and Computational Thinking – Microsoft
• Introduction to Design Thinking – Microsoft
• Introduction to Python: Absolute Beginner – Microsoft
• C Programming: Using Linux Tools and Libraries – Dartmouth
• Linux Basics: The Command Line Interface – 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
• C Programming: Modular Programming and Memory Management – Dartmouth
• Computing: Art, Magic, Science — Part II – ETH Zurich
• Introduction to Open Source Networking Technologies – Linux Foundation
• Introduction to Programming Using Python – University of Texas Arlington
• Blockchain: Understanding Its Uses and Implications – Linux Foundation
• Learn to Program Using Python – University of Texas Arlington
• 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)
• Video Game Design and Balance – Rochester Institute of Technology
• Базы данных (Databases) – Saint Petersburg State University
• Web Security Fundamentals – KU Leuven University
• Arduino Programming, – novice to ninja – Institut Mines-Télécom
• Introdução à Ciência da Computação com Python Parte 1 – Universidade de São Paulo
• Introducción a la programación en Python I: Aprendiendo a programar con Python – Pontificia Universidad Católica de Chile
• 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
• JavaScript Introduction – World Wide Web Consortium (W3C)
• Introducción a la programación con Python – Universidad Austral
• How Computers Work: Demystifying Computation – Raspberry Pi Foundation
• GitHub & Collaboration
• Swift for Beginners
• ES6 — JavaScript Improved
• Version Control with Git
• HTTP & Web Servers
• Introduction to Python Programming
• Learn Swift Programming Syntax
• Intro to JavaScript
• Elements of AI – University of Helsinki
• Python for Everybody — Exploring Information
• M001: MongoDB Basics
• JavaScript and the DOM
• Object-Oriented JavaScript
• Version Control with Git – Atlassian
• Introduction to Virtual Reality
• Android for Beginners
• Web Applications for Everybody
• Java Programming Basics
• Blockchain in the Energy Sector – InnoEnergy

Intermedio (307)

• Machine Learning – Stanford University★★★★★(261)
• Algorithms, Part I – Princeton University★★★★☆(48)
• Cryptography I – Stanford University★★★★★(45)
• 1x: Artificial Intelligence – University of California, Berkeley★★★★★(30)
• Principles of Computing (Part 1) – Rice University★★★★★(26)
• [New] Основы программирования мобильных приложений для Android – ITMO University
• Intro to TensorFlow for Deep Learning
• Software Security from University of Maryland, College Park★★★★★(22)
• Algorithms, Part II – Princeton University★★★★★(21)
• Agile Development Using Ruby on Rails — The Basics – University of California, Berkeley★★★★★(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)
• 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)
• 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)
• Object-Oriented JavaScript – Hack Reactor★★★★★(11)
• Android Development for Beginners – Google★★★★☆(10)
• Java Programming: Solving Problems with Software – Duke University★★★☆☆(9)
• Algorithmic Thinking (Part 2) – Rice University★★★★☆(9)
• Programming Languages – University of Virginia★★★☆☆(9)
• Image and Video Processing: – Mars to Hollywood with a Stop at the Hospital – Duke University★★★★☆(8)
• Cryptography – University of Maryland, College Park★★★★☆(8)
• Cloud Computing Applications, Part 1: Cloud Systems and Infrastructurefrom 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)
• Responsive Web Design Fundamentals – Google★★★★☆(6)
• Intro to AJAX
• Computer Graphics – University of California, Berkeley★★★★☆(5)
• Agile Development Using Ruby on Rails — Advanced – University of California, Berkeley★★★★★(5)
• Cloud Computing Concepts: Part 2 – University of Illinois at Urbana-Champaign★★★★★(5)
• Introduction to Meteor.js Development from University of London International Programmes★★★★★(5)
• How to Code: Systematic Program Design — Part 1 – The University of British Columbia★★★★☆(5)
• Developing Android Apps – Google★★★★☆(5)
• Data Wrangling with MongoDB – MongoDB University★★★★☆(5)
• Parallel Programming Concepts
• Intro to DevOps – Nutanix★★★☆☆(5)
• Intro to iOS App Development with Swift
• Computer Architecture – Princeton University★★★★★(4)
• Computer Networking – Georgia Institute of Technology★★★★☆(4)
• Software Development Process – Georgia Institute of Technology★★★☆☆(4)
• HTML5 Game Development – Google★★★☆☆(4)
• Website Performance Optimization – Google★★★★☆(4)
• Introduction to C++ – Microsoft★★★★☆(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)
• Java Programming: Arrays, Lists, and Structured Data – Duke University★★★★☆(3)
• Networks Illustrated: Principles without Calculus – Princeton University★★★★☆(3)
