I’ve spent the last year building, breaking, and selling AI agents and honestly, the real learning didn’t come from courses. It came from GitHub. These 10 repos shaped the way I understand AI agents today (and they’ll do the same for you) 🔥👇 1. Hands-On Large Language Models A complete playground of notebooks from LLM fundamentals to fine-tuning like a pro. 🔗 lnkd.in/eFR7xhhR 2. AI Agents for Beginners A friendly 11-part walkthrough that helps you build your very first working agent. 🔗 lnkd.in/e-a2gqSv 3. GenAI Agents If you want to see how real generative agents are built from scratch → this repo is a goldmine. 🔗 lnkd.in/euAyXsnQ 4. Made With ML Production-grade ML lessons that show you how to deploy and iterate like an engineer. 🔗 lnkd.in/euxk2M96 5. Prompt Engineering Guide Every technique, paper, and framework you need to master prompts — all in one place. 🔗 lnkd.in/eeftKQGd 6. Hands-On AI Engineering Code examples + agent architectures you can directly use for your next project. 🔗 lnkd.in/eyFfWu8u 7. Awesome Generative AI Guide A beautifully curated list of tools, concepts, and resources for anyone going deep into GenAI. 🔗 lnkd.in/eYW-JcqP 8. Designing Machine Learning Systems Simple summaries + supplemental resources from the book perfect for system-level thinking. 🔗 lnkd.in/eRvyk62b 9. Machine Learning for Beginners (Microsoft) A free, hands-on intro to ML that even non-engineers can follow. 🔗 lnkd.in/e7S8yDbS 10. LLM Course Roadmaps, notebooks, and practical demos to help you build end-to-end LLM apps. 🔗 lnkd.in/eg9JzpF8 👉 Follow me for more AI related stuffs.
