
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.
Product Analytics is no longer a niche topic for product teams. On PMC, this page pulls together 23 courses, 2 relevant articles, and 4 instructors connected to product analytics so you can evaluate the space from multiple angles. Instead of treating the topic as a standalone buzzword, this hub shows how product analytics appears across Product Analytics, Product Leadership, and Growth, where it is positioned as a primary learning goal, and which instructors and providers are most active around it. Use the courses below to compare structured learning options, then branch into the linked editorial pieces and instructor pages to understand how the theme shows up in practice.

Master analytics to make data-driven decisions

Design better A/B tests to minimize insignificant results

Master business intelligence analytics with Power BI

Learn critical skills to analyze customer data and derive actionable product insights

Develop Power BI skills for data visualization and analysis

Unlock potential with repeating, data-informed system

Gain expertise in data-driven product management

Apply data analysis skills to create compelling product proposals through real-world cases

Learn storytelling and dashboard design with Tableau

Learn to build effective digital products with modern tools and metrics.

Create strategic experimentation system for breakthrough ideas


Learn to measure and drive product quality and business impact through data

Improve storytelling and action by measuring product success in a customer-focused way.

Master user behavior product analytics playbook

Master data-driven product decisions with comprehensive analytics training



Transform product data into actionable insights - master metrics, segmentation, and A/B testing

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AI Analytics for Builders
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Beyond Evals: Designing Improvement Flywheels for AI Products
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Claude Code Analytics Bootcamp
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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.
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.
Course Instructor
Explore Udacity's product analytics teaching footprint.
Udacity teaches product management courses featured on Product Manager Courses.
Course Instructor
Explore Crystal Widjaja's product analytics teaching footprint.
Crystal Widjaja teaches product management courses featured on Product Manager Courses.
Course Instructor
Explore Ali Baghshomali's product analytics teaching footprint.
Ali Baghshomali teaches product management courses featured on Product Manager Courses.
Course Instructor
Explore Elena Verna's product analytics teaching footprint.
Elena Verna teaches product management courses featured on Product Manager Courses.
The strongest product analytics course for you depends on whether you want strategic context, hands-on execution, or a broader PM foundation. Start by checking which courses make product analytics the primary tag, then compare how each provider frames the topic across Product Analytics, Product Leadership, and Growth. If you are still exploring, choose an all-level or foundation-style option first. If you already work with the topic, prioritize courses that go deeper into workflows, evaluation, analytics, or implementation tradeoffs.
A Product Analytics course is a program that teaches product managers how to apply product analytics concepts in their day-to-day work. Depending on the provider, that can include strategy, execution, tooling, workflows, analytics, or cross-functional delivery.
Product Analytics courses are useful for product managers, PM leaders, growth practitioners, and adjacent operators who want to strengthen this skill area in a structured way. They are especially helpful when you need a faster path from theory to practical application.
Many product analytics courses are accessible to beginners, but the right fit depends on the provider, format, and level. Use the level and provider filters in the directory to narrow down options that match your starting point.
Product Analytics courses stay focused on product analytics as the primary topic, while Data courses usually frame the problem from a neighboring angle. Comparing both can help you decide whether you need deep specialization or a broader adjacent skill set.