• VLSI CAD Part I: Logic – University of Illinois at Urbana-Champaign★★★★★(3)
• Internet of Things: Setting Up Your DragonBoard™ Development Platformfrom 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 jQuery
• Intro to Algorithms
• JavaScript Design Patterns
• Compilers – Stanford University★★★★☆(2)
• Mobile Application Experiences Part 1: – a Domain to an App Ideafrom Massachusetts Institute of Technology★★★★★(2)
• Internet of Things: Communication Technologies – University of California, San Diego ★★★☆☆(2)
• iOS App Development Basics – University of Toronto★★★★☆(2)
• Introduction to Mobile Application Development using Android – The Hong Kong University of Science and Technology★★★★☆(2)
• Browser Rendering Optimization – Google★★★★☆(2)
• UX Design for Mobile Developers – Google★★★★★(2)
• Developing International Software, Part 1 – Microsoft★★★★☆(2)
• Analyzing and Visualizing Data with Power BI – Microsoft★★★★★(2)
• Agile Software Development – ETH Zurich★★★★★(2)
• Full Stack Foundations
• JavaScript Testing
• Configuring Linux Web Servers
• Machine Learning: Unsupervised Learning – Brown University★★★★☆(1)
• Software Architecture & Design – Georgia Institute of Technology★★★★★(1)
• Responsive Website Tutorial and Examples – University of London International Programmes★★★★★(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)
• Developing Scalable Apps in Java – Google★★★★☆(1)
• Developing Scalable Apps in Python – Google★★★★☆(1)
• Gradle for Android and Java – Google★★★★★(1)
• Google Cloud Platform Fundamentals: Core Infrastructure – Google★★★★☆(1)
• Android Basics: Multiscreen Apps – Google★★★★☆(1)
• JavaScript Promises – Google★★★★★(1)
• Principles of Machine Learning – Microsoft★★★★★(1)
• Functional Programming in Haskell: Supercharge Your Coding – University of Glasgow★★★★☆(1)
• 用Python玩转数据 Data Processing Using Python – Nanjing University★★★★★(1)
• Cybersecurity and Mobility – University System of Georgia★☆☆☆☆(1)
• A developer’s guide to the Internet of Things (IoT) – IBM★★★★☆(1)
• HTML5 Apps and Games – World Wide Web Consortium (W3C)★★★☆☆(1)
• Technical Interview – Pramp★★★★★(1)
• Intro to Theoretical Computer Science
• Networking for Web Developers
• Using Python for Research – Harvard University
• Language, Proof and Logic – Stanford University
• Shortest Paths Revisited, NP-Complete Problems and What To Do About Them – Stanford University
• Algorithms: Design and Analysis, Part 2 – Stanford University
• Algorithms: Design and Analysis – Stanford University
• Mobile Application Experiences Part 3: Building Mobile Apps – Massachusetts Institute of Technology
• Computation Structures 2: Computer Architecture – Massachusetts Institute of Technology
• Advanced Software Construction in Java – Massachusetts Institute of Technology
• Mobile Application Experiences – Massachusetts Institute of Technology
• Bitcoin and Cryptocurrencies – University of California, Berkeley
• Blockchain Technology – University of California, Berkeley
• Foundations of Data Science: Prediction and Machine Learning – University of California, Berkeley
• Data Structures and Software Design – University of Pennsylvania
• Software Development Fundamentals – University of Pennsylvania
• Algorithm Design and Analysis – University of Pennsylvania
• Introduction to Neurohacking In R – Johns Hopkins University
• Java Programming: Build a Recommendation System – Duke University
• Writing, Running, and Fixing Code in C – Duke University
• 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
• Creating Virtual Reality (VR) Apps – University of California, San Diego
• Data Structures Fundamentals – University of California, San Diego
• String Processing and Pattern Matching Algorithms – University of California, San Diego
• How Virtual Reality Works – University of California, San Diego
• Internet of Things: Sensing and Actuation – Devices – University of California, San Diego
• Data Structures: An Active Learning Approach – University of California, San Diego
• Algorithmic Design and Techniques – University of California, San Diego
• Machine Learning Fundamentals – University of California, San Diego
• Minecraft, Coding and Teaching – University of California, San Diego
• Graph Algorithms – University of California, San Diego
• Programming Languages, Part B – University of Washington
• Programming Languages, Part C – University of Washington
• Finding your Cybersecurity Career Path – University of Washington
• Building a Cybersecurity Toolkit – University of Washington
• Cybersecurity: The CISO’s View – University of Washington
• Mathematics for Computer Science – University of London International Programmes
• Build Your Own iOS App – University of Toronto
