Há dez anos, universidades como a MIT e a Stanford abriram seus cursos on-line gratuitos ao público. Hoje, cerca de 1.000 escolas ao redor do mundo criaram milhares de cursos gratuitos on-line.

Compilei esta lista com mais de 720 cursos on-line gratuitos que você pode começar ainda este mês. Para isso, fiz uma consulta no banco de dados do Class Central, com mais de 50 mil cursos on-line. Também incluí a classificação média de cada curso.

Classifiquei os cursos nas categorias a seguir de acordo com o nível de dificuldade:

• Iniciante
• Intermediário
• Avançado

Cursos que estão sendo oferecidos pela primeira vez estão marcados como [NOVO].

Muitos desses cursos podem ser feitos completamente no seu ritmo. O resto iniciará em momentos distintos durante o ano. Você poderá encontrar listas completas dos cursos relacionados à tecnologia começando futuramente, ainda em 2022, nas páginas dos tópicos de Ciência da Computação, Ciência de Dados e Programação do Class Central.

Entendo que seja uma lista muito longa e que possa assustar aqueles que estão aprendendo e são novos na programação. Neste caso, as recomendações de David Venturi sobre os melhores cursos de Ciência de Dados on-line (em inglês) podem ser mais úteis para você — mesmo que você não esteja pensando em aprender Ciência de Dados. Espero criar mais guias como esse no futuro.

Por fim, se estiver com problemas em se inscrever nos cursos gratuitos do Coursera, não se preocupe — escrevi um artigo sobre como fazer isso também (em inglês).

Nota do tradutor: traduzimos este artigo por ser uma ótima coleção de cursos on-line oferecidos por diversas entidades do mundo inteiro. É preciso reforçar, no entanto, que a maioria desses cursos está em outro idioma - em grande parte, inglês, mas há alguns, inclusive, em outros idiomas, como francês, espanhol, italiano, chinês, japonês, alemão e russo - e requerem um conhecimento do idioma. Encontramos apenas alguns cursos na lista que estão inteiramente em português.

Cursos de programação para iniciantes (223)

• An Introduction to Interactive Programming in Python (Part 1), da Rice University ★★★★★(2910)
• Introduction to Computer Science and Programming Using Python, do Massachusetts Institute of Technology ★★★★★(99)
• Learn to Program: The Fundamentals, da University of Toronto ★★★★★(86)
• CS50's Introduction to Computer Science, da Harvard University ★★★★★(53)
• Introduction to HTML5, da University of Michigan ★★★★☆(37)
• Internet History, Technology, and Security, da University of Michigan ★★★★★(35)
• Introduction to Linux, da Linux Foundation ★★★★☆(34)
• [Novo] Blockchain and its Applications, do Indian Institute of Technology, Kharagpur
• [Novo] Technologies and platforms for Artificial Intelligence, do Politecnico di Milano
• [Novo] AI Fundamentals, da Microsoft
• [Novo] Introduction to DevOps, da IBM
• Intro to HTML and CSS
• Introduction to Cyber Security, da The Open University ★★★★☆(18)
• Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course), do Hebrew University of Jerusalem ★★★★★(14)
• Programming Basics, do Indian Institute of Technology Bombay ★★☆☆☆(13)
• Computer Science 101, da Stanford University ★★★★☆(11)
• Introduction to CSS3, da University of Michigan ★★★★★(11)
• Creative Programming for Digital Media & Mobile Apps, da University of London International Programmes ★★★★☆(10)
• HTML5 Coding Essentials and Best Practices, do World Wide Web Consortium (W3C) ★★★★☆(9)
• Introduction to the Internet of Things and Embedded Systems, da University of California, Irvine ★★★★☆(8)
• Usable Security, da University of Maryland, College Park ★★★☆☆(8)
• Code Yourself! An Introduction to Programming, da University of Edinburgh ★★★★☆(7)
• Begin Programming: Build Your First Mobile Game, da University of Reading ★★★★☆(7)
• HTML, CSS, and Javascript for Web Developers, da Johns Hopkins University ★★★★★(6)
• Learn to Program: Crafting Quality Code, da University of Toronto ★★★★★(6)
• Intro to Relational Databases
• Paradigms of Computer Programming – Fundamentals, da Université catholique de Louvain ★★★★★(4)
• Paradigms of Computer Programming – Abstraction and Concurrency, da Université catholique de Louvain ★★★★☆(4)
• Programming in Scratch, do Harvey Mudd College ★★★★★(4)
• How To Create a Website in a Weekend! (Project-Centered Course), da State University of New York ★★★★★(3)
• Introduction to Programming for the Visual Arts with p5.js, da University of California, Los Angeles ★★★★☆(3)
• HTML5 and CSS Fundamentals, do World Wide Web Consortium (W3C) ★★★★☆(3)
• Linux Command Line Basics
• Object-Oriented Programming, do Indian Institute of Technology Bombay ★★★★☆(2)
• Think. Create. Code, da University of Adelaide ★★★★★(2)
• The Computing Technology Inside Your Smartphone, da Cornell University ★★★★★(2)
• CS For All: Introduction to Computer Science and Python Programming, do Harvey Mudd College ★★★★★(2)
• Networks: Friends, Money, and Bytes, da Princeton University ★★★☆☆(1)
• Introduction à la programmation orientée objet (en Java), da École Polytechnique Fédérale de Lausanne ★★★★★(1)
• CS50's Introduction to Artificial Intelligence with Python, da Harvard University
• CS50's Understanding Technology, da Harvard University
• CS50's Computer Science for Business Professionals, da Harvard University
• CS50's Introduction to Game Development, da Harvard University
• CS50's Web Programming with Python and JavaScript, da Harvard University
• CS50's Mobile App Development with React Native, da Harvard University
• CS50's AP® Computer Science Principles, da Harvard University
• Deploying TinyML, da Harvard University
• Applications of TinyML, da Harvard University
• CS50's Computer Science for Lawyers, da Harvard University
• Databases: OLAP and Recursion, da Stanford University
• Databases: Semistructured Data, da Stanford University
• Databases: Modeling and Theory, da Stanford University
• Hacker Tools, do Massachusetts Institute of Technology
• Cryptocurrency and Blockchain: An Introduction to Digital Currencies, da University of Pennsylvania
• Computational Thinking for Problem Solving, da University of Pennsylvania
• Blockchain and Cryptocurrency Explained, da University of Michigan
• Using JavaScript, JQuery, and JSON in Django, da University of Michigan
• Building Database Applications in PHP, da University of Michigan
• JavaScript, jQuery, and JSON, da University of Michigan
• Introduction to Structured Query Language (SQL), da University of Michigan
• Building Web Applications in Django, da University of Michigan
• Web Application Technologies and Django, da University of Michigan
• Django Features and Libraries, da University of Michigan
• Web Application Technologies and Django, da University of Michigan
