Como de costume, de tempos em tempos posto aqui no blog uma lista contendo alguns dos principais cursos online que tenho acesso e interesse. Meu objetivo é compartilhar com quem tiver os mesmos interesses uma lista organizada por área e plataforma de cursos de qualidade que fiz, estou fazendo ou tenho interesse. Espero que encontre algo de seu interesse nessa lista.
👩💻Programação no Geral:
Engenharia e Arquitetura de Software/ Estrutura de Dados:
Coursera:
Introdução ao Teste de Software - 16 h - [✔️]
Laboratório de Programação Orientada a Objetos - Parte 1 - 22 h - [✔️]
Laboratório de Programação Orientada a Objetos - Parte 2 - 15 h - [✔️]
Princípios de Desenvolvimento Ágil de Software - 17 h - [✔️]
Desenvolvimento Ágil com Padrões de Projeto - 18 h - [✔️]
TDD – Desenvolvimento de software guiado por testes - 17 h - [✔️]
Introdução ao Desenvolvimento de Aplicativos Android - 07 h - [✔️]
Operations Research (1): Models and Applications - 11 h - [ ]
Operations Research (2): Optimization Algorithms - 12 h - [ ]
Otimização discreta - 65 h - [ ]
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming - 15 h - [ ]
Basic Modeling for Discrete Optimization - 28 h - [ ]
Advanced Modeling for Discrete Optimization - 47 h - [ ]
Solving Algorithms for Discrete Optimization - 22 h - [ ]
Análise de Algoritmos - 21 h - [ ]
Arquitetura de Computadores - 50 h - [ ]
Algoritmos, Parte I - 54 h - [ ]
edX:
Algorithms: Design and Analysis, Part 1 - 24 h - [ ]
Algorithm Design and Analysis - 32 h - [ ]
Data Structures and Software Design - 40 h - [ ]
String Processing and Pattern Matching Algorithms - 40 h - [ ]
NP-Complete Problems - 30 h - [ ]
CS50's Introduction to Computer Science - 216 h - [ ]
freeCodeCamp:
Coding Interview Prep - 00 h - [ ]
Quality Assurance - 00 h - [ ]
CognitiveClass:
Reactive Architecture: Introduction to Reactive Systems - 05 h - [ ]
Reactive Architecture: Distributed Messaging Platforms - 06 h - [ ]
NoSQL and DBaaS 101 - 02 h - [ ]
Build an IoT Blockchain Network for a Supply Chain - 04 h - [ ]
Getting started with MySQL command line - 01 h - [ ]
Python:
Coursera:
Introdução à Ciência da Computação com Python Parte 1 - 42 h - [✔️]
Introdução à Ciência da Computação com Python Parte 2 - 29 h - [✔️]
Problem Solving, Python Programming, and Video Games - 80 h - [ ]
Programa de cursos integrados Python 3 Programming - 105 h - [ ]
Estruturas de dados Python - 20 h - [ ]
Practical Python for AI Coding 1 - 11 h - [ ]
Practical Python for AI Coding 2 - 09 h - [ ]
Programação para todos (Conceitos básicos de Python) - 19 h - [ ]
Programa de cursos integrados Python para todos - 08 m - [ ]
Programa de cursos integrados Fundamentos da computaçãoFundamentos da Computação - 7 m - [ ]
Python and Statistics for Financial Analysis - 13 h - [ ]
edX:
CS50's Introduction to Programming with Python - 90 h - [ ]
Scripting with Python - 160 h - [ ]
Python Data Structures - 28 h - [ ]
Python: aprender a programar - 32 h - [ ]
Computing in Python I: Fundamentals and Procedural Programming - 50 h - [ ]
Computing in Python II: Control Structures - 50 h - [ ]
Computing in Python III: Data Structures - 50 h - [ ]
Computing in Python IV: Objects & Algorithms - 50 h - [ ]
Advanced Algorithmics and Graph Theory with Python - 24 h - [ ]
freeCodeCamp:
Scientific Computing with Python - 00 h - [ ]
Linkedin:
Learning Python - 03 h - [ ]
CognitiveClass:
Python for Data Science - 20 h - [ ]
Create a Cryptocurrency Trading Algorithm in Python - 30min - [ ]
Python Mini-Game Project - 30min - [ ]
Accessing MongoDB Using Python - 30min - [ ]
C#:
Coursera:
Object Oriented Development using C# - 18 h - [ ]
Linkedin:
Learning C# - 03 h - [ ]
Java:
Coursera:
