[colmvp]

To preface, I'm currently learning several disciplines in tandem along a route suggested by the link, so kudos to them for putting together a solid list of resources.

Now, from the link: "Few universities offer an education that is on par with what you can find online these days. The people pioneering the field from industry and academia so openly and competently share their knowledge that the best curriculum is an open source one."

On the one hand, it is true there are a ton of resources where the largest cost is the time it takes to go through the learning process. And I'm awestruck that research papers are so openly available and practitioners are so willing to share their knowledge to others both in posting their books as PDFs/HTML files and creating online courses.

On the other hand, how feasible is it for an individual to work on notable AI companies/projects without a Masters or PhD in a related field? Can that gap be crossed merely by becoming fluent in the various disciplines involved in AI, before contributing non-formally academic research/experiments you've conducted on your own?

[Eridrus]

The Google Brain Residency is a cool program for non-academics to get into deep learning research, and you can always get into AI on the applications side, but in both cases you're going to have to really try.