eAI
ePowerAI · Course Catalogue

Build robots that see, think& move.

Each module pairs a short concept with a hands-on build, so the theory sticks. From first principles to deployed autonomy.

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4 courses56 lessons~14h of materialin-browser python
Suggested learning path
01Reinforcement Learning14 lessons02Robot Learning14 lessons03Physical AI14 lessons04Generative Models14 lessons
Course 03Advanced · 14w
Physical AI & Vision-Language Models
From vision backbones to embodied agents — how language and perception fuse into systems that act in the physical world.
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Course 04Advanced · 14w
Generative Models
VAEs, diffusion models, and flow matching from first principles. Build systems that synthesize images, audio, and structured data.
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Course 02Intermediate · 14w
Robot Learning
Imitation learning, behaviour cloning, and sim-to-real transfer. Build controllers that learn from demonstration and adapt to reality.
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Course 01Intermediate · 14w
Reinforcement Learning
Policy gradient, Q-learning, and actor-critic methods built from the Bellman equation up. Train agents in MuJoCo and Atari.
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