Orientação a Objetos com Java - 32 h - [✔️]
Desenvolvimento Ágil com Java Avançado - 18 h - [✔️]
Programa de cursos integrados Java Programming and Software Engineering Fundamentals - 5 m - [ ]
Programação Java: Arrays, listas e dados estruturados - 14 h - [ ]
Programação em Java: solução de problemas com software - 17 h - [ ]
edX:
Java Programming Fundamentals - 50 h - [ ]
Introduction to Java Programming: Starting to code in Java - 35 h - [ ]
Introduction to Java Programming: Writing Good Code - 35 h - [ ]
Introduction to Java Programming – Part 1 - 25 h - [ ]
Introduction to Java Programming – Part 2 - 25 h - [ ]
Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics
- 36 h - [ ]
Introduction to Object-Oriented Programming with Java II: Object-Oriented Programming and Algorithms - 36 h - [ ]
Introduction to Object-Oriented Programming with Java III: Exceptions, Data Structures, Recursion, and GUIs - 36 h - [ ]
Introduction to Java Programming: Fundamental Data Structures and Algorithms - 35 h - [ ]
Linkedin:
Learning Java - 03 h - [ ]
C++:
edX:
Introduction to Programming in C++ - 64 h - [ ]
Advanced Programming in C++ - 72 h - [ ]
Introduction to Data Structures - 77 h - [ ]
Advanced Data Structures - 81 h - [ ]
🎮Game Design e Programação de Jogos:
Coursera:
A complexidade sensível: Um paralelo entre videogames e arte - 08 h - [✔️]
Introdução ao design de jogos - 06 h - [✔️]
História e desenvolvimento de narrativa para Video Games - 12 h - [✔️]
Design global de video games - 08 h - [✔️]
Design de Personagens para Jogos - 09 h - [✔️]
Game Design Document: Define the Art & Concepts - 16 h - [✔️]
Jogos Online: Literatura, Nova mídia e Narrativa - 21 h - [ ]
Mobile VR App Development with Unity - 32 h - [ ]
Data Structures and Design Patterns for Game Developers - 22 h - [ ]
Introduction to C# Programming and Unity - 19 h - [ ]
More C# Programming and Unity - 23h - [ ]
Intermediate Object-Oriented Programming for Unity Games - 54 h - [ ]
Pixel Art for Video Games - 09h - [ ]
Low Poly Art For Video Games - 17h - [ ]
Concept Art for Video Games - 06h - [✔️]
Gamificação - 17 h - [ ]
Serious Gaming - 09 h - [ ]
Programa de cursos integrados Art for Games - 32 h - [ ]
Jogos Online: Literatura, Nova mídia e Narrativa - 21 h - [ ]
Introduction to Augmented Reality and ARCore - 11 h - [ ]
UX / UI: Fundamentos para o design de interface - 19 h - [ ]
Be Your Best Creative Self - 21 h - [ ]
The Language of Design: Form and Meaning - 08 h - [ ]
Design and Make Infographics (Project-Centered Course) - 09 h - [ ]
Introduction to User Experience Design - 06 h - [✔️]
Avatar Psychology for Designers - 10 h - [✔️]
An Introduction to Accessibility and Inclusive Design - 15 h - [ ]
Innovation Through Design: Think, Make, Break, Repeat - 16 h - [ ]
Design Centrado no Ser Humano: Introdução - 14 h - [ ]
Design de interação - Trabalho de conclusão de curso - 36 h - [ ]
Script Writing: Write a Pilot Episode for a TV or Web Series (Project-Centered) - 22 h - [ ]
edX:
CS50's Introduction to Game Development - 108 h - [ ]
Introduction to Game Design - 70 h - [ ]
Video Game Writing Essentials - 30 h - [ ]
Writing Video Game Characters - 30 h - [ ]
Writing Video Game Scenes and Dialogue - 30 h - [ ]
Worldbuilding for Video Games - 30 h - [ ]
Interactive Narrative - 30 h - [ ]
Working as a Game Writer - 30 h - [ ]
Introduction to video game development with Unity - 24 h - [ ]
Unreal Engine Interactive 3D: Sequencer-Cinematography, Interfaces, Visual Effects, Pipelines, and Production - 24 h - [ ]
UX Prototyping - 54 h - [ ]
Accessible Gamification - 15 h - [ ]
Introduction to Game Design: Process and Creation - 40 h - [ ]
The Basics of Level Design - 60 h - [ ]
