10 GitHub repositories that will teach you more practical AI engineering than most paid courses.
1. Hands-On Large Language Models
Complete code from the book, with notebooks covering LLM basics, training, and fine-tuning.
👉 https://t.co/vOaLqPDp99
2. AI Agents for Beginners (Microsoft)
A free, structured 11-lesson course to get started with AI agents the right way.
👉 https://t.co/2b2WktBvnr
3. GenAI Agents
Clear tutorials and implementations of generative AI agent techniques, from basic to advanced.
👉 https://t.co/GeoXexJQff
4. Made With ML
One of the best resources for building production-grade ML systems end to end.
👉 https://t.co/X1onmkUV3A
5. Prompt Engineering Guide
A massive collection of guides, papers, notebooks, and resources on prompt engineering.
👉 https://t.co/fxuI566Njy
6. Hands-On AI Engineering
Curated examples of AI-powered applications and agentic systems using LLMs.
👉 https://t.co/ft6ODna8iz
7. Awesome Generative AI Guide
A one-stop repo for GenAI research updates, notebooks, interview prep, and more.
👉 https://t.co/nnDwR5VSja
8. Designing Machine Learning Systems (Resources)
Summaries and references for one of the most important ML systems books out there.
👉 https://t.co/tqQKWZkN6h
9. Machine Learning for Beginners (Microsoft)
Beginner-friendly ML curriculum with practical examples and exercises.
👉 https://t.co/TJYVur1D5I
10. LLM Course
A hands-on, end-to-end course on building, evaluating, and deploying LLM applications.
👉 https://t.co/XnFRMBIAQ7
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@davefarley77 Greatest benefit is that i can refactor the code along with the tests. No need to spend time just for refactoring and making it well structured.