I always felt it was the other way around - using MOOCs or online tutorials makes applying machine learning to business problems in practice a whole lot easier. But in terms of inventing new algorithms, deeply understanding the theory and origin of things, and doing active ML/AI research, that still seems to be in the realm of requiring a PhD (i.e. the difference between a "data scientist" and an ML/AI researcher).