• Database Architecture, Scale, and NoSQL with Elasticsearch, da University of Michigan
• Using JavaScript, jQuery, and JSON in Django, da University of Michigan
• The Unix Workbench, da Johns Hopkins University
• The Blockchain System, da University of California, Irvine
• The Blockchain, da University of California, Irvine
• The Beauty and Joy of Computing - AP® CS Principles Part 2, da University of California, Berkeley
• The Beauty and Joy of Computing (CS Principles), Part 4, da University of California, Berkeley
• The Beauty and Joy of Computing (CS Principles), Part 3, da University of California, Berkeley
• Software Testing, do Indian Institute of Technology, Kharagpur
• Introduction to Database Systems, do Indian Institute of Technology Madras
• Computer Science: Programming with a Purpose, da Princeton University
• Introduction To Internet Of Things, do Indian Institute of Technology, Kharagpur
• Problem Solving Through Programming In C, do Indian Institute of Technology, Kharagpur
• Programming In Java, do Indian Institute of Technology, Kharagpur
• Interacting with the System and Managing Memory, da Duke University
• Cloud Computing Foundations, da Duke University
• Programming Fundamentals, da Duke University
• Introduction to Computing using Python, do Georgia Institute of Technology
• Introduction to Cybersecurity, da University of Washington
• Introduction to Internationalization and Localization, da University of Washington
• An Introduction to Programming Through C++, do Indian Institute of Technology Bombay
• Building Interactive 3D Characters and Social VR, da University of London International Programmes
• How Computers Work, da University of London International Programmes
• Introduction to Computer Programming, da University of London International Programmes
• Software Engineering: Introduction, da The University of British Columbia
• Coding for Designers, Managers, & Entrepreneurs III, da University of Virginia
• Coding for Designers, Managers, & Entrepreneurs I, da University of Virginia
• Coding for Designers, Managers, & Entrepreneurs II, da University of Virginia
• Artificial Intelligence in Marketing, da University of Virginia
• Computational Social Science Methods, da University of California, Davis
• Principles of Secure Coding, da University of California, Davis
• Introduction to Web Development, da University of California, Davis
• Identifying Security Vulnerabilities, da University of California, Davis
• Computer Programming for Everyone, da University of Leeds
• Python Programming Essentials, da Rice University
• Web Design: Strategy and Information Architecture, do California Institute of the Arts
• Введение в базы данных, da St. Petersburg State Polytechnic University
• Cloud Security Basics, da University of Minnesota
• Introduction to Software Testing, da University of Minnesota
• Programming, Data Structures And Algorithms Using Python, do Chennai Mathematical Institute
• The Joy of Computing using Python, do Indian Institute of Technology, Ropar
• Programming with Scratch, da The Hong Kong University of Science and Technology
• AP Computer Science A: Java Programming Classes and Objects, da Purdue University
• AP Computer Science A: Java Programming Loops and Data Structures, da Purdue University
• AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures, da Purdue University
• Cybersecurity for Everyone, da University of Maryland, College Park
• What is “the mind” and what is artificial intelligence?, da University of Colorado Boulder
• Trees and Graphs: Basics, da University of Colorado Boulder
• Cybersecurity for Data Science, da University of Colorado Boulder
• Unix Tools: Data, Software and Production Engineering, da Delft University of Technology
• AI in Practice: Applying AI, da Delft University of Technology
• AI in Practice: Preparing for AI, da Delft University of Technology
• Scratch: Programmeren voor kinderen (8+), da Delft University of Technology
• Cyber Security Economics, da Delft University of Technology
• Introduction to Cybersecurity for Business, da University of Colorado System
• Proactive Computer Security, da University of Colorado System
• TCP/IP and Advanced Topics, da University of Colorado System
• Software Design as an Element of the Software Development Lifecycle, da University of Colorado System
• Software Design as an Abstraction, da University of Colorado System
• Software Design Methods and Tools, da University of Colorado System
• Shell Programming - A necessity for all Programmers, do Indian Institute of Technology Bombay
• LaTeX for Students, Engineers, and Scientists, do Indian Institute of Technology Bombay
• Тонкости верстки, do Moscow Institute of Physics and Technology
• Competitive Programming for Beginners, do Moscow Institute of Physics and Technology
• Основы проектирования приложений интернета вещей, do Moscow Institute of Physics and Technology
• Programmazione I, da University of Naples Federico II
• Introduzione all'informatica, da University of Naples Federico II
• Basi di dati, da University of Naples Federico II
• Базы данных (Databases), da Saint Petersburg State University
• Introduction to the Internet of Things, da Universitat Politècnica de València
• Fundamentos TIC para profesionales de negocios: Desarrollo de Software, da Universitat Politècnica de València
• Diagramas UML estructurales para la Ingeniería del Software, da Universitat Politècnica de València
• Fundamentos TIC para profesionales de negocios: Aplicaciones empresariales, da Universitat Politècnica de València
• Video Game Design and Balance, do Rochester Institute of Technology
• Deep Learning for Business, da Yonsei University
• Introduction to TCP/IP, da Yonsei University
• Cyber Security Basics: A Hands-on Approach, da Universidad Carlos iii de Madrid
• Introducción a UML, da Universidad de los Andes
• Ethical Hacking: An Introduction, da Coventry University
• The Cyber Security Landscape, da Coventry University
• Blockchain for the decision maker, do EIT Digital
• Blockchain 360: A State of the Art for Professionals, do EIT Digital
• Web of Data, do EIT Digital
• Problem Solving, Python Programming, and Video Games, da University of Alberta
• Introduction to the Internet of Things (IoT), da Curtin University
• Linux Basics: The Command Line Interface, do Dartmouth College
• C Programming: Pointers and Memory Management, do Dartmouth College
• C Programming: Getting Started, do Dartmouth College
• C Programming: Language Foundations, do Institut Mines-Télécom
• C Programming: Advanced Data Types, do Dartmouth College
• C Programming: Using Linux Tools and Libraries, do Dartmouth College
• C Programming: Modular Programming and Memory Management, do Dartmouth College
