If you're a complete beginner and you're okay with a specific domain, I highly recommend the UMich Deep learning for Computer Vision by Justin Johnson.This is an excellent introductory course since it assumes no prior knowledge but most importantly Justin does an excellent job at providing solid foundational intuitions for deep learning (he taught CS231 with Karpathy). If you don't like Computer Vision, I still recommend the first 6-7 lectures.

I'll always recommend Andrew Ng's course for some broad basics alongside it as well. After that, you can jump into NYU's DL course by Yann and Alfredo. Imo Yann provides some of the best and most concise abstractions for some very complex concepts. If you're a beginner, some of it might go over your head. But once you have some general sense for the lay of the land and hands on experience, his abstractions are profound.