How far away is the fast.ai from working on a Mac? PyTorch recently gained support (https://pytorch.org/blog/introducing-accelerated-pytorch-tra...) but that's only the start. Is this something that is being worked on?
Mac support for all the libs used in the course will probably continue to improve in the coming months and there should be no reason you won't be able to run the stuff for the course locally on a Mac at that time. Having said that, even the M2 trains deep learning models much slower than even the free NVIDIA GPUs provided by Kaggle. So you'd only want to use local development for the smallest and simplest models. (The course shows how to train models that are fairly cutting edge and some take a while to train even on modern GPUs, so they wouldn't be a good fit for a Mac.)
There will always be smart individuals and talented small teams that can successfully integrate AI into their products, but it's not thanks to the courses like this.
If you're going to aim at coders, there has to be clear path demostrated from the beginning to the end. From starting up your first notebook on your local dev machine and running training on your local training machine to setting up inference in the final app (.net app or whatever)