• Unlocking Information Security I: From Cryptography to Buffer Overflows, da Tel Aviv University
• Unlocking Information Security II: An Internet Perspective, da Tel Aviv University
• Introducción a la programación en C: Instrucciones de control y ficheros de texto, da Universidad Autónoma de Madrid
• AWS Fundamentals: Addressing Security Risk, dos Amazon Web Services
• Getting Started with AWS Machine Learning, dos Amazon Web Services
• Diseñando páginas web con Bootstrap 4, da Universidad Austral
• Programación Orientada a Objetos con Python, da Universidad Austral
• Introduzione a LaTeX, da University of Modena and Reggio Emilia
• Web Coding Fundamentals: HTML, CSS and Javascript, da National University of Singapore
• Introdução à Ciência da Computação com Python Parte 1, da Universidade de São Paulo
• Introdução à Ciência da Computação com Python Parte 2, da Universidade de São Paulo
• Introduction to Git and GitHub, do Google
• Web Accessibility, do Google
• Technical Support Fundamentals, do Google
• CSS Basics, da Microsoft
• Learn to Program in Java, da Microsoft
• How Entrepreneurs in Emerging Markets can master the Blockchain Technology, da University of Cape Town
• Penetration Testing - Exploitation, da New York University (NYU)
• Information Security - Authentication and Access Control, da New York University (NYU)
• Cyber Attack Countermeasures, da New York University (NYU)
• Introduction to Cyber Attacks, da New York University (NYU)
• Introduction to Database Queries, da New York University (NYU)
• Introduction to Networking, da New York University (NYU)
• Basics of Computing and Programming, da New York University (NYU)
• Computer Hardware and Operating Systems, da New York University (NYU)
• Creative Coding, da New York University (NYU)
• NoSQL Database Basics, da IBM
• AI for Everyone: Master the Basics, da IBM
• Relational Database Administration (DBA), da IBM
• Introduction to Cloud Development with HTML5, CSS3, and JavaScript, da IBM
• Introduction to Web Development with HTML, CSS, JavaScript, da IBM
• Introduction to Cloud Computing, da IBM
• Introduction to Quantum Computing for Everyone 2, da The University of Chicago
• Introduction to Quantum Computing for Everyone, da The University of Chicago
• Introduction to Blockchain Technology and Applications, da University College London
• Software Engineering Essentials, da Technische Universität München (Technical University of Munich)
• Lernen objekt-orientierter Programmierung, da Technische Universität München (Technical University of Munich)
• Introduction to Open Source Networking Technologies, da Linux Foundation
• Blockchain: Understanding Its Uses and Implications, da Linux Foundation
• Introduction to DevOps and Site Reliability Engineering, da Linux Foundation
• C for Everyone: Structured Programming, da University of California, Santa Cruz
• C for Everyone: Programming Fundamentals, da University of California, Santa Cruz
• Introducción a la programación en Python I: Aprendiendo a programar con Python, da Pontificia Universidad Católica de Chile
• AI For Everyone, de deeplearning.ai
• Mobile Computing with App Inventor – CS Principles, da The University of Warwick
• Introduction to Computer Science and Programming, do Tokyo Institute of Technology
• 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, do Tokyo Institute of Technology
• Web Security Fundamentals, da KU Leuven University
• Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems, da University of York
• Computing Form and Shape: Python Programming with the Rhinoscript Library, da Rhode Island School of Design
• Elements of AI, da University of Helsinki
• Understanding Quantum Computers, da Keio University
• Introduction to Web Development, da Raspberry Pi Foundation
• Programming with GUIs, da Raspberry Pi Foundation
• How Computers Work: Demystifying Computation, da Raspberry Pi Foundation
• Diseño Web con HTML5 + CSS, da Universitas Telefónica
• Object-oriented Programming in Python: Create Your Own Adventure Game, da Raspberry Pi Foundation
• Computer Networks, de Devi Ahilya Viswavidyalaya, Indore
• Introduction to Web Accessibility, do World Wide Web Consortium (W3C)
• Data Privacy Fundamentals, da Northeastern University
• Introduction to MongoDB, da MongoDB University
• Version Control with Git, da Atlassian
• HTTP & Web Servers
• Version Control with Git
• ES6 - JavaScript Improved
• Web Applications for Everybody
• MongoDB Basics

Cursos de programação intermediários (344)

• Using Databases with Python, da University of Michigan ★★★★★(291)
• Machine Learning, da Stanford University ★★★★★(263)
• Divide and Conquer, Sorting and Searching, and Randomized Algorithms, da Stanford University ★★★★★(61)
• Functional Programming Principles in Scala, da École Polytechnique Fédérale de Lausanne ★★★★★(58)
• Algorithms, Part I, da Princeton University ★★★★☆(51)
• CS188.1x: Artificial Intelligence, da University of California, Berkeley ★★★★★(30)
• Principles of Computing (Part 1), da Rice University ★★★★★(26)
• [Novo] Introduction to Machine Learning (Tamil), do Indian Institute of Technology Madras
• [Novo] Communication Networks, do Indian Institute of Technology, Kharagpur
• [Novo] Design and Engineering of Computer Systems, da NPTEL
• [Novo] Using R for Regression and Machine Learning in Investment, da Sungkyunkwan University
• Practical Machine Learning, da Johns Hopkins University ★★★☆☆(22)
• Software Security, da University of Maryland, College Park ★★★★★(22)
• Algorithms, Part II, da Princeton University ★★★★★(21)
• Responsive Website Basics: Code with HTML, CSS, and JavaScript, da University of London International Programmes ★★★★☆(21)
• Cloud Computing Concepts, Part 1, da University of Illinois at Urbana-Champaign ★★★☆☆(19)
• Automata Theory, da Stanford University ★★★★☆(17)
• Programming Languages, Part A, da University of Washington ★★★★★(17)
• C++ For C Programmers, Part A, da University of California, Santa Cruz ★★★☆☆(16)
• MongoDB for Java Developers
• Principles of Computing (Part 2), da Rice University ★★★★☆(15)
• Algorithmic Thinking (Part 1), da Rice University ★★★★☆(14)
• Design of Computer Programs, da Stanford University ★★★★☆(13)
• Introduction to Machine Learning Course, da Stanford University ★★★★☆(12)
• Algorithmic Toolbox, da University of California, San Diego ★★★★☆(12)
• Discrete Optimization, da University of Melbourne ★★★★☆(12)
• Responsive Web Design, da University of London International Programmes ★★★☆☆(11)
• Interactivity with JavaScript, da University of Michigan ★★★★☆(10)
• Introduction to Software Product Management, da University of Alberta ★★★★☆(10)
• Programming Languages, da University of Virginia ★★★☆☆(9)
