
2/28/2026
AI Product Analytics for Product Managers
Learn what to monitor in AI and agentic products, from task success and evals to latency, cost, safety, and how AI is changing product analytics.
Danielle Thé teaches 2 data-related courses on PMC, spanning AI Product Management. This page groups those courses with 2 supporting articles so you can understand how Danielle Thé's teaching overlaps with the wider data 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.

Master AI & data science product management fundamentals for successful project leadership

Master AI & data science product management with real-world applications and industry best practices

2/28/2026
Learn what to monitor in AI and agentic products, from task success and evals to latency, cost, safety, and how AI is changing product analytics.

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 Danielle Thé's perspective on data, 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 data 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.