Pick your track. These are some of the courses I've found useful or seen recommended — there are plenty of others out there. Every one listed below is from a branded provider (Google, Anthropic, OpenAI, NVIDIA, Microsoft, DeepLearning.AI, Coursera, IBM). All free unless marked PAID.
Not sure where to start?
If you're totally new, begin with Andrew Ng's AI for Everyone (Track 01). If you build software, jump straight into Track 03 — the Anthropic + OpenAI prompt engineering courses are the fastest way to become productive. If you lead teams, Track 01's Google GenAI for Leaders is the right starting point.
Executives, directors, and strategists who need to understand AI capabilities, risks, and business value — without the code.
Google's official executive track. Covers business value, risk, governance, and where GenAI actually creates ROI. Certificate on completion.
The canonical non-technical AI course. What AI can and can't do, how to spot projects that will succeed, team structures for AI orgs.
15-minute core concepts plus hands-on lab. Perfect starting point for execs who want to speak the language without the math.
Microsoft's free fundamentals module. Responsible AI principles, Azure OpenAI integration patterns, and enterprise adoption.