10 Best AI Engineering GitHub Repos to Build Real Systems

1. Hands-On-Large-Language-Models

   1 2 28,058 6.0 Jupyter Notebook

   Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

   

   It’s the full code from the book, with notebooks covering LLM basics, training, and fine-tuning. If you like a guided, notebook-first path from foundations to customization, this feels like a friendly trail map. Link: https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

2. SaaSHub

   www.saashub.com sponsored

   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

3. ai-agents-for-beginners

   2 7 71,669 9.8 Jupyter Notebook

   18 Lessons to Get Started Building AI Agents

   

   A free, structured 11-lesson course to start AI agents the right way. Think of it as turn-by-turn directions for agents, minus the detours and dead ends. Link: https://github.com/microsoft/ai-agents-for-beginners

4. GenAI_Agents

   3 3 23,790 8.1 Jupyter Notebook

   50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

   

   Clear tutorials and implementations of generative AI agent techniques, from basic builds to advanced strategies. You’ll see how different agent strategies are wired up, which makes design choices feel obvious. Link: https://github.com/NirDiamant/GenAI_Agents

5. basics

   4 1 45,551 - Jupyter Notebook

   Discontinued Learn how to design, develop, deploy and iterate on production-grade ML applications. [Moved to: https://github.com/GokuMohandas/Made-With-ML]

   

   One of the best resources for building production-grade ML systems end to end. My pick when you care about real-world systems and operational quality, not just pretty notebooks. Link: https://github.com/madewithml/basics

6. Prompt-Engineering-Guide

   5 101 77,456 8.3 MDX

   🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

   

   A massive collection of guides, papers, notebooks, and resources on prompt engineering. Keep it handy when you want proven patterns and quick references in one place. Link: https://github.com/dair-ai/Prompt-Engineering-Guide

7. awesome-generative-ai-guide

   6 6 28,723 9.1 HTML

   A one stop repository for generative AI research updates, interview resources, notebooks and much more!

   

   A one-stop repo for GenAI research updates, notebooks, interview prep, and more. Great for staying current while practicing with solid reference materials you can trust. Link: https://github.com/aishwaryanr/awesome-generative-ai-guide

8. dmls-book

   7 1 5,176 2.4

   Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

   

   Summaries and references for one of the most important ML systems books out there. It strengthens your systems thinking, which quietly prevents half the headaches before they begin. Link: https://github.com/chiphuyen/dmls-book

9. ML-For-Beginners

   8 34 89,170 9.7 Jupyter Notebook

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

   

   A beginner-friendly ML curriculum with practical examples and exercises you can actually finish. A solid starting point if you’re new to ML and want quick wins. Link: https://github.com/microsoft/ML-For-Beginners

10. llm-course

    9 7 81,553 4.5 Jupyter Notebook

    Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

    

    A hands-on, end-to-end course on building, evaluating, and deploying LLM applications. Ideal when you want a clear path from spark of an idea to deployment. Link: https://github.com/mlabonne/llm-course

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