🎓 Path to a free self-taught education in Computer Science!
- computer-science
- awesome-list
- courses
- curriculum
47,133 repositories indexed
1–24 of 85 · Most stars
🎓 Path to a free self-taught education in Computer Science!
21 Lessons, Get Started Building with Generative AI
24 Lessons, 12 Weeks, Get Started as a Web Developer
18 Lessons to Get Started Building AI Agents
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Learn AI Engineering! Learn it. Build it. Ship it for others.
Learn how to develop, deploy and iterate on production-grade ML applications.
Learn how to design systems at scale and prepare for system design interviews
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
A brief computer graphics / rendering course
This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.
💻 Vibe Coding 101|Your First Course For AI Product Builders.
TranslatedFull-stack engineer training materials
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
TranslatedAISystem mainly refers to AI systems, covering the full stack of underlying AI technologies, including AI chips, AI compilers, and AI inference and training frameworks
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Starter files, final projects, and FAQ for my Complete JavaScript course
12 Weeks, 24 Lessons, IoT for All!
Curso de HTML5 e CSS3
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Curso para aprender a trabajar con el sistema de control de versiones Git y la plataforma GitHub desde cero y para principiantes.