To address what you and tgflynn are saying. Machine learning != robotics. Robotics is mostly probabilistic inference &#x2F; search, control theory, etc. The Sebastian Thrun course actually looks great - for robotics. Even computer vision is <i>mostly</i> not related to machine learning. And when machine learning is used, it has usually been simpler, faster &quot;dumber&quot; algorithms.<p>Deep learning has only recently made advances in computer vision and robotics - it&#x27;s still definitely an open area of research. Even in production it&#x27;s only going to be a component of a larger system. I would bet the vast majority of the work in Google&#x27;s self-driving car is related to probabilistic inference &#x2F; mapping &#x2F; search &#x2F; feature-engineering, and mostly does <i>not</i> involve machine learning.