Under the root of the repo, in directory fastai/courses/ you will find plenty of example notebooks.
If you are interested in deep learning and have a GPU you can use (or willing to set up something in the cloud) I would recommend starting with watching the lectures here If you are more interested in ML, you could go this route.
Being able to read and write code is super helpful but there are quite advanced things happening in the notebooks and the context in the recorded lectures can be of immense value - regardless what you coding / ML background is, I would start with the videos.