Hands-on AI projects library
patchy631/ai-engineering-hub offers in-depth tutorials on large language models (LLMs), retrieval-augmented generation (RAG), and real-world AI agent applications. Prepared in Jupyter Notebook format, this resource serves as a comprehensive learning hub for those looking to build AI-based systems.
What you get
- Offers over ninety-three ready-to-use projects for beginner, intermediate, and advanced levels.
- Includes detailed guides on large language models and AI agents.
- Provides examples for learning retrieval-augmented generation (RAG) systems.
Getting started
To get started with the project, you can review the learning roadmap available on the official GitHub page. After selecting a project suitable for your level, you can follow the interactive coding environment Jupyter Notebook documents to carry out your work.
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Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-11-02: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.