1Understand it firstNo code, no math
Elements of AI
University of Helsinki·Free — certificate included
A plain-language foundation: what AI is, how machine learning works, where it fits, and where it doesn't.
Louis's take
Start here even if you think you're past it. It builds the mental model everything else sits on — and it's the one course on this list that hands you a free certificate at the end.
2Go deeperHarvard — free
The Science and Implications of Generative AI
Harvard Kennedy School·Free (Spring 2024)
Eleven sessions on how generative models actually work — prompt engineering, system prompts, RAG — plus what it all means for work, policy, and society.
Louis's take
This is from Spring 2024, so a couple of examples have aged. Ignore that. The fundamentals it teaches haven't changed, and understanding the machine underneath the hype is what separates people who use AI from people who get used by it.
3Learn to actually use itPractical
Google AI Essentials + AI for Everyone
Google · Andrew Ng (DeepLearning.AI)·Free to take
Two short, hands-on courses built for people who don't write code. Prompting, real workflows, and how AI actually lands inside an organization.
Louis's take
Now you make it useful. Do these while you're using the tools day to day — the point is fluency, not theory.
4Then, if you want to buildBuild it
CS50's Introduction to AI with Python
Harvard University·Free to audit
Search, optimization, machine learning, neural networks — implemented in your own Python programs.
Louis's take
Only if you want to build. It's a real commitment. New to Python? Start with CS50x first, then come back.