Types of Games in Level Design - 60 h - [ ]
Shooters and Game Engines in Level Design - 60 h - [ ]
Introduction to Psychological Aspects of Game Design - 40 h - [ ]
Introduction to Game Design: Process and Creation - 40 h - [ ]
Introduction to Game Design: Game Systems and Balance - 40 h - [ ]
Human-Computer Interaction I: Fundamentals & Design Principles - 36 h - [ ]
Human-Computer Interaction II: Cognition, Context & Culture - 36 h - [ ]
Human-Computer Interaction III: Ethics, Needfinding & Prototyping - 36h - [ ]
Product Design, Prototyping, and Testing - 12h - [ ]
Design Thinking and Creativity for Innovation - 100h - [ ]
Design Thinking Fundamentals - 72h - [ ]
Design Thinking: Ideation, Iteration and Communication - 72h - [ ]
Design Thinking: Empathizing to Understand the Problem - 72h - [ ]
Design Thinking: Prototyping and User Testing - 72h - [ ]
UX Design - 54h - [ ]
Introduction to User Experience - 36h - [ ]
UX Research - 54h - [ ]
UX Prototyping - 54h - [ ]
UX Data Analysis - 54h - [ ]
UX Management - 54h - [ ]
UX Evaluation: User Testing - 54h - [ ]
Amazon:
Game Tech Learning Plan - 18 h - [ ]
Introduction to AWS Cloud Game Development - 01 h - [ ]
Linkedin:
Sebastien Deguy: Allegorithmic Changing the Art of Games - 01 h - [ ]
🤖Inteligência Artificial e Ciência de Dados:
Coursera:
Programa de cursos integrados Aprendizagem Automática - 7 m - [✔️]
Convolutional Neural Networks - 41 h - [ ]
Deep Learning Applications for Computer Vision - 23 h - [ ]
Probabilistic Deep Learning with TensorFlow 2 - 53 h - [ ]
Redes neurais e aprendizagem profunda - 29 h - [ ]
Deep Learning for Business - 08 h - [ ]
Programa de cursos integrados Aprendizagem profunda - 5 m - [ ]
Programa de cursos integrados Reforço de aprendizagem - 5 m - [ ]
Aprendizagem Automática na Prática - 09 h - [ ]
Machine Teaching for Autonomous AI - 12 h - [ ]
Machine Learning Basics - 15 h - [ ]
Machine Learning for All - 22 h - [ ]
Introduction to Machine Learning - 26 h - [ ]
Machine Learning: Concepts and Applications - 38 h - [ ]
Probabilistic Deep Learning with TensorFlow 2 - 53 h - [ ]
Getting started with TensorFlow 2 - 26 h - [ ]
Introduction to Data Science in Python - 31 h - [ ]
Applied Machine Learning in Python - 34 h - [ ]
Fundamentals of Reinforcement Learning - 15 h - [ ]
A Complete Reinforcement Learning System - 16 h - [ ]
Data Processing Using Python - 29 h - [ ]
Foundations of Data Science: K-Means Clustering in Python - 29 h - [ ]
Data Science Math Skills - 13 h - [ ]
Bayesian Statistics: From Concept to Data Analysis - 12 h - [ ]
Biology Meets Programming: Bioinformatics for Beginners - 19 h - [ ]
Plataforma Hadoop e framework de aplicação - 26 h - [ ]
Fundamentals of CNNs and RNNs - 05 h - [ ]
Inteligência Artificial para Logística - 33 h - [ ]
Practical Reinforcement Learning - 26 h - [ ]
Bayesian Methods for Machine Learning - 33 h - [ ]
Processamento da Linguagem Natural - 32 h - [ ]
Deep Learning in Computer Vision - 13 h - [ ]
NLP System Architecture and Dev-Ops - 11 h - [ ]
Machine Teaching for Autonomous AI - 12 h - [ ]
Designing Autonomous AI - 12 h - [ ]
Deep Learning Applications for Computer Vision - 23 h - [ ]
AI and the Illusion of Intelligence - 10 h - [ ]
What is “the mind” and what is artificial intelligence? - 08 h - [ ]
Programa de cursos integrados Ciência de dados aplicada com Python - 5 m - [ ]
Artificial Intelligence in Marketing - 11 h - [ ]
Computer Vision Basics - 13 h - [ ]
Deep Learning for Business - 08 h - [ ]
Sesenta años de inteligencia artificial - 05 h - [✔️]
Razonamiento artificial - 21 h - [ ]
Comportamiento adaptativo - 09 h - [✔️]
Cognición encarnada - 28 h - [ ]
Bancos de dados e SQL para Ciência de Dados - 14 h - [ ]