• Blockchain Platforms – University at Buffalo
• Blockchain Basics – University at Buffalo
• Smart Contracts – University at Buffalo
• Decentralized Applications (Dapps) – University at Buffalo
• 面向对象技术高级课程（The Advanced Object-Oriented Technology）from Peking University
• 算法设计与分析 Design and Analysis of Algorithms – Peking University
• How to Code: Systematic Program Design — Part 3 – The University of British Columbia
• Software Construction: Object-Oriented Design – The University of British Columbia
• How to Code: Complex Data – The University of British Columbia
• Software Construction: Data Abstraction – The University of British Columbia
• How to Code: Systematic Program Design — Part 2 – The University of British Columbia
• Running Product Design Sprints – University of Virginia
• Testing with Agile – 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
• Android App Components — Intents, Activities, and Broadcast Receiversfrom Vanderbilt University
• Android App Components — Services, Local IPC, and Content Providersfrom Vanderbilt University
• Java for Android – Vanderbilt University
• 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
• Front-End Web UI Frameworks and Tools: Bootstrap 4 – 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
• Server-side Development with NodeJS, Express and MongoDB – The Hong Kong University of Science and Technology
• Front-End JavaScript Frameworks: Angular – 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 React Native – 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
• Введение в iOS-разработку – 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
• Основы разработки на C++: жёлтый пояс – Moscow Institute of Physics and Technology
• Разработка веб-сервисов на Golang, часть 2 – Moscow Institute of Physics and Technology
• 用 Python 做商管程式設計（一）(Programming for Business Computing in Python (1)) – National Taiwan University
• 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
• Software Architecture – University of Alberta
• Service-Oriented Architecture – University of Alberta
• Object-Oriented Design – University of Alberta
• Design Patterns – University of Alberta
• Architecting Smart IoT Devices – EIT Digital
• Web Connectivity and Security in Embedded Systems – EIT Digital
• Introduction to Architecting Smart IoT Devices – EIT Digital
• Android Basics: User Interface – Google
• Android Performance – Google
• Advanced Android App Development – Google
• Intro to Progressive Web Apps – Google
• Offline Web Applications – Google
• Google Cloud Platform Fundamentals for AWS Professionals – Google Cloud
• Material Design for Android Developers – Google
• Android Basics: Networking – Google
• Client-Server Communication – Google
• Google Maps APIs – Google
• Scalable Microservices with Kubernetes – Google
• Firebase Essentials For Android – Google
• Android Basics: Button Clicks – Google
• Android Basics: User Input – Google
• Data Structures & Algorithms in Python – Google
• Developing Android Apps with Kotlin – Google
• VR Software Development – Google
• Intermediate C++ – Microsoft
• Optimizing Performance for SQL Based Applications – Microsoft
• Asynchronous Programming with Javascript – Microsoft
• Algorithms and Data Structures in C# – Microsoft
• Developing SQL Databases – Microsoft
• Implementing In-Memory SQL Database Objects – Microsoft
• Creating Programmatic SQL Database Objects – Microsoft
• Application Design Considerations: An Inclusive Approach – Microsoft
• Introduction to C# – Microsoft
• AngularJS: Advanced Framework Techniques – Microsoft
• Algorithms and Data Structures – Microsoft
• AngularJS: Framework Fundamentals – Microsoft
• Developing Intelligent Apps and Bots – Microsoft
• Building Functional Prototypes using Node.js – Microsoft
• Building Interactive Prototypes using JavaScript – Microsoft
• Introduction to TypeScript 2 – Microsoft
• Advanced CSS Concepts – Microsoft
• Designing Data Platform Solutions – Microsoft
• Applied Machine Learning – Microsoft
• Build a Modern Computer – First Principles: Nand to Tetris Part II (project-centered course) – Hebrew University of Jerusalem
• Programmation iOS (partie II) – Sorbonne Universités
• Programmation Concurrente (avec Java) – Sorbonne Universités
• Programmation iOS (partie I) – Sorbonne Universités
• Introduction to Data Structures – University of Adelaide
• C++ For C Programmers, Part B – University of California, Santa Cruz
• Fundamentals of Machine Learning – Santa Fe Institute
• Introduction to Computation Theory – Santa Fe Institute
• Requirements Elicitation: Artifact and Stakeholder Analysis – University of Colorado System
• Homeland Security & Cybersecurity Connection — It’s Not About the Terrorists – University of Colorado System
