Advanced · AI Product Build
AI Product Build
Thirty days to a shipped, evaluated AI product.
Build an AI product through six phases: foundation, AI PM operating system, build, evaluate, launch readiness, and leadership. The course ends with a fifteen-piece AI portfolio package, a written case study, a recorded product demo, and a two-minute interview story.
$495
See how Product Thirty learning works →
Build the product, not just the AI feature.
Recommended sequence: Run after Product Leadership or alongside Product Leadership Weeks 3–4.
Six-phase structure
Phase 1 · Foundation
Day 1Map the AI PM role landscape
Day 2Diagram an LLM product
Day 3Prompting vs RAG vs fine-tuning
Day 4Workflows vs agents
Day 5Catalogue AI failure modes
Phase 2 · AI PM operating system
Day 6AI-assisted research synthesis
Day 7Interview planning and analysis
Day 8AI product brief workflow
Day 9Analyse product feedback
Day 10AI decision memo
Phase 3 · Build
Day 11Select a real workflow
Day 12Map the current workflow
Day 13Define the AI intervention
Day 14Prototype version one
Day 15Add grounding or tools
Day 16Instrument the experience
Day 17Run realistic scenario tests
Phase 4 · Evaluate
Day 18Build a golden dataset
Day 19Create the evaluation rubric
Day 20Compare approaches
Day 21Red-team the product
Day 22Measure cost and latency
Day 23Iterate from evidence
Phase 5 · Launch readiness
Day 24Design the failure experience
Day 25Create the risk register
Day 26Plan adoption and change
Day 27Build the product scorecard
Phase 6 · Leadership
Day 28Create the AI portfolio view
Day 29Write the case study
Day 30Record the demo and interview story