Self-Learning Resources
A list of resources I've found useful for learning Deep Learning, Reinforcement Learning, and Robotics.
Deep/Reinforcement Learning Courses
I see these two courses as a must. Sergey is someone who shaped the modern Deep RL and learning it
from his intuition was very useful.
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Berkeley CS 182: Deep Learning (by Sergey Levine):
YouTube Playlist -
Berkeley CS 285: Deep RL (by Sergey Levine):
YouTube Playlist
Diffusion for Generative Modelling
I went trough the 2025 course. Very nice theoretical introduction to diffusion and flow matching
models.
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MIT Diffusion course 2025:
Course Website -
MIT Diffusion course 2026:
Course Website
Robotics
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RSS 2024 Tutorial: Supervised Policy Learning for Real Robots:
YouTube Video -
Nice summary of some problems in Robot Learning (Dec 2025):
Article by Kyle Vedder
RoboPapers is useful to hear the motivations and thoughts from the authors:
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RoboPapers:
YouTube Channel
Practical courses
Mostly one to few-hour courses. Use it to try some field.
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DeepLearning.AI:
DeepLearning.AI Courses -
Nvidia DLI self-paced courses:
Training Catalog -
Hugging Face Learn:
Hugging Face Learn -
Karpathy LLM Zero to Hero:
YouTube Playlist
Last updated: Feb 1, 2026