When the number of hours are limited, it's best to skip it entirely, and just provide a solid paper tutorial.

Uh, you know its Harvard we're talking about right?

It's almost a waste of time teaching people to setup a deep learning stack.

NVidia will break everything you do with every release and any instructions you write will be outdated in weeks.

For example, the TensorFlow/CUDA/CuDNN installation changes continually because you can't install the default releases of any of them and get a working system.

I do understand the dilemma. I work at a K-12 and the office next to mine is where they put together the science lab kits for students. It takes a fair bit of understanding to do that correctly sometimes, and that preparation work is some knowledge the students seem to miss out on in order to get to the subject matter. My coworker has mentioned on more than one occasion that with certain modules it feels like she does most of the work and the students just do the final step.

It is true that we had to deal with some issues that might not have occurred had students gone through the process of setting up the environment themselves, like have to rebuild the machine of the student who uninstalled Cuda.