Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off

One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.

Artificial intelligence is changing how product teams plan roadmaps, evaluate customer needs, and improve product decisions across business environments. Organizations are increasingly using AI-powered tools to accelerate research, improve analysis, and strengthen product planning workflows. This Product Management with AI course is designed for product managers, founders, business professionals, and learners seeking practical knowledge of AI in product environments. Learners will explore how AI technologies support user research, product analytics, roadmap planning, and customer insight generation without requiring advanced technical expertise. The course focuses on implementation-oriented product management applications and modern business workflows. You’ll examine how AI tools support feature prioritization, market evaluation, product optimization, and strategic analysis. Through practical scenarios, learners will explore how AI supports product discovery, analytics interpretation, workflow efficiency, and faster research processes. You’ll also learn how professionals evaluate AI opportunities, improve planning accuracy, and support responsible AI use across product environments. In addition, the course introduces foundational concepts around AI governance, ethical AI adoption, and implementation approaches used within modern product teams. By the end of the course, you’ll be able to identify AI opportunities in product management, improve roadmap prioritization, accelerate product research workflows, strengthen customer insight generation, and apply AI-supported approaches to improve strategic decision-making. Enroll in this AI product management course to build practical product strategy skills and support modern product operations with greater confidence.

Syllabus

Module 1: Introduction to AI for Product Managers

This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.

Module 2: Fundamentals of Machine Learning
Module 3: AI Product Development Lifecycle
Module 4: AI Ethics and Bias
Module 5: AI Implementation Strategies
Module 6: AI Metrics and Performance Evaluation
Module 7: AI Regulation and Compliance
Module 8: Future Trends in AI and Product Management