• Algorithmic Thinking (Part 2), da Rice University ★★★★☆(9)
• Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital, da Duke University ★★★★☆(8)
• Text Retrieval and Search Engines, da University of Illinois at Urbana-Champaign ★★★☆☆(8)
• Compilers, da Stanford University ★★★★★(7)
• Advanced Styling with Responsive Design, da University of Michigan ★★★★☆(7)
• Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure, da University of Illinois at Urbana-Champaign ★★★☆☆(7)
• Software Testing, da University of Utah ★★★★☆(7)
• Internet of Things: How did we get here?, da University of California, San Diego ★★☆☆☆(6)
• Client Needs and Software Requirements, da University of Alberta ★★★★☆(6)
• Learning from Data (Introductory Machine Learning course), do California Institute of Technology ★★★★☆(6)
• Responsive Web Design Fundamentals, do Google ★★★★☆(6)
• Intro to AJAX
• Data Structures and Performance, da University of California, San Diego ★★★★★(5)
• Computer Graphics, da University of California, San Diego ★★★★☆(5)
• Cloud Computing Concepts: Part 2, da University of Illinois at Urbana-Champaign ★★★★★(5)
• Introduction to Meteor.js Development, da University of London International Programmes ★★★★★(5)
• Web Application Development with JavaScript and MongoDB, da University of London International Programmes ★★★★☆(5)
• How to Code: Simple Data, da The University of British Columbia ★★★★☆(5)
• Intro to DevOps, da Nutanix ★★★☆☆(5)
• Data Wrangling with MongoDB, da MongoDB University ★★★★☆(5)
• Parallel Programming Concepts
• Algorithms on Strings, da University of California, San Diego ★★★☆☆(4)
• Computer Architecture, da Princeton University ★★★★★(4)
• Analysis of Algorithms, da Princeton University ★★★★★(4)
• Cloud Networking, da University of Illinois at Urbana-Champaign ★★★★☆(4)
• Database Management Essentials, da University of Colorado System ★★★★☆(4)
• Website Performance Optimization, do Google ★★★★☆(4)
• Practical Numerical Methods with Python, da George Washington University ★★★★☆(4)
• Interactive Computer Graphics, da The University of Tokyo ★★☆☆☆(4)
• Software Debugging, da Saarland University ★★★★★(4)
• Software Construction in Java, do Massachusetts Institute of Technology ★★★★★(3)
• Data Structures, da University of California, San Diego ★★★☆☆(3)
• Mastering the Software Engineering Interview, da University of California, San Diego ★★★★☆(3)
• Internet of Things: Setting Up Your DragonBoard™ Development Platform, da University of California, San Diego ★★★☆☆(3)
• Networks Illustrated: Principles without Calculus, da Princeton University ★★★★☆(3)
• Querying Data with Transact-SQL, da Microsoft ★★★★☆(3)
• Autonomous Mobile Robots, do ETH Zurich ★★★☆☆(3)
• Intro to Algorithms
• MongoDB for .NET Developers
• Compilers, da Stanford University ★★★★☆(2)
• Mobile Application Experiences Part 1: From a Domain to an App Idea, do Massachusetts Institute of Technology ★★★★★(2)
• Algorithms on Graphs, da University of California, San Diego ★★★★☆(2)
• Internet of Things: Communication Technologies, da University of California, San Diego ★★★☆☆(2)
• Advanced Data Structures in Java, da University of California, San Diego ★★★★☆(2)
• Browser Rendering Optimization, do Google ★★★★☆(2)
• Developing International Software, Part 1, da Microsoft ★★★★☆(2)
• Approximation Algorithms Part I, da École normale supérieure ★★★★★(2)
• JavaScript Testing
• Full Stack Foundations
• Configuring Linux Web Servers
• Advanced Algorithms and Complexity, da University of California, San Diego ★★★☆☆(1)
• Machine Learning: Unsupervised Learning, da Brown University ★★★★☆(1)
• Responsive Website Tutorial and Examples, da University of London International Programmes ★★★★★(1)
• Design and analysis of algorithms, do Chennai Mathematical Institute ★★★☆☆(1)
• MATLAB and Octave for Beginners, da École Polytechnique Fédérale de Lausanne ★☆☆☆☆(1)
• Algorithms, do Indian Institute of Technology Bombay ★★★★★(1)
• Web Application Development: Basic Concepts, da University of New Mexico ★★★★☆(1)
• Paradigms of Computer Programming, da Université catholique de Louvain ★★★★☆(1)
• Functional Programming in Haskell: Supercharge Your Coding, da University of Glasgow ★★★★☆(1)
• JavaScript Promises, do Google ★★★★★(1)
• Cybersecurity and Mobility, da University System of Georgia ★☆☆☆☆(1)
• 用Python玩转数据 Data Processing Using Python, da Nanjing University ★★★★★(1)
• HTML5 Apps and Games, do World Wide Web Consortium (W3C) ★★★☆☆(1)
• Technical Interview, de Pramp ★★★★★(1)
• Networking for Web Developers
• Intro to Theoretical Computer Science
• Fundamentals of TinyML, da Harvard University
• Quantitative Methods for Biology, da Harvard University
• Using Python for Research, da Harvard University
• Algorithms: Design and Analysis, Part 2, da Stanford University
• Graph Search, Shortest Paths, and Data Structures, da Stanford University
• Probabilistic Graphical Models 3: Learning, da Stanford University
• Shortest Paths Revisited, NP-Complete Problems and What To Do About Them, da Stanford University
• Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming, da Stanford University
• Algorithms: Design and Analysis, Part 1, da Stanford University
• Advanced Software Construction in Java, do Massachusetts Institute of Technology
• Computational Thinking for Modeling and Simulation, do Massachusetts Institute of Technology
• Mobile Application Experiences Part 3: Building Mobile Apps, do Massachusetts Institute of Technology
• Computation Structures 2: Computer Architecture, do Massachusetts Institute of Technology
• Mobile Application Experiences, do Massachusetts Institute of Technology
• Software Development Fundamentals, da University of Pennsylvania
• Data Structures and Software Design, da University of Pennsylvania
• Algorithm Design and Analysis, da University of Pennsylvania
• Django Features and Libraries, da University of Michigan
• Intro to AR/VR/MR/XR: Technologies, Applications & Issues, da University of Michigan
• Developing AR/VR/MR/XR Apps with WebXR, Unity & Unreal, da University of Michigan
• Foundations of Healthcare Systems Engineering, da Johns Hopkins University
• Introduction to Neurohacking In R, da Johns Hopkins University
• The Merkle Tree and Cryptocurrencies, da University of California, Irvine
• Games, Sensors and Media, da University of California, Irvine
• Blockchain Technology, da University of California, Berkeley
• Bitcoin and Cryptocurrencies, da University of California, Berkeley
• Data Science: Machine Learning and Predictions, da University of California, Berkeley
• How Virtual Reality Works, da University of California, San Diego
• Algorithmic Design and Techniques, da University of California, San Diego
