What Strong Product Managers Do With AI

Most teams use AI to generate “nice-looking” PRDs.
Strong PMs use AI to make better product decisions, control risk, and ship faster.

In this live session, you’ll see exactly how this webinar itself was built using AI — and how to apply the same workflow to your own products.

Details:
10 Feb 2026 (Tue) · 7.30pm

Not a prompt tutorial.

This is a PM workflow session. You’ll learn how to turn AI into production-ready specs, safer product decisions, and measurable outcomes — without relying on prompt tricks

What You Will Walk Away With

By the end of this session, you won’t just “understand AI” — you’ll leave with real PM artifacts:

  • AI Product Risk Checklist
    Know exactly where AI breaks products — and how PMs prevent it.
  • Mini AI Feature Blueprint
    A one-page PM framework covering Problem, JTBD, Metrics, Guardrails, and Flow — built live.






    Hello,
    I’m Mohamed Echout,

    Pluralsight AI Author · NVIDIA Certified Instructor · Global Knowledge Trainer

    I don’t teach AI as complicated theory.

    In this session, I’ll walk you through how AI really shows up in product decisions, team workflows, and real execution challenges.

    You’ll learn how experienced teams avoid costly mistakes — and how to use AI with more clarity and confidence in real product work.

    FAQ

    If you’re starting your PM journey — or already working as a PM — and you want to build real AI product skills (not just surface-level knowledge), this session is made for you. It’s especially useful if you’ve tried using ChatGPT but felt unsure about the output, worried about product risk, or struggled to trust AI in real decisions. If you’re moving into AI products or want to walk away with portfolio-ready artifacts instead of just notes, you’ll feel right at home here.

    We’ll start by analyzing why AI initiatives often succeed in prototypes but fail at production scale. You’ll then learn a structured PM framework that improves decision quality, manages AI risk, and guides execution. We’ll follow this with a live walkthrough of an AI feature blueprint. Finally, you’ll learn how to operationalize this workflow across your own projects and portfolio.

    You’ll leave this session with ready-to-use frameworks — not just ideas.

    AI accelerates execution, but it doesn’t validate direction. Without strong framing and guardrails, AI produces confident output that quietly increases product risk. That’s why PM thinking matters more in the AI era.

    In this session, you’ll learn how to lock the decision, clarify user context, and set guardrails before using AI — turning it into a multiplier instead of a liability.

    The session is organized into four focused chapters designed to move from understanding risk to building real PM artifacts.

    Join Us Now

    Reserve your seat and start building AI products that hold up in real-world use.

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