15 experienced PMs built real AI products end-to-end.
The market is full of AI Product Management courses that emphasize theory, buzzwords, and certificates — but few, if any, teach what product managers actually struggle with when launching AI products: uncertainty, data constraints, model evaluation, cross-functional collaboration, and iterative delivery.
We designed a seven-week, end-to-end AI Product Management experience grounded in practice:
Built the curriculum from scratch — strategy, sequencing, modules, exercises, capstone format
Focused on hands-on work that mirrors real product cycles: problem framing → data readiness → model strategy → UX → metrics → iteration
Iterated content weekly based on participant progress and feedback
Outcomes
✔️ Seven weeks of live sessions completed, followed by two weeks of capstone work
✔️ Final presentations with full AI product artifacts: strategies, prototypes, UX flows, and roadmaps
✔️ Participant teams shipped real-world AI product prototypes that:
Participants came from Africa, Europe, and North America, bringing experience across fintech, marketplaces, health, education, logistics, and SaaS — unified by a shared goal: to become fluent in building AI products.
15 product leaders gained hands-on experience in building AI products end-to-end — from problem framing and data readiness to model strategy, AI UX, metrics, and iteration — and left the program able to confidently operate as AI product managers in real-world environments.
I rarely meet people who match my work ethic, but I won’t be exaggerating when I say Ante surpassed it. His passion, dedication, and holistic approach fundamentally shaped our AI Product Management program at Treford.
