Teaching


Quick Picks (most recent offering of each course)


CS188 Artificial Intelligence (with Anca Dragan)
CS294-190 Advanced Topics in Learning and Decision Making (with Stuart Russell)
CS294-194 Research to Start-up (with Ali Ghodsi, Ion Stoica, Sergey Karayev, Andy Kowinski, Andrew Krioukov)
EWMBA267-11 The Business of AI (with Zsolt Katona, Matthew Stepka)
CS294-158 Deep Unsupervised Learning (Spring 2020) with Aravind Srinivas, Alex Li, Wilson Yan
CS 287 Advanced Robotics (Fall 2019) with Ignasi Clavera, Laura Smith, Huazhe Xu
Deep RL Bootcamp: Lectures and Labs (August 2017)
Full Stack Deep Learning Bootcamp (2020) with Josh Tobin and Sergey Karayev
All instructional materials for our undergrad Artificial Intelligence course (CS188) are available at ai.berkeley.edu.


Berkeley


Future

TBD

Past
Spring 2022: CS294-194 Research to Start-up (with Ali Ghodsi, Ion Stoica, Sergey Karayev, Andy Kowinski, Andrew Krioukov)
Spring 2022: EWMBA267-11 The Business of AI (with Zsolt Katona, Matthew Stepka)
Fall 2021: CS188 Artificial Intelligence (with Anca Dragan)
Fall 2021: CS294-190 Advanced Topics in Learning and Decision Making (with Stuart Russell)
Spring 2021: EWMBA267-11 The Business of AI (with Zsolt Katona and Matthew Stepka)
Spring 2021: CS194-80 Full Stack Deep Learning (with Sergey Karayev and Josh Tobin)
Fall 2020: CS298-015 BAIR First-Year Pro-Seminar (with Ken Goldberg)
Spring 2020: EWMBA267-11 The Business of AI (with Zsolt Katona and Matthew Stepka)
Spring 2020: CS294-158 Deep Unsupervised Learning (with Aravind Srinivas, Alex Li, Wilson Yan)
Fall 2019: CS 287 Advanced Robotics (with Ignasi Clavera, Laura Smith, Huazhe Xu)
Spring 2019: CS294-158 Deep Unsupervised Learning (with Peter Chen, Jonathan Ho, Aravind Srinivas)
Fall 2018: CS 188 Artificial Intelligence (with Dan Klein)
Spring 2016: CS 188 Artificial Intelligence (with Anca Dragan)
Fall 2015: CS 287 Advanced Robotics
Fall 2015: CS 294-112 Deep Reinforcement Learning headed up by John Schulman
Spring 2015: CS188 Introduction to Artificial Intelligence
Spring 2014: CS 188 Introduction to Artificial Intelligence
Fall 2013: CS 188 Introduction to Artificial Intelligence (with Dan Klein)
Fall 2013: CS 287 Advanced Robotics
Spring 2013: CS 188 Introduction to Artificial Intelligence
Fall 2012: CS 188 Introduction to Artificial Intelligence (with Dan Klein)
Fall 2012: CS 287 Advanced Robotics
Spring 2012: CS 188 Introduction to Artificial Intelligence
Fall 2011: CS 287 Advanced Robotics
Spring 2011: CS 188 Introduction to Artificial Intelligence
Spring 2011: EE 20 Structure and Interpretation of Signals and Systems
Spring 2010: CS 188 Introduction to Artificial Intelligence
Fall 2009: CS 287 Advanced Robotics
Spring 2009: CS 194-10 Advanced Topics in Artificial Intelligence (with Dan Klein and Jitendra Malik)
Fall 2008: CS 294-40 Learning for Robotics and Control


MOOCs



These are online adaptions of UC Berkeley's CS188, free for everyone! (Taught jointly with Prof. Dan Klein)

The latest archived version is available for self-study here.

Spring 2015: CS188.1x Introduction to Artificial Intelligence on EdX
Spring 2013: CS188.1x Introduction to Artificial Intelligence on EdX
Fall 2012: CS188.1x Introduction to Artificial Intelligence on EdX



Materials for Instructors



All our instructional materials for CS188 Artificial Intelligence are available at ai.berkeley.edu.