freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
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freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
🎓 Path to a free self-taught education in Computer Science!
24 Lessons, 12 Weeks, Get Started as a Web Developer
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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
Anthropic's Interactive Prompt Engineering Tutorial
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...
FCC China open source codebase and curriculum. Learn to code and help nonprofits.
This repository contains the Hugging Face Agents Course.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
deep learning for image processing including classification and object-detection etc.
Neural Networks: Zero to Hero
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.
Harness engineering beginner tutorial, from 0 to 1
Translated100-Days-Of-ML-Code Chinese version
💻 Vibe Coding 101|Your First Course For AI Product Builders.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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.
12 Weeks, 24 Lessons, IoT for All!