AI Product Management Bootcamp

Yes. Upon completing this course and the hands-on capstone project, you will be a Certified AI Product Innovator (CAIPI) by Spark Engine - an industry recognized certification by many recruiters.

This course is built around doing, not listening to endless presentations. Each live session introduces a workflow, and every session is followed by a practical individual assignment. You’ll run AI-assisted discovery, synthesis, prototyping, and decision-making. Not just watch demos.

You’ll finish with a full set of artifacts: synthetic users, discovery outputs, prioritized list of features, an AI-driven PRD, a prototype/MVP, and a decision recommendation - plus repeatable workflows for using AI across the PDLC in your own job.

You'll know how to use AI tools and where it makes sense. You will be able to create AI Agents.

Each session is recorded on Zoom and you will have access to the recordings.

Also, this course is designed in cohorts, so you will get the support of your peers to catch up on anything you may have missed.

Finally, you request a 1-on-1 call with the instructor to review materials or catch up on anything you may have missed.

Each week, we'll meet twice, 120 minutes in each session. These sessions are scheduled to minimize conflicts with both work and personal life. They are also recorded.

In addition, you will have hands-on practice and assignments to complete. Usually these take a couple of additional hours and can be done in the evening or after work.

You can apply the prompts and techniques to your real product, or you can practice with a simulated product idea offered in the course. The goal is to practice AI-augmented PM workflows and build the experience you can directly reuse on your own products.

Interaction is structured around assignments. After each assignment, there’s a focused discussion where you review peers’ work and compare decisions. Seeing how others framed the same problem differently is a core part of the learning.

You’ll use real AI tools (ChatGPT, Claude Cowork/Code, Lovable, Replit, ProductQuest, NotebookLM), but the course isn’t tool-specific. It focuses on workflows, prompts, and judgment that transfer across different tools. The emphasis is on how to do the PM work better with AI tools at each phase of the PDLC, and how to work with AI responsibly.