[Jagerbizzle]

https://course.fast.ai/

"You’ll see that fast.ai’s way of teaching is very different to what you might be used to, if you did a technical degree at university. Nearly all technical subjects at university are taught “bottom up”: start with basic foundations, and gradually work up to complete useful solutions to real world problems. But we go “top down”: start with complete useful solutions to real world problems, and gradually work down to the basic foundations. Education experts recommend this approach for more effective learning."

[jhanschoo]

I don't think this discusses reinforcement learning (not sure about the comment you responded to). To my recollection, the first course goes through basic architectures and concepts, and the second discusses autoenvoders.

[intelkishan]

Yeah, the Fast.ai course does not discuss RL. The first part focuses on DL and the second part focuses on Diffusion based models