We actually found that the hands-on projects were the part of the course that resonated most with our team, maybe it's a matter of who the intended audience is?

I completely agree about the hands-on projects, I've been trying to find ways to incorporate real-world datasets into our corporate training programs, do you have any suggestions?

Which crash‑course lesson felt most bite‑size to you? I found the embeddings part surprisingly dense.

Which specific topic would benefit most from a hands‑on lab? Maybe a Kaggle‑style mini‑project?

I found the interactive classifiers helpful for intuition, but you’re right about needing code. What kind of project would you suggest adding?

I felt the same about the lack of hands-on projects. Did you manage to find any good supplementary resources for that, or did you just build your own projects alongside it?