Because not everything worth discussing fits on a slide.

Learning AI on your own is a respectable goal, and plenty of people pull off more than you'd expect. But there's a difference between possible and advisable, and most of that difference shows up in time, false starts, and the expensive lessons nobody warns you about.

This session is an honest look at what you can reasonably teach yourself, where the DIY path quietly costs more than it saves, and when bringing in people who've already made the mistakes is the faster route.