That's a great point - but I would like to add that the expectation is that people put in at least 10 hours a week. So the amount of material is designed to be what you can learn in 10 hours of study, with the support of the wiki and forums.

The lessons are not designed to stand alone, or to be watched just once straight through.

The details around setting up an effective environment are a key part of the course, not a diversion. We really want to show all the pieces of the applied deep learning puzzle.

In a more standard MOOC setting this would have been many more lessons , each one much shorter - but we felt the upside of having the live experience with people asking questions was worth the compromise.

I hope you stick with it and if you do I'd be interested to here if you still feel the same way at the end. We're doing another course next year so feedback is important. On the whole most our in-person students ended up liking the approach, although most found it more intensive than they expected. (We did regular anonymous surveys. )