• Software Requirements Prioritization: Risk Analysis – University of Colorado System
• Requirements Specifications: Goals and Conflict Analysis – University of Colorado System
• Cloud Computing Security – University of Colorado System
• Linux Server Management and Security – University of Colorado System
• SRS Documents: Requirements and Diagrammatic Notations – University of Colorado System
• Introduction to Web Cartography: Part 1 – ETH Zurich
• Requirements Gathering for Secure Software Development – University of Colorado System
• Machine Learning for Musicians and Artists – Goldsmiths, University of London
• Introduction to Cloud Infrastructure Technologies – Linux Foundation
• Introduction to Kubernetes – Linux Foundation
• 2D Game Development with libGDX – Amazon
• Introduction to DevOps: Transforming and Improving Operations – Linux Foundation
• Cybersecurity and the X-Factor – University System of Georgia
• Mobile Design and Usability for iOS – Facebook
• Web App Development with the Power of Node.js – Technische Universität München (Technical University of Munich)
• Mobile Design and Usability for Android – Facebook
• Fundamentals of Machine Learning in Finance – New York University (NYU)
• Overview of Advanced Methods of Reinforcement Learning in Financefrom New York University (NYU)
• Internet of Things for Active Aging – Taipei Medical University
• Advanced Algorithmics and Graph Theory with Python – Institut Mines-Télécom
• Gameplay Programming for Video Game Designers – Rochester Institute of Technology
• Teamwork & Collaboration – Rochester Institute of Technology
• Guided Tour of Machine Learning in Finance – New York University (NYU)
• UML Class Diagrams for Software Engineering – KU Leuven University
• Cybersecurity Fundamentals – Rochester Institute of Technology
• Programming for Everyone — An Introduction to Visual Programming Languages – Weizmann Institute of Science
• Introdução ao Teste de Software – Universidade de São Paulo
• How to Win Coding Competitions: Secrets of Champions – ITMO University
• Concurrency – AdaCore University
• M220J: MongoDB for Java Developers – MongoDB University
• M220JS: MongoDB for Javascript Developers – MongoDB University
• Defensive Programming and Debugging – Partnership for Advanced Computing in Europe
• Formal Software Verification – University System of Maryland
• Desarrollo de Aplicaciones Mobile Multiplataforma con Nativescript, Angular y Redux – Universidad Austral
• Software Testing Management – University System of Maryland
• Software Testing Fundamentals – University System of Maryland
• Cloud Computing for Enterprises – University System of Maryland
• Cloud Computing Infrastructure – University System of Maryland
• Cloud Computing Management – University System of Maryland
• Learn Backbone.js
• SQL for Data Analysis
• VR Scenes and Objects
• Android Basics: Data Storage
• UIKit Fundamentals
• Swift for Developers
• Fundamentals of Containers, Kubernetes, and Red Hat OpenShift – Red Hat
• iOS Networking with Swift
• iOS Persistence and Core Data
• How to Make an iOS App
• Deploying Applications with Heroku
• Hacker101 – HackerOne
• Building iOS Interfaces
• VR Platforms & Applications
• The MVC Pattern in Ruby
• How to create in Android
• An Introduction to Practical Deep Learning – Intel
• Dynamic Web Applications with Sinatra
• C++ For Programmers
• Fundamentals of Red Hat Enterprise Linux – Red Hat
• Developing Android Apps
• Introduction: Elements of Microgame Design – Worcester Polytechnic Institute
• Designing RESTful APIs
• VR Design
• iOS Design Patterns

Advanzado (101)

• [New] Multi-Object Tracking for Automotive Systems – Chalmers University of Technology
• [New] Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning – ai
• Machine Learning for Data Science and Analytics – Columbia University★★★☆☆(15)
• Intro to Deep Learning – Google★★☆☆☆(13)
• Creative Applications of Deep Learning with TensorFlow
• Machine Learning for Trading – Georgia Institute of Technology★★★☆☆(11)
• Introduction to Artificial Intelligence – Stanford University★★★★★(9)
• Computational Neuroscience – University of Washington★★★★☆(8)
• Reinforcement Learning – Brown University★★☆☆☆(6)
• Intro to Parallel Programming – Nvidia★★★★☆(6)
• Advanced Operating Systems – Georgia Institute of Technology★★★★★(5)
• Introduction to Computer Vision – 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)
• Introduction to Computer Architecture – Carnegie Mellon University★★★★★(4)
• Probabilistic Graphical Models 2: Inference – Stanford University★★★★☆(3)
• Quantitative Formal Modeling and Worst-Case Performance Analysis – EIT Digital ★★★☆☆(3)
