10/4/2025
Why Your LLM Product Probably Sucks (And How Evals Will Save You)
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.
AI Evals is no longer a niche topic for product teams. On PMC, this page pulls together 13 courses, 2 relevant articles, and 4 instructors connected to ai evals so you can evaluate the space from multiple angles. Instead of treating the topic as a standalone buzzword, this hub shows how ai evals appears across AI Product Management, General Product Management, and Product Strategy, 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.

Learn to build autonomous AI agents to transform industries and solve problems.
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AI Evals
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Eliminate guesswork in AI products by learning how to design, run, and trust rigorous evaluations.

Turn fuzzy AI quality questions into concrete evals, metrics, and ship decisions that leadership will trust.

Full spectrum of working with Anthropic models using the Claude API
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Google AI Professional Certificate
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Build AI apps and gain practical PM skills

Build AI apps and gain practical PM skills
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IBM RAG and Agentic AI Professional Certificate
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Prompt Engineering
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Retrieval Augmented Generation (RAG)
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Master frameworks to evaluate markets and develop compelling solutions across 12 product themes
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UX Design Fluency
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Learn fundamental UX concepts and research methods for creating user-centered products
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.

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.
Course Instructor
Explore Bill Chambers's ai evals teaching footprint.
Bill Chambers teaches product management courses featured on Product Manager Courses.
Course Instructor
Explore Anthropic's ai evals teaching footprint.
Anthropic teaches product management courses featured on Product Manager Courses.
Course Instructor
Explore Diego Granados's ai evals teaching footprint.
Diego Granados teaches product management courses featured on Product Manager Courses.
Course Instructor
Explore George Zoto's ai evals teaching footprint.
George Zoto teaches product management courses featured on Product Manager Courses.
The strongest ai evals course for you depends on whether you want strategic context, hands-on execution, or a broader PM foundation. Start by checking which courses make ai evals the primary tag, then compare how each provider frames the topic across AI Product Management, General Product Management, and Product Strategy. 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 AI Evals course is a program that teaches product managers how to apply ai evals concepts in their day-to-day work. Depending on the provider, that can include strategy, execution, tooling, workflows, analytics, or cross-functional delivery.
AI Evals 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 ai evals 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.
AI Evals courses stay focused on ai evals as the primary topic, while Model Evaluation 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.