Past Courses

Curricula from courses we have run in the past.

• Computer Vision Fellowship: The Computer Vision track of our Intro Fellowship. Alongside the AI safety readings, participants train a neural network completely from scratch and then use PyTorch to create and train one.
• Diffusion Fellowship: The Diffusion track of our Intro Fellowship. Alongside the AI safety readings, participants work from autoencoders and VAEs up to diffusion models, finishing with the DDPM notebook.
• Reinforcement Learning Fellowship: The Reinforcement Learning track of our Intro Fellowship. Alongside the AI safety readings, participants implement policy gradients, work through a Connect4 project, and finish with PPO.
• Transformers Fellowship: The Transformers track of our Intro Fellowship. Alongside the AI safety readings, participants build up from the bigram model through positional encoding and attention to Transformers and GPT-2 from scratch.
• CUDA Track: An 8-week upskilling track, from an intro to GPUs and writing your first kernel to putting it all together in Flash Attention.