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Coursera

From Product Manager to AI Product Manager

LearnKartS via Coursera

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Overview

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AI is redefining product management by changing how decisions are made, workflows are designed, and products evolve. This AI product management course shows how models, context, orchestration, governance & human judgment come together in AI-native product work. You’ll start by learning how AI changes product management, how LLMs and foundation models work, and how to evaluate models for different product needs. Next, you’ll explore product context, the AI-Native Product OS, MCPs, connected tools, reusable commands, and AI workflows. You’ll see how user signals, functional evals, feedback loops, guardrails, monitoring, governance, and AI product risk influence product decisions. Finally, the course focuses on the human layer of AI product management: vision, empathy, taste, communication, and judgment. It covers outcome ownership, visible proof of AI product skills, portfolio and interview prep & a 90-day AI Product Manager roadmap with AI Coach. What sets this course apart is its structured AI-native approach, reinforced through demos, practice, scenario-based assessments, resources & AI Coach activities. Enroll now and lead the next generation of AI products.

Syllabus

  • Becoming an AI Product Manager: From Traditional PM to AI-Native Product Work
    • This module covers the transition from traditional product management to AI-native product work, exploring the AI product loop, five-layer stack, probabilistic AI, and the evolving role of the AI Product Manager while helping learners set up their AI Product Manager toolkit.
  • AI Product Manager Foundations: Understanding AI Models
    • This module covers essential AI model concepts, including LLMs, foundation models, model capabilities, and the changing AI landscape, while exploring how Product Managers can select the right AI model and adapt as models evolve.
  • AI Product Manager Context: Building the Right Context for AI
    • This module covers the importance of context in AI product work, exploring AI product workspaces, Product OS, context files, and the limitations of generic AI outputs while providing hands-on practice in building a strong product context system.
  • AI Product Manager Context: Connecting Tools, Design, and Live Product Data
    • This module covers how AI Product Managers connect tools, design information, MCPs, codebases, and live product data, while exploring safe tool connections and ways to refine, publish, and reuse AI-generated product artifacts.
  • AI Product Manager Workflows: Building Reusable Commands and Context
    • This module covers reusable AI commands and workflows, exploring stakeholder feedback simulation, continuous workflow improvement, and how product context becomes more valuable over time through learning and iteration.
  • AI Product Manager Orchestration: Turning AI into Product Workflows
    • This module covers AI product orchestration, exploring user signals, AI product experiences, functional evaluations, feedback loops, and continuous improvement while bringing these elements together into an end-to-end AI product-building workflow.
  • AI Product Manager Governance: Building Safe and Reliable AI Products
    • This module covers AI product governance, including evaluations, guardrails, monitoring, risk management, trust, cost, and defensibility, while examining real-world challenges and how Product Managers can build safer and more reliable AI products.
  • AI Product Manager Skills: Leading Where AI Cannot
    • This module covers the human skills essential to AI Product Management, including vision, empathy, taste, communication, and judgment, while exploring outcome ownership, skill development, portfolio building, and preparation for AI Product Manager careers.
  • AI Product Manager in Practice: Collaborating with Design and Engineering
    • This module covers practical collaboration between Product, Design, and Engineering teams, exploring AI product planning, user context, trade-offs, prototyping, engineering handoffs, design critique, and iterative improvement of AI product experiences.
  • Course Wrap-Up & Building Your Next Skills
    • This module covers the final stage of the AI Product Manager journey, including a proficiency quiz, bonus content, course completion, and reflection on how learners can continue developing and applying their AI Product Management skills.

Taught by

Ramin Hoodeh and LearnKartS

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