INTERMEDIATE
Learn to define, evaluate, and ship AI-powered products — from LLM fundamentals and prompt engineering to responsible AI and autonomous agents.
Build the technical vocabulary every AI PM needs — machine learning concepts, LLM capabilities and limits, the AI product stack, and the build vs buy decision.
Translate business problems into solvable AI tasks, conduct user research that surfaces trust and error-tolerance needs, and write AI feature specs that include eval criteria.
Choose the right evaluation metrics, run prompt engineering iterations, build eval sets and guardrails, and navigate the unique challenges of A/B testing AI features.
Apply AI safety principles to product decisions, detect and mitigate bias, design appropriate transparency mechanisms, and navigate the emerging AI regulatory landscape.
Work effectively with ML engineers and data scientists, navigate the cost-latency tradeoffs of model selection, and launch and iterate on AI features safely.
