[bitL]

I'd say it's for intermediate level. Let's say you have already finished 1-year long Udacity self-driving car nanodegree and reached intermediate level, then these lectures will be understandable to you. If you are total beginner you are going to be lost, but if you are an MIT newbie, you might be fine with some work in your spare time. To understand some subjects like Deep Reinforcement Learning you might need some related graduate-level coursework under your belt. It's not bleeding edge though, so researchers might think the lectures are trivial.