How can I transition into an AI Product Manager role if I don't have prior AI or ML experience?

Given AI's long-term strategic impact, I believe foundational knowledge of AI is essential for any PM aiming to drive sustained product success. I focus on three core learning themes for preparation:

1. Learning ML Concepts (via focused online courses/certifications): You'll need to learn the basic science behind AI. This means understanding core Machine Learning concepts - what a model is, how it 'learns' from data (training), and the difference between giving it labeled examples versus letting it find patterns on its own. You don't need to code it, but you must know how it works to define what's possible.
2. Practically Driving Business Value with AI (via identifying side projects, Capstone or even opportunities at your current company): Focus on how AI can deliver real business results. This means identifying opportunities where AI can directly increase efficiency, reduce operational costs, or significantly enhance the speed and quality of the user experience beyond what standard software can do.
3. Designing for Uncertainty (via focused online material): You must learn to design for failure. Traditional software either works or crashes, but AI is always 'sort of right.' The PM's job is to design the product experience to manage user expectations, clearly communicate when the AI might be wrong, and build reliable backup plans (like a human review) to maintain user trust.

Trying to advocate for yourself on internal projects or build your own projects externally in your own time.

If you decide to build your own projects make sure that they are tied to your discipline. Build an AI agent to make a grocery list is not going to be much use in your interviews unless you are able to tie it back to business impact connected to your discipline.

So whatever you build, make it worth it your time.