Aprendizado de máquina com Python - 22 h - [ ]
edX:
CS50's Introduction to Artificial Intelligence with Python - 210 h - [ ]
Machine Learning with Python: from Linear Models to Deep Learning - 210 h - [ ]
Data Science: Machine Learning - 32 h - [ ]
Machine Learning for Data Science and Analytics - 50 h - [ ]
Machine Learning Fundamentals - 100 h - [ ]
Introduction to Scientific Machine Learning - 112 h - [ ]
Understanding Artificial Intelligence through Algorithmic Information Theory - 40 h - [ ]
freeCodeCamp:
Data Visualization - 00 h - [ ]
Data Analysis with Python - 00 h - [ ]
Machine Learning with Python - 00 h - [ ]
Microsoft:
Azure SQL fundamentals - 00 h - [ ]
Microsoft Azure AI Fundamentals: Explore visual tools for machine learning - 00 h - [ ]
Linkedin:
Become a Data Analyst - 38 h - [ ]
CognitiveClass:
Data Science 101 - 03 h - [ ]
Game-playing AI with Swift for TensorFlow (S4TF) - 04 h - [ ]
Deep Learning Fundamentals - 03 h - [ ]
Introduction to Machine Learning with Sound - 04 h - [ ]
Data Science Methodology - 03 h - [ ]
Data Analysis with Python - 03 h - [ ]
Machine Learning with Python - 03 h - [ ]
Data Visualization with Python - 03 h - [ ]
Deep Learning with TensorFlow - 03 h - [ ]
Accelerating Deep Learning with GPUs - 05 h - [ ]
Machine Learning - Dimensionality Reduction - 06 h - [ ]
Analyzing Spreadsheet Data with Python - 40 min - [ ]
Deploy an AI-powered Discord Bot with a Voice - 02 h - [ ]
Train a Hotdog Image Recognition Model with Python - 01 h - [ ]
Machine learning with Apache SystemML - 03 h - [ ]
Playing TicTacToe with Reinforcement Learning and OpenAI Gym - 45 min - [ ]
Data Science Tools - 04 h - [ ]
Digital Analytics & Regression - 06 h - [ ]
Build Your Own Chatbot - 04 h - [ ]
Machine Learning for Sequential Data - 45 min - [ ]
Machine Learning Explainability - 45 min - [ ]
Classifying Cats & Dogs with HOG and SVM - 01 h - [ ]
Hands-on Guide to Transfer Learning - 45 min - [ ]
Data Privacy Fundamentals - 03 h - [ ]
Predictive Modeling Fundamentals I - 06 h - [ ]
💼Negócios, Administração, Gestão e Empreendedorismo:
Coursera:
Programa de cursos integrados Introdução aos Princípios e Práticas da Gestão De Projetos - 6 m - [✔️]
Inove na gestão de equipes e negócios: O crescimento da empresa - 12 h - [ ]
Consolidando empresas: Estrutura jurídica e financeira - 15 h - [ ]
O Empreendedorismo e as Competências do Empreendedor - 13 h - [ ]
Introdução à Economia do Trabalho: Teorias e Políticas - 14 h - [ ]
Crowdfunding - 05 h - [✔️]
Pensamento Crítico, Lógica e Argumentação - 25 h - [ ]
Deep Learning for Business - 08 h - [ ]
How to Manage a Remote Team - 11 h - [ ]
Agile with Atlassian Jira - 13 h - [ ]
Gestão para a Aprendizagem: Módulo Gestão Estratégica - 08 h - [ ]
Gestão de Operações - 19 h - [ ]
Introdução ao Marketing Analítico - 24 h - [ ]
Administração Financeira - 23 h - [ ]
Teoria Geral da Administração para Executivos - 08 h - [ ]
Criação de Startups: Como desenvolver negócios inovadores - 27 h - [ ]
The Manager's Toolkit: A Practical Guide to Managing People at Work - 29 h - [ ]
How to Validate your Startup Idea - 21 h - [ ]
Mercados financeiros - 33 h - [ ]
Gestão da inovação - 11 h - [ ]
Finanças comportamentais - 05 h - [ ]
Análise Organizacional - 25 h - [ ]
Mercados Financeiros - 33 h - [ ]
Iniciando e planejando projetos - 07 h - [✔️]
Google:
Google Analytics para iniciantes - 00 h - [ ]
Curso avançado do Google Analytics - 00 h - [ ]
Fundamentals of digital marketing - 00 h - [ ]
🧠Neurociência, Filosofia e Cognição:
Coursera:
Neurociência Computacional - 26 h - [✔️]
Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences
- 10 h - [ ]
Sinapses, Neurônios e Cérebros - 20 h - [ ]
