Browse Courses

Physical AI & Vision-Language Models

From vision backbones to embodied agents — how language and perception fuse into systems that act in the physical world.

Generative Models

VAEs, diffusion models, and flow matching from first principles. Build systems that synthesize images, audio, and structured data.

Robot Learning

Imitation learning, behaviour cloning, and sim-to-real transfer. Build controllers that learn from demonstration and adapt to reality.

Reinforcement Learning

Policy gradient, Q-learning, and actor-critic methods built from the Bellman equation up. Train agents in MuJoCo and Atari.