Definitely well beyond the course. It's designed to be the easiest way to create world-class models. I'll be providing a lot more information on how we're doing this in the next week or two.
PS: The focus of fastai is training, not production. The models you end up with are largely standard pytorch models, so standard pytorch approaches to production work fine. For most people, a simple flask endpoint with CPU inference is generally the best approach for this (e.g. all the deep learning web apps at http://allenai.org/ use this approach AFAIK.)
Re:Practical Deep Learning for Coders 2018
by rishaanpatel on Monday January 29, 2018 @02:43PM
(#16260080)
Do you envision people using the fast.ai library without ever taking the course?
I do, but at the moment the course is the documentation, on the whole - so it won't really be standalone until we're written proper docs! (There's basic docstrings for most functions, but they don't tell you how it all fits together.)
Also, any chance of https on the forum?