🧭 Start Here

Phase 0 is a half-week orientation. You will learn how this path is organized and why the order matters, how to study so the material actually sticks (active recall, spaced repetition, projects first), the vocabulary and the big map of the field — from classical machine learning through deep learning to generative models and agents — and you will set up a working lab: Python, PyTorch, a notebook environment, a free GPU, a Hugging Face account and API access to a frontier model. Nothing here is hard, but skipping it is the most common reason people stall in Phase 1 or burn out in Phase 4. Budget three or four hours, do the setup exercises for real, and come back to lesson 0.1 whenever your study routine drifts.