• Internet of Things: Sensing and Actuation From Devices, da University of California, San Diego
• Data Structures Fundamentals, da University of California, San Diego
• Graph Algorithms, da University of California, San Diego
• String Processing and Pattern Matching Algorithms, da University of California, San Diego
• Minecraft, Coding and Teaching, da University of California, San Diego
• Data Structures: An Active Learning Approach, da University of California, San Diego
• Computer Science: Algorithms, Theory, and Machines, da Princeton University
• Introduction To Soft Computing, do Indian Institute of Technology, Kharagpur
• Cloud computing, do Indian Institute of Technology, Kharagpur
• Tools in Scientific Computing, do Indian Institute of Technology, Kharagpur
• Computer Networks and Internet Protocol, do Indian Institute of Technology, Kharagpur
• Data Base Management System, do Indian Institute of Technology, Kharagpur
• Introduction to Machine Learning, da Duke University
• Java Programming: Build a Recommendation System, da Duke University
• Cloud Virtualization, Containers and APIs, da Duke University
• Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues, do Georgia Institute of Technology
• Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps, do Georgia Institute of Technology
• Introduction to Graduate Algorithms, do Georgia Institute of Technology
• Cloud Applications, do Georgia Institute of Technology
• Cloud Systems Software, do Georgia Institute of Technology
• Network Function Virtualization, do Georgia Institute of Technology
• Database Systems Concepts & Design, do Georgia Institute of Technology
• Software Analysis & Testing, do Georgia Institute of Technology
• Programming Languages, Part B, da University of Washington
• Building a Cybersecurity Toolkit, da University of Washington
• Cybersecurity: The CISO's View, da University of Washington
• Finding Your Cybersecurity Career Path, da University of Washington
• Programming Languages, Part C, da University of Washington
• Unordered Data Structures, da University of Illinois at Urbana-Champaign
• Object-Oriented Data Structures in C++, da University of Illinois at Urbana-Champaign
• Machine Learning for Accounting with Python, da University of Illinois at Urbana-Champaign
• Ordered Data Structures, da University of Illinois at Urbana-Champaign
• Data Analytics Foundations for Accountancy II, da University of Illinois at Urbana-Champaign
• Blockchain Platforms, da University at Buffalo
• Decentralized Applications (Dapps), da University at Buffalo
• Smart Contracts, da University at Buffalo
• Blockchain Basics, da University at Buffalo
• Supercomputing, da Partnership for Advanced Computing in Europe
• Mathematics for Computer Science, da University of London International Programmes
• Data Science and Agile Systems for Product Management, da University System of Maryland
• Software Construction: Data Abstraction, da The University of British Columbia
• Implementation Strategies: AI and Cognitive Computing, da The University of British Columbia
• Implementation Strategies: Cloud Computing, da The University of British Columbia
• Software Construction: Object-Oriented Design, da The University of British Columbia
• How to Code: Complex Data, da The University of British Columbia
• An Introduction to Artificial Intelligence, do Indian Institute of Technology Delhi
• Identifying Security Vulnerabilities in C/C++Programming, da University of California, Davis
• Continuous Integration, da University of California, Davis
• DevOps Culture and Mindset, da University of California, Davis
• Exploiting and Securing Vulnerabilities in Java Applications, da University of California, Davis
• Distributed Computing with Spark SQL, da University of California, Davis
• Data Wrangling, Analysis and AB Testing with SQL, da University of California, Davis
• SQL for Data Science, da University of California, Davis
• Game Design and Development 3: 3D Shooter, da Michigan State University
• Game Design and Development 4: 3D Platformer, da Michigan State University
• Game Design and Development 1: 2D Shooter, da Michigan State University
• Game Design and Development 2: 2D Platformer, da Michigan State University
• Signals, Systems, and Learning, da Rice University
• 计算机组成 Computer Organization, da Peking University
• 算法设计与分析(高级) | Advanced Design and Analysis of Algorithms, da Peking University
• 操作系统与虚拟化安全, da Peking University
• 算法基础, da Peking University
• 面向对象技术高级课程（The Advanced Object-Oriented Technology), da Peking University
• 数据结构基础, da Peking University
• 计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation, da Peking University
• 算法设计与分析 Design and Analysis of Algorithms, da Peking University
• 操作系统原理（Operating Systems), da Peking University
• 高级数据结构与算法, da Peking University
• Java程序设计, da Peking University
• LAFF – On Programming for Correctness, da The University of Texas at Austin
• Документы и презентации в LaTeX (Introduction to LaTeX), da Higher School of Economics
• Introduction to Automated Analysis, da University of Minnesota
• Black-box and White-box Testing, da University of Minnesota
• Engineering Practices for Building Quality Software, da University of Minnesota
• Software Development Processes and Methodologies, da University of Minnesota
• Lean Software Development, da University of Minnesota
• Social Networks, do Indian Institute of Technology, Ropar
• Front-End Web UI Frameworks and Tools: Bootstrap 4, da The Hong Kong University of Science and Technology
• Developing Android Apps with App Inventor, da The Hong Kong University of Science and Technology
• Server-side Development with NodeJS, Express and MongoDB, da The Hong Kong University of Science and Technology
• Applied Quantum Computing I: Fundamentals, da Purdue University
• Building Cloud Services with the Java Spring Framework, da Vanderbilt University
• Algorithms for Searching, Sorting, and Indexing, da University of Colorado Boulder
• Dynamic Programming, Greedy Algorithms, da University of Colorado Boulder
• Project Planning and Machine Learning, da University of Colorado Boulder
• Global Software Development, da Delft University of Technology
• Automated Software Testing: Unit Testing, Coverage Criteria and Design for Testability, da Delft University of Technology
• Automated Software Testing: Model and State-based Testing, da Delft University of Technology
• Fundamentals of Quantum Information, da Delft University of Technology
• Advanced System Security Topics, da University of Colorado System
• Homeland Security & Cybersecurity Connection - It's Not About the Terrorists, da University of Colorado System
• Peer-to-Peer Protocols and Local Area Networks, da University of Colorado System
