Learn how to think, code, and experiment like engineers at OpenAI, DeepMind, and Anthropic.
Many directions, unified fundamentals
Try these high-signal introductory lessons to see if our research methodology fits your learning style.
Building PyTorch
Build the foundation of an autograd engine from scratch.
Transformers
Deep dive into why attention changed the AI world forever.
Reinforcement Learning
Learn how machines interact and learn from trial and error.
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Full module access, future updates, and community access.
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Aspiring AI researchers who want to join OpenAI, DeepMind & other top labs, engineers looking to move into research labs, and curious builders who want to understand LLMs and Diffusion from the ground up.
We focus on the methodology of research: how to read papers, how to formulate hypotheses, and how to run efficient experiments. This is the foundation for publishing.
Basic Python is helpful, but we cover the mathematics and PyTorch fundamentals from scratch.