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AI for Product Managers

Intermediate 5 hours English Micro-Certification CertificateFREE

About this course

AI for Product Managers covers the skills PMs need to work on AI-powered products: understanding ML system design well enough to scope realistic features, writing effective AI product briefs, evaluating model performance metrics from a product perspective, managing AI experimentation cycles, and addressing bias, fairness, and safety in AI products. It doesn't require engineering knowledge but teaches PMs how to be effective partners with ML engineers.

As AI features become standard in most software products, PM fluency with AI is shifting from a differentiator to a baseline expectation. This micro-cert gives the AI context PMs need without requiring a data science background — focused on decision-making and product intuition rather than technical implementation.

What you'll learn

Scope AI features with realistic expectations for ML system behavior
Write clear product briefs for AI/ML features
Evaluate model performance metrics from a product perspective
Manage AI experimentation and model iteration cycles
Address AI bias, fairness, and safety in product decisions

This course includes

5h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor

I
Instructor
Product School instructor

Taught by Product School instructors who have shipped AI features at companies including Google, Amazon, and Microsoft.

Requirements

  • No technical/ML background required — familiarity with product management helpful

Who this course is for

  • PMs who work with ML teams or are scoping AI-powered features
  • Aspiring PMs targeting AI-first product companies
  • Product professionals who want to speak fluently with data scientists

About this provider

PS
Product School
The leading product management education company, known for practitioner-led PM certifications and free foundational courses.
Visit Product School

Frequently asked questions

No — it's designed for PMs without technical backgrounds. The focus is on product decision-making and collaboration with ML engineers, not implementation.
Increasingly yes — many companies now specifically hire AI PMs or require AI fluency for all PM roles as AI features proliferate.
Free
to audit
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