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AI is huge, but this one I think is about Reinforcement Learning. Udacity has a nice paced course that's possible to complete in 2-3 months without mental overload. It's focused on Reinforcement Learning problem definition, Dynamic Programming and hands on with foundational algorithms such as DQN, PPO, SAC and Monte-Carlo Tree Search.

Auto-encoders, Transformers and Recurrent models don't pop up much in RL except for advanced topics and cutting-edge research.




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