21 Lessons, Get Started Building with Generative AI
18 Lessons to Get Started Building AI Agents
Python - 100倩δ»ζ°ζε°ε€§εΈ
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Examples and guides for using the OpenAI API
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here ππΌ
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.
Developer Asset Hub for NVIDIA Nemotron β A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
Learn ML engineering for free in 4 months! Register here ππΌ
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
A collection of guides and examples for the Gemma open models from Google.
A collection of guides and code examples for building AI applications with open models on Nebius Token Factory.