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!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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 how to develop, deploy and iterate on production-grade ML applications.
Learn how to design systems at scale and prepare for system design interviews
TranslatedGuidance for courses in Department of Computer Science and Technology, Tsinghua University
10 Weeks, 20 Lessons, Data Science for All!
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Course Files for Complete Python 3 Bootcamp Course on Udemy
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.
Translated100-Days-Of-ML-Code Chinese version
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.
Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Python training for business analysts and traders
TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields
chai aur react series on youtube
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
TranslatedCrash Course Computer Science (5,090,000 views) (40 episodes in total, each 10 minutes) Translation completed in 2018. The comment section has a lot of praise
Open Machine Learning Course
Tutorials, assignments, and competitions for MIT Deep Learning related courses.