Beyond Evals: Designing Improvement Flywheels for AI Products

This AI product management training focuses on designing continuous improvement systems for AI-enabled products beyond one-time evaluations. The course develops capability in connecting product feedback loops, evaluation signals, experimentation, and operational workflows into repeatable improvement cycles with measurable outcomes. It applies in real product work involving model iteration, user feedback analysis, roadmap planning, and cross-functional coordination between product, engineering, and operations teams. Best suited for PMs, AI product leaders, and technical operators who want practical frameworks for sustaining AI product quality and operational learning over time.