• Nearest Neighbor Collaborative Filtering – University of Minnesota★★☆☆☆(2)
• Computability, Complexity & Algorithms – Georgia Institute of Technology★★★★★(1)
• Introduction to Operating Systems – Georgia Institute of Technology★★★★★(1)
• Computational Photography – Georgia Institute of Technology★★★★☆(1)
• High Performance Computer Architecture – Georgia Institute of Technology★★★★★(1)
• Artificial Intelligence (AI) – Columbia University★☆☆☆☆(1)
• Practical Deep Learning For Coders, Part 1 – ai★★★★★(1)
• Real-Time Audio Signal Processing in Faust – Stanford University
• S191: Introduction to Deep Learning – Massachusetts Institute of Technology
• Computation Structures 3: Computer Organization – Massachusetts Institute of Technology
• S094: Deep Learning for Self-Driving Cars – Massachusetts Institute of Technology
• Applied Machine Learning in Python – University of Michigan
• Machine Learning – Georgia Institute of Technology
• Cyber-Physical Systems Design & Analysis – Georgia Institute of Technology
• Machine Learning – Georgia Institute of Technology
• Network Security – Georgia Institute of Technology
• Intro to Information Security – Georgia Institute of Technology
• Knowledge-Based AI: Cognitive Systems – Georgia Institute of Technology
• GT — Refresher — Advanced OS – Georgia Institute of Technology
• Cyber-Physical Systems Security – Georgia Institute of Technology
• Artificial Intelligence – Georgia Institute of Technology
• High Performance Computing – Georgia Institute of Technology
• Compilers: Theory and Practice – Georgia Institute of Technology
• Machine Learning – Columbia University
• NP-Complete Problems – University of California, San Diego
• Information Security: Context and Introduction – University of London International Programmes
• State Estimation and Localization for Self-Driving Cars – University of Toronto
• Advanced Modeling for Discrete Optimization – University of Melbourne
• Basic Modeling for Discrete Optimization – University of Melbourne
• MATLAB et Octave pour débutants – École Polytechnique Fédérale de Lausanne
• Nature, in Code: Biology in JavaScript – École Polytechnique Fédérale de Lausanne
• Менеджмент информационной безопасности – 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
• Practical Reinforcement Learning – Higher School of Economics
• Matrix Factorization and Advanced Techniques – University of Minnesota
• Python and Statistics for Financial Analysis – The Hong Kong University of Science and Technology
• 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
• 人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence — Search & Logic)from National Taiwan University
• 大数据机器学习|Big Data Machine Learning – Tsinghua University
• Introducción a la visión por computador: desarrollo de aplicaciones con OpenCV – Universidad Carlos iii de Madrid
• System Validation (4): Modelling Software, Protocols, and other behaviour – EIT Digital
• System Validation: Automata and behavioural equivalences – EIT Digital
• Approximation Algorithms – EIT Digital
• System Validation (2): Model process behaviour – EIT Digital
• Embedded Hardware and Operating Systems – EIT Digital
• Machine Learning Crash Course with TensorFlow APIs – Google
• Learn TensorFlow and deep learning, without a Ph.D. – Google
• Deep Learning Explained – Microsoft
• DevOps for Databases – Microsoft
• DevOps Testing – Microsoft
• Infrastructure as Code – Microsoft
• DevOps Practices and Principles – Microsoft
• Introduction to Artificial Intelligence (AI) – Microsoft
• Advanced C++ – Microsoft
• Sparse Representations in Signal and Image Processing: Fundamentalsfrom 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
• Blockchain for Business — An Introduction to Hyperledger Technologiesfrom Linux Foundation
• Introduction to OpenStack – Linux Foundation
• Introduction to Cloud Foundry and Cloud Native Software Architecturefrom Linux Foundation
• Reliable Distributed Algorithms, Part 2 – KTH Royal Institute of Technology
• Mathematics for Machine Learning: PCA – Imperial College London
• Computer System Design: Advanced Concepts of Modern Microprocessorsfrom Chalmers University of Technology
• Deep Learning with Tensorflow – IBM
• Reinforcement Learning in Finance – New York University (NYU)
• 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
• Cloud Computing Security – University System of Maryland
• Introduction to Machine Learning for Coders! – ai
• Systems and Application Security – (ISC)²
• Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery from (ISC)²
• Security Operations and Administration – (ISC)²
• Networks and Communications Security – (ISC)²
• Continuous Integration and Deployment
• Access Controls from (ISC)²
• Deep Learning Summer School