• Algorithms, Data Collection, and Starting to Code, da University of Colorado System
• Data Analysis and Representation, Selection and Iteration, da University of Colorado System
• Hacking and Patching, da University of Colorado System
• Cloud Computing Security, da University of Colorado System
• Software Design Threats and Mitigations, da University of Colorado System
• Fundamentals of Network Communication, da University of Colorado System
• Requirements Elicitation: Artifact and Stakeholder Analysis, da University of Colorado System
• Linux Server Management and Security, da University of Colorado System
• Requirements Specifications: Goals and Conflict Analysis, da University of Colorado System
• Detecting and Mitigating Cyber Threats and Attacks, da University of Colorado System
• SRS Documents: Requirements and Diagrammatic Notations, da University of Colorado System
• Requirements Gathering for Secure Software Development, da University of Colorado System
• Software Requirements Prioritization: Risk Analysis, da University of Colorado System
• Data Structures and Design Patterns for Game Developers, da University of Colorado System
• Packet Switching Networks and Algorithms, da University of Colorado System
• Foundations of Data Structures, do Indian Institute of Technology Bombay
• Implementation of Data Structures, do Indian Institute of Technology Bombay
• Разработка веб-сервисов на Golang, часть 2, do Moscow Institute of Physics and Technology
• Основы HTML и CSS, do Moscow Institute of Physics and Technology
• Nuove tecnologie digitali, da University of Naples Federico II
• I sistemi Operativi Moderni, da University of Naples Federico II
• Laboratorio di programmazione: strumenti e programmi, da University of Naples Federico II
• The Introduction to Quantum Computing, da Saint Petersburg State University
• Основы и практическое применение блокчейна, da Saint Petersburg State University
• Quantum Computing. Less Formulas - More Understanding, da Saint Petersburg State University
• Competitive Programmer's Core Skills, da Saint Petersburg State University
• NoSQL systems, da Universidad Nacional Autónoma de México
• Relational database systems, da Universidad Nacional Autónoma de México
• Cognición encarnada, da Universidad Nacional Autónoma de México
• Cloud Computing Engineering and Management, da University System of Maryland
• Introducción a la Inteligencia Artificial: Principales Algoritmos, da Galileo University
• Data Structures and Algorithm Design Part I | 数据结构与算法设计(上), da Tsinghua University
• Data Structures and Algorithms (I), da Tsinghua University
• Сетевое администрирование: от теории к практике, da Tsinghua University
• Data Structures and Algorithms (II), da Tsinghua University
• Data Structures and Algorithms (III), da Tsinghua University
• Data Structures and Algorithms (IV), da Tsinghua University
• Algoritmos y Programación en R, do Tecnológico de Monterrey
• Enterprise Software Lifecycle Management, da National Research Nuclear University MEPhI
• Использование механизмов операционных систем в разработке программного обеспечения, da National Research Nuclear University MEPhI
• Getting Started with Unreal Engine, do Rochester Institute of Technology
• The Software Architect Code: Building the Digital World, da Universidad Carlos iii de Madrid
• Introduction to Java Programming: Fundamental Data Structures and Algorithms, da Universidad Carlos iii de Madrid
• I/O-efficient algorithms, do EIT Digital
• Architecting Smart IoT Devices, do EIT Digital
• Software Architecture for the Internet of Things, do EIT Digital
• Introduction to Architecting Smart IoT Devices, do EIT Digital
• Client-based Web Applications development: ReactJS & Angular, da Universidad Politécnica de Madrid
• Design Patterns, da University of Alberta
• Reviews & Metrics for Software Improvements, da University of Alberta
• Service-Oriented Architecture, da University of Alberta
• Software Architecture, da University of Alberta
• Object-Oriented Design, da University of Alberta
• Communicating with Robots and Bots, da Curtin University
• Cybersecurity and Privacy in the IoT, da Curtin University
• Understanding Artificial Intelligence through Algorithmic Information Theory, do Institut Mines-Télécom
• Advanced Algorithmics and Graph Theory with Python, do Institut Mines-Télécom
• Procedural Modelling, da National University of Singapore
• Introdução ao Teste de Software, da Universidade de São Paulo
• Using Machine Learning in Trading and Finance, do New York Institute of Finance
• Intro to Data Structures and Algorithms, da Google
• Client-Server Communication, da Google
• Offline Web Applications, da Google
• Intro to Progressive Web Apps, da Google
• Google Maps APIs, da Google
• Introduction to Data Structures, da University of Adelaide
• Cybersecurity and the X-Factor, da University System of Georgia
• Cybersecurity and the Internet of Things, da University System of Georgia
• Introduction to Computation Theory, do Santa Fe Institute
• Fundamentals of Machine Learning, do Santa Fe Institute
• Advanced Database Queries, da New York University (NYU)
• Information Security - Introduction to Information Security, da New York University (NYU)
• Information Security - Advanced topics, da New York University (NYU)
• Penetration Testing - Post Exploitation, da New York University (NYU)
• Penetration Testing - Discovering Vulnerabilities, da New York University (NYU)
• Advanced Database Administration, da New York University (NYU)
• Guided Tour of Machine Learning in Finance, da New York University (NYU)
• Enterprise and Infrastructure Security, da New York University (NYU)
• Fundamentals of Machine Learning in Finance, da New York University (NYU)
• Overview of Advanced Methods of Reinforcement Learning in Finance, daNew York University (NYU)
• Introduction to System Programming on IBM Z, da IBM
• Basic System Programming on IBM Z, da IBM
• Cybersecurity Compliance Framework & System Administration, da IBM
• Quantum Computer Systems Design III: Working with Noisy Systems, da The University of Chicago
• Quantum Computer Systems Design II: Principles of Quantum Architecture, da The University of Chicago
• Quantum Computer Systems Design I: Intro to Quantum Computation and Programming, da The University of Chicago
• Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course), da Hebrew University of Jerusalem
• Blockchain Scalability and its Foundations in Distributed Systems, da The University of Sydney
• Web App Development with the Power of Node.js, da Technische Universität München (Technical University of Munich)
• Introduction to Cloud Infrastructure Technologies, da Linux Foundation
• Introduction to Kubernetes, da Linux Foundation