Introdução à Filosofia - 19 h - [ ]
Introdução à Logica - 47 h - [ ]
Percepção visual e o cérebro - 14 h - [ ]
Uma introdução à neurociência do consumidor e ao neuromarketing - 26 h - [ ]
Neurociência Médica - 71 h - [ ]
Compreendendo o Cérebro: Neurobiologia da Vida Cotidiana - 28 h - [ ]
Advanced Neurobiology I - 27 h - [ ]
Advanced Neurobiology II - 26 h - [ ]
Comportamento e Bem-Estar Animal - 10 h - [ ]
Emoção e Cognição Canina - 22 h - [ ]
🧮Matemática:
Coursera:
Programa de cursos integrados Matemática para aprendizagem automática - 4 m - [ ]
Math for AI beginner part 1 Linear Algebra - 07 h - [✔️]
Pré-cálculo - 47 h - [ ]
Introduction to Calculus - 59 h - [ ]
Introduction to Complex Analysis - 27 h - [ ]
Introdução ao Pensamento Matemático - 39 h - [ ]
Calculus: Single Variable Part 1 - Functions - 14 h - [ ]
Calculus: Single Variable Part 2 - Differentiation - 10 h - [ ]
Calculus: Single Variable Part 3 - Integration - 17 h - [ ]
Calculus: Single Variable Part 4 - Applications - 21 h - [ ]
Fibonacci Numbers and the Golden Ratio - 10 h - [ ]
Single Variable Calculus - 14 h - [ ]
Introduction to Statistics - 15 h - [ ]
Matrix Methods - 07 h - [ ]
An Intuitive Introduction to Probability - 30 h - [ ]
Introduction to Complex Analysis - 27 h - [ ]
Probability and Statistics: To p or not to p? - 16 h - [ ]
Combinatória Analíticas - 17 h - [ ]
Mastering Statics - 21 h - [ ]
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
- 35 h - [ ]
📚Conteúdos e livros online gratuitos indicados:
Refactoring Guru, Padrões de Projeto e Refatoração: <https://refactoring.guru/pt-br>
Source Making, Padrões de Projeto e Refatoração e UML: <https://sourcemaking.com/>
Game Programming Patterns: <https://gameprogrammingpatterns.com/contents.html>
Deep Learning Book <https://www.deeplearningbook.com.br/>
All the Math You Need to Know in Artificial Intelligence <https://www.freecodecamp.org/news/all-the-math-you-need-in-artificial-intelligence/>
The Java Handbook – Learn Java Programming for Beginners <https://www.freecodecamp.org/news/the-java-handbook/>
The Software Architecture Handbook <https://www.freecodecamp.org/news/an-introduction-to-software-architecture-patterns/>
The Python Handbook – Learn Python for Beginners <https://www.freecodecamp.org/news/the-python-handbook/>
The Ultimate Python Beginner's Handbook <https://www.freecodecamp.org/news/the-python-guide-for-beginners/>
The Python Code Example Handbook – Simple Python Program Examples for Beginners <https://www.freecodecamp.org/news/python-code-examples-simple-python-program-example/>
The AI Chatbot Handbook – How to Build an AI Chatbot with Redis, Python, and GPT <https://www.freecodecamp.org/news/how-to-build-an-ai-chatbot-with-redis-python-and-gpt/>
Full C# Course for Beginners <https://www.freecodecamp.org/news/c-sharp-tutorial-for-beginners/>
Learn C++ Programming for Beginners – Free 31-Hour Course <https://www.freecodecamp.org/news/learn-c-with-free-31-hour-course/>
Unity Tutorials Raywenderlich <https://www.raywenderlich.com/home>
Unity Tutorials Danielilett <https://danielilett.com/tutorials/>
Unity Learn <https://learn.unity.com/>
Unreal Engine 5 for Unity Developers <https://docs.unrealengine.com/5.0/en-US/unreal-engine-for-unity-developers/>
Univesp <https://www.youtube.com/user/univesptv>
Canal da USP <https://www.youtube.com/c/CanalUSP>
Referências:
<https://www.classcentral.com/report/free-google-certifications/>
<https://www.freecodecamp.org/>
<https://www.freecodecamp.org/news/tag/artificial-intelligence/>
<https://www.classcentral.com/report/matlab-free-certificates/>
<https://www.classcentral.com/report/free-certificates/>
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