
2/28/2026
AI in Product Discovery: What Changes, What Doesn’t
Learn how to use AI in product discovery without losing the customer signal. A practical guide for PMs using AI for research, synthesis, and prioritization.
Phil Carter teaches 1 experimentation-related course on PMC, spanning Product Strategy. This page groups those courses with 4 supporting articles so you can understand how Phil Carter's teaching overlaps with the wider experimentation conversation. If you are already familiar with the instructor and want their perspective on a specific topic, this cluster is the most direct route. If you are topic-first, it also helps you compare how one instructor's angle differs from the broader market.

2/28/2026
Learn how to use AI in product discovery without losing the customer signal. A practical guide for PMs using AI for research, synthesis, and prioritization.
10/4/2025
Most PM teams ship AI features without systematic testing. Learn how to build lightweight eval systems that keep quality high without needing an ML background.

11/23/2024
Why pay thousands for a bootcamp? We've curated the best free product management courses and certifications that actually move the needle for your career.

1/28/2024
Discover when to trust experience vs. when to invest in formal learning - a data-backed guide for PMs at every career stage who want to optimize their learning journey.
This page isolates Phil Carter's perspective on experimentation, which is useful when you already trust the instructor or want to compare one teaching style against the broader market.
Usually not. Most instructors teach experimentation alongside adjacent topics and categories, which is why the linked category and article sections are helpful for context.
Use it to review the instructor's relevant courses first, then branch out to the broader tag page and related category clusters if you want a wider comparison set.