• Introduction to DevOps: Transforming and Improving Operations, da Linux Foundation
• Business Considerations for 5G with Edge, IoT, and AI, da Linux Foundation
• Open Source and the 5G Transition, da Linux Foundation
• Introduction to Serverless on Kubernetes, da Linux Foundation
• Hyperledger Sawtooth for Application Developers, da Linux Foundation
• 2D Game Development with libGDX, da Amazon
• Machine Learning for Musicians and Artists, da Goldsmiths, University of London
• IoT System Architecture: Design and Evaluation, da Waseda University
• Fundamentals of Parallelism on Intel Architecture, da Intel
• An Introduction to Practical Deep Learning, da Intel
• Data Science in the Games Industry, da University of Dundee
• Web Development with Java Spring Framework, da St. Petersburg State Polytechnic University
• Intelligenza Artificiale, da University of Urbino
• Programming for Everyone – An Introduction to Visual Programming Languages, do Weizmann Institute of Science
• Internet of Things for Active Aging, da Taipei Medical University
• Orientação a Objetos com Java, do Instituto Tecnológico de Aeronáutica
• How to Win Coding Competitions: Secrets of Champions, da ITMO University
• Introduction: Elements of Microgame Design, do Worcester Polytechnic Institute
• Fundamentals of Red Hat Enterprise Linux, da Red Hat
• Mejora tu Negocio con Inteligencia Artificial, da Universidad Anáhuac
• Hacker101, de HackerOne
• Python in High Performance Computing, da Partnership for Advanced Computing in Europe
• Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla, da Universidad del Rosario
• Design a Feminist Chatbot, do Institute of Coding
• Foundations of Machine Learning, da Bloomberg
• Introduction to Applied Machine Learning, do Alberta Machine Intelligence Institute
• Bias and Discrimination in AI, da Université de Montréal
• Deep Learning Essentials, da Université de Montréal
• SQL for Data Analysis
• Deploying Applications with Heroku
• Dynamic Web Applications with Sinatra
• UIKit Fundamentals
• VR Scenes and Objects
• MongoDB for Javascript Developers
• MongoDB for Python Developers
• Designing RESTful APIs

Cursos de programação avançados (151)

• Machine Learning Foundations: A Case Study Approach, da University of Washington ★★★★☆(38)
• [Novo] Introduction to parallel programming with OpenMP and MPI, do Indian Institute of Technology Delhi
• Machine Learning: Regression, da University of Washington ★★★★★(18)
• Machine Learning for Data Science and Analytics, da Columbia University ★★★☆☆(15)
• Probabilistic Graphical Models 1: Representation, da Stanford University ★★★★☆(14)
• Machine Learning With Big Data, da University of California, San Diego ★★☆☆☆(12)
• Hardware Security, da University of Maryland, College Park ★★★☆☆(11)
• Introduction to Artificial Intelligence, da Stanford University ★★★★★(9)
• Reinforcement Learning, da Brown University ★★☆☆☆(6)
• Machine Learning: Classification, da University of Washington ★★★★★(6)
• Enabling Technologies for Data Science and Analytics: The Internet of Things, da Columbia University ★☆☆☆☆(5)
• Advanced Operating Systems, do Georgia Institute of Technology ★★★★★(5)
• Interactive 3D Graphics, da Autodesk ★★★★★(5)
• Machine Learning, do Georgia Institute of Technology ★★★★★(4)
• Parallel programming, da École Polytechnique Fédérale de Lausanne ★★★★☆(4)
• Introduction to Computer Architecture, da Carnegie Mellon University ★★★★★(4)
• Probabilistic Graphical Models 2: Inference, da Stanford University ★★★★☆(3)
• Machine Learning: Clustering & Retrieval, da University of Washington ★★★★★(3)
• Practical Predictive Analytics: Models and Methods, da University of Washington ★★☆☆☆(3)
• Regression Modeling in Practice, da Wesleyan University ★★★★☆(3)
• Machine Learning for Data Analysis, da Wesleyan University ★★★☆☆(3)
• Quantitative Formal Modeling and Worst-Case Performance Analysis, do EIT Digital ★★★☆☆(3)
• Nearest Neighbor Collaborative Filtering, da University of Minnesota ★★☆☆☆(2)
• Computability, Complexity & Algorithms, do Georgia Institute of Technology ★★★★★(1)
• High Performance Computer Architecture, do Georgia Institute of Technology ★★★★★(1)
• Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud, da University of Illinois at Urbana-Champaign ★★★★☆(1)
• Relational Database Support for Data Warehouses, da University of Colorado System ★★☆☆☆(1)
• Practical Deep Learning For Coders, de fast.ai ★★★★★(1)
• Structuring Machine Learning Projects, de deeplearning.ai
• Convolutional Neural Networks, de deeplearning.ai
• Neural Networks and Deep Learning, de deeplearning.ai
• Sequence Models, de deeplearning.ai
• Real-Time Audio Signal Processing in Faust, da Stanford University
• Computation Structures 3: Computer Organization, do Massachusetts Institute of Technology
• Applied Machine Learning in Python, da University of Michigan
• Artificial Intelligence for Breast Cancer Detection, da Johns Hopkins University
• Design Thinking and Predictive Analytics for Data Products, da University of California, San Diego
• NP-Complete Problems, da University of California, San Diego
• Deploying Machine Learning Models, da University of California, San Diego
• Artificial Intelligence: Knowledge Representation And Reasoning, do Indian Institute of Technology Madras
• Introduction to Machine Learning, do Indian Institute of Technology Madras
• Reinforcement Learning, do Indian Institute of Technology Madras
• GPU Architectures and Programming, do Indian Institute of Technology, Kharagpur
• Traditional and Non-Traditional Optimization Tools, do Indian Institute of Technology, Kharagpur
• Deep Learning, do Indian Institute of Technology, Kharagpur
• Deep Learning for Visual Computing, do Indian Institute of Technology, Kharagpur
• Cloud Machine Learning Engineering and MLOps, da Duke University
• FA17: Machine Learning, do Georgia Institute of Technology
• Artificial Intelligence, do Georgia Institute of Technology
• Machine Learning, do Georgia Institute of Technology
• Compilers: Theory and Practice, do Georgia Institute of Technology
• Cyber-Physical Systems Security, do Georgia Institute of Technology
• Cyber-Physical Systems Design & Analysis, do Georgia Institute of Technology
• GT - Refresher - Advanced OS, do Georgia Institute of Technology
• Knowledge-Based AI: Cognitive Systems, do Georgia Institute of Technology
• Quantum Machine Learning, da University of Toronto
• Information Security: Context and Introduction, da University of London International Programmes
• 离散优化建模高阶篇 Advanced Modeling for Discrete Optimization, da The Chinese University of Hong Kong
• 离散优化算法篇 Solving Algorithms for Discrete Optimization, da The Chinese University of Hong Kong
