Agile AI Product Management — From AI Idea to Customer Value with Scrum and Lean
Instructor
David Betzold
Reviews
Course Overview
Learn how to decide whether an AI idea is worth building, test it cheaply, deliver it in an Agile way and release it with care. You work on one AI product idea throughout and finish with a decision-ready AI product plan: value hypothesis, experiment plan, feasibility and risk checklist, AI user stories with acceptance criteria, evaluation approach and release plan.
Level: Intermediate
Who it’s for: Product owners, product managers, Scrum Masters, Agile coaches and delivery managers working on, or supporting, AI-enabled products
Pacing: Self-paced, with a practical exercise in most lessons.
What you’ll learn:
- Start from a customer problem and decide whether AI is the right answer
- Turn ideas into testable hypotheses and small discovery experiments
- Write backlog items and acceptance criteria for AI features whose output varies
- Evaluate output quality and manage product-level risk and responsible use
- Release in stages, measure value and keep learning
What You'll Learn?
- Frame AI opportunities as customer problems
- Validate AI ideas with lean experiments
- Write backlogs and acceptance criteria for AI features
- Evaluate output quality and manage product risk responsibly
- Release in stages and measure the value delivered
- Product managers, product owners and delivery leads working on AI-enabled products
- Basic familiarity with agile or Scrum
- Experience working on a product or service team
- No coding required
