The best free DeepMind AI courses, curated
Google DeepMind and UCL have released some of the best free lecture series in the field — above all David Silver's reinforcement-learning course, still the canonical way most people learn RL. Below are the flagship series, organized from foundations to modern deep RL, all free on YouTube.
These are curated links to publicly available lecture series published by Google DeepMind and UCL, and to David Silver’s own teaching page. All content belongs to its respective authors. AnybodyCanAI is not affiliated with, sponsored by, or endorsed by DeepMind or UCL. The names are used only to identify the source of each course.
Reinforcement Learning Course
David Silver's canonical intro to RL
David Silver · 10 lectures · DeepMind × UCL
Summary
The classic ten-lecture introduction to reinforcement learning: Markov decision processes, dynamic programming, Monte-Carlo and temporal-difference learning, value-function approximation, policy-gradient methods, and integrating learning with planning.
Still the reference course for learning RL. David Silver — who led the AlphaGo project — teaches it with unusual clarity, and the slides (CC-BY-NC) plus full video lectures are free. Start here if you want to understand RL properly.
Schedule
Lecture topics and dates rotate each offering — we link straight to Google DeepMind's official schedule and syllabus so it's always current.
Full schedule & syllabusAccess
All ten lecture slide decks (CC-BY-NC) and the video lectures are linked from David Silver's teaching page; the videos are on YouTube. Free, no signup.
Materials & links
Source: Google DeepMind — all links open on the provider's own site.
Reinforcement Learning Lecture Series 2021
A modern, deep-RL-era RL course
Hado van Hasselt, Diana Borsa, Matteo Hessel · 2021 · 13 lectures · DeepMind × UCL
Summary
A 13-lecture, self-contained tour of reinforcement learning that brings the classic material up to the deep-RL era: exploration and control, model-free prediction and control, function approximation, policy-gradient and actor-critic methods, and planning.
The natural modern companion to David Silver's course, taught by DeepMind research scientists and updated for deep RL. Excellent second pass if you already know the basics and want current techniques.
Schedule
See the course site under Materials for the current schedule.
Access
All 13 lectures are free on YouTube via DeepMind’s official playlist. No signup.
Materials & links
Source: Google DeepMind — all links open on the provider's own site.
Deep Learning Lecture Series 2020
Foundations of deep learning, DeepMind × UCL
Google DeepMind, UCL · 2020 · 12 lectures · DeepMind × UCL
Summary
A twelve-lecture foundations-of-deep-learning series from DeepMind researchers: neural network basics and optimization, convolutional networks for vision, sequences and attention, deep learning for NLP, generative adversarial networks, unsupervised representation learning, and responsible innovation.
A broad, high-quality overview of deep learning taught by the people building it, each lecture by a specialist in that topic. A great survey to complement a hands-on course.
Schedule
See the course site under Materials for the current schedule.
Access
All 12 lectures are free on YouTube via DeepMind’s official playlist. No signup.
Materials & links
Source: Google DeepMind — all links open on the provider's own site.