AI-Engineer-Headquarters

Why we included this project

This is a self-study curriculum more than a piece of software. It walks you through a numbered path from Python and NumPy basics up through machine learning, MLOps, LLMs, RAG systems, fine-tuning, and autonomous agents, with Jupyter notebooks and scripts you can run on your own schedule. The author pairs each topic with video sessions and uses the text as reference notes, so it works for people who block out deep work hours daily and for those who just want to read up on one topic. A tech lead looking to upskill a team or an engineer mapping out their own learning will find the practical, action-first structure worth returning to.