12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Examples and guides for using the OpenAI API

Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

This is a repo with links to everything you'd ever want to learn about data engineering

10 Weeks, 20 Lessons, Data Science for All!

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

AirLLM 70B inference with single 4GB GPU

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…