Executive level education is a tricky tightrope to walk in my opinion - often you’ll hear upon completion “I now know enough to be dangerous!”. Practically, and I mean this in the most endearing way, it translates to “I know enough to be confidently incorrect”.

AI is a wide field. The hot topic is generative AI.

If you really want to learn the depths, I’d start with brushing up on statistics 101 and 201. At least you’ll know how to run controlled experiments to see if these AI work.

For practical, hands-on learning it’s hard to go past either Jeremy Howard’s FastAi courses or Andrew Ng’s deep learning courses. The latter is via Coursera from memory, so you can put a little sticker on your LinkedIn if that’s a factor.

For executive education, I’d point back to my opening quote. Either do the hands-on learning that is rapid or sign up to a 2-year exec Masters program. MIT offer a fantastic, full-course load Exec MBA (that you get a regular MBA diploma at the end, it’s not watered down in accreditation or effort). In doing so, you can specialize heavily in AI/ML and you will be coding in those classes.

I suspect these videos would be higher quality than most offerings from universities or business schools (given that it's a fast moving field, and most of the true experts are practitioners, and so if they're teaching, they're not teaching actual classes, at most they're doing youtube videos or interviews):

- https://www.youtube.com/watch?v=jkrNMKz9pWU (Jeremy Howard Hacker's Guide to LLMs)

- https://www.youtube.com/watch?v=zjkBMFhNj_g (Karpathy Intro to LLMs)