While waiting for the new course I’d highly recommend checking out @muellerzr’s tutorials instead of Jeremy’s walkthroughs (if you haven’t already considered it). Lots of little things have changed in the library since the first walk throughs were published and @muellerzr’s are more up to date and also provide a lot of examples
Re the book, I’m all for diversity of thought and external sources, but its worth highlighting that Jeremy and Sylvain’s book, “Deep Learning for Coders with fastai and PyTorch” is also available for pre-order and also freely available on github as jupyter notebooks (although as per the license no commercial or broadcast use is allowed). Its also a great way to get more familiar with fastai v2 and learn deep learning from scratch.
Just wanted to highlight the above resources in case you had missed them, good luck with the study group!