• Solving Algorithms for Discrete Optimization, da University of Melbourne
• 离散优化建模基础篇 Basic Modeling for Discrete Optimization, da The Chinese University of Hong Kong
• Advanced Modeling for Discrete Optimization, da University of Melbourne
• Basic Modeling for Discrete Optimization, da University of Melbourne
• Computer Simulations, da University of California, Davis
• Concurrent Programming in Java, da Rice University
• Distributed Programming in Java, da Rice University
• Parallel Programming in Java, da Rice University
• Machine Learning, da The University of Texas at Austin
• LAFF-On Programming for High Performance, da The University of Texas at Austin
• Менеджмент информационной безопасности, da Higher School of Economics
• Introduction to Formal Concept Analysis, da Higher School of Economics
• Методы и средства защиты информации, da Higher School of Economics
• Обработка изображений, da Higher School of Economics
• Calculus and Optimization for Machine Learning, da Higher School of Economics
• Practical Reinforcement Learning, da Higher School of Economics
• First Steps in Linear Algebra for Machine Learning, da Higher School of Economics
• Estimating ML-Models Financial Impact, da Higher School of Economics
• Introduction to Deep Learning, da Higher School of Economics
• Addressing Large Hadron Collider Challenges by Machine Learning, da Higher School of Economics
• Bayesian Methods for Machine Learning, da Higher School of Economics
• Matrix Factorization and Advanced Techniques, da University of Minnesota
• Introduction to Recommender Systems: Non-Personalized and Content-Based, da University of Minnesota
• Recommender Systems: Evaluation and Metrics, da University of Minnesota
• Cloud Computing and Distributed Systems, do Indian Institute of Technology Patna
• Deep Learning - IIT Ropar, do Indian Institute of Technology, Ropar
• Introduction to High-Performance and Parallel Computing, da University of Colorado Boulder
• Nature, in Code: Biology in JavaScript, da École Polytechnique Fédérale de Lausanne
• Optimization: principles and algorithms - Network and discrete optimization, da École Polytechnique Fédérale de Lausanne
• MATLAB et Octave pour débutants, da École Polytechnique Fédérale de Lausanne
• Optimization: principles and algorithms - Unconstrained nonlinear optimization, da École Polytechnique Fédérale de Lausanne
• Optimization: principles and algorithms - Linear optimization, da École Polytechnique Fédérale de Lausanne
• Machine Learning e Data Mining in R, da University of Naples Federico II
• Il linguaggio naturale, dall'uomo alla macchina, da University of Naples Federico II
• 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations, da National Taiwan University
• 人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic), da National Taiwan University
• 人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory), da National Taiwan University
• Operations Research (1): Models and Applications, da National Taiwan University
• Operations Research (2): Optimization Algorithms, da National Taiwan University
• One-way Quantum Computation, da Saint Petersburg State University
• Mathematics for Machine Learning: Multivariate Calculus, da Imperial College London
• Mathematics for Machine Learning: PCA, do Imperial College London
• Sesenta años de inteligencia artificial, da Universidad Nacional Autónoma de México
• Razonamiento artificial, da Universidad Nacional Autónoma de México
• Introducción al diseño de hardware con Verilog, da Galileo University
• 计算几何 | Computational Geometry, da Tsinghua University
• Big Data Machine Learning | 大数据机器学习, da Tsinghua University
• System Validation: Automata and behavioural equivalences, do EIT Digital
• Automated Reasoning: Symbolic Model Checking, do EIT Digital
• System Validation (2): Model process behaviour, do EIT Digital
• Approximation Algorithms, do EIT Digital
• System Validation (4): Modelling Software, Protocols, and other behaviour, do EIT Digital
• System Validation (3): Requirements by modal formulas, do EIT Digital
• Fundamentals of Reinforcement Learning, da University of Alberta
• Prediction and Control with Function Approximation, da University of Alberta
• Sample-based Learning Methods, da University of Alberta
• Optimize ML Models and Deploy Human-in-the-Loop Pipelines, de deeplearning.ai
• Performative Modelling, da National University of Singapore
• Generative Modelling, da National University of Singapore
• Reinforcement Learning in Finance, da New York University (NYU)
• Deep Learning and Reinforcement Learning, da IBM
• Introduction to Cloud Foundry and Cloud Native Software Architecture, da Linux Foundation
• Secure Software Development: Requirements, Design, and Reuse, da Linux Foundation
• Introduction to OpenStack, da Linux Foundation
• Building a RISC-V CPU Core, da Linux Foundation
• Introduction to RISC-V, da Linux Foundation
• Introduction to Hyperledger Blockchain Technologies, da Linux Foundation
• RISC-V Toolchain and Compiler Optimization Techniques, da Linux Foundation
• Secure Software Development: Verification and More Specialized Topics, da Linux Foundation
• Sparse Representations in Image Processing: From Theory to Practice, do Technion - Israel Institute of Technology
• Sparse Representations in Signal and Image Processing: Fundamentals, do Technion - Israel Institute of Technology
• Cyber-Physical Systems: Modeling and Simulation, da University of California, Santa Cruz
• Deploying Machine Learning Models in Production, de deeplearning.ai
• Sequences, Time Series and Prediction, de deeplearning.ai
• AI for Medical Diagnosis, de deeplearning.ai
• AI for Medical Prognosis, de deeplearning.ai
• Introduction to Machine Learning in Production, de deeplearning.ai
• Machine Learning Data Lifecycle in Production, de deeplearning.ai
• Machine Learning Modeling Pipelines in Production, de deeplearning.ai
• AI For Medical Treatment, de deeplearning.ai
• Apply Generative Adversarial Networks (GANs), de deeplearning.ai
• Build Basic Generative Adversarial Networks (GANs), de deeplearning.ai
• Build Better Generative Adversarial Networks (GANs), de deeplearning.ai
• Custom Models, Layers, and Loss Functions with TensorFlow, de deeplearning.ai
• Generative Deep Learning with TensorFlow, de deeplearning.ai
• Computer System Design: Advanced Concepts of Modern Microprocessors, da Chalmers University of Technology
• Approximation Algorithms Part II, da École normale supérieure
• Systems and Application Security, de (ISC)²
• Security Operations and Administration, de (ISC)²
• Access Controls, de (ISC)²
• Big Data Applications: Machine Learning at Scale, de Yandex
• Optimizing Machine Learning Performance, do Alberta Machine Intelligence Institute