Workshop

Build your Agentic AI PM Team

Priyanka Shetty

AI Product Leader & Builder

This course is popular

4 people enrolled last week.

Build Your AI Agentic PM Team

AI can write your PRD, summarize research, analyze customer feedback, and generate ideas. But isolated prompts are not the real opportunity.

The bigger shift is learning how to design specialized AI agents that work together across a product workflow—while you retain ownership of the decisions that require product judgment.

In this 3.5-hour hands-on workshop, you’ll diagnose a real product-management failure mode, architect and build one AI PM agent end to end, and connect it with two ready-to-customize specialist agents.

Along the way, you’ll define each agent’s role, goal, inputs, reasoning steps, outputs, evaluation criteria, and handoffs. You’ll also learn where human review belongs and how to prevent a multi-agent workflow from becoming an impressive but unreliable demo.

You won’t just learn about agentic AI. You’ll leave with a working three-agent PM team scaffold that you can adapt to your own workflow.

What you’ll learn

Build one AI PM agent end to end, connect it with two specialized agent scaffolds, and leave with a reusable three-agent product workflow.

  • Identify strategic drift, context debt, and alignment tax in a real product workflow.

  • Distinguish a suitable agent use case from a task that only needs a prompt or simple automation.

  • Define where AI should act independently and where product judgment must remain human-led.

  • Define the agent’s role, goal, context, inputs, reasoning process, tools, constraints, and output.

  • Build against realistic PM documentation rather than a polished demonstration dataset.

  • Create an agent that produces a structured, decision-ready product output.

  • Customize two provided specialist-agent scaffolds for different PM responsibilities.

  • Define how the three agents exchange context and hand work to one another.

  • Add human approval points so the system supports—not replaces—PM judgment.

  • Evaluate outputs for accuracy, usefulness, traceability, and unsupported assumptions.

  • Diagnose whether a failure comes from the instructions, context, workflow, or model.

  • Leave with a reusable three-agent scaffold that you can adapt for work, interviews, or your portfolio.

Workshop agenda

  • Diagnose the PM Workflow

    Identify strategic drift, context debt, and alignment tax. Choose a product workflow worth making agentic and define where human judgment must remain.

  • Architect and Build Your First Agent

    Build one AI PM agent end to end. Define its role, goal, context, inputs, reasoning steps, guardrails, evaluation criteria, and structured output.

  • Assemble Your Agentic AI PM Team

    Customize two specialist-agent scaffolds and connect all three agents. Design their responsibilities, handoffs, shared context, and human approval points.

  • Test, Improve, and Keep Building

    Run your agent team against realistic PM evidence, diagnose weak outputs, improve the workflow, and create a plan for your next agentic use case.

Learn directly from Priyanka

Priyanka Shetty

Priyanka Shetty

Contact

AI Product Leader (Oracle, S&P Global, Weill Cornell) | AI Strategist & Founder

Oracle
S&P Global
Weill Cornell Medicine
See all products from Pri

Who this workshop is for

  • Individual Contributor PMs building AI features
    Own AI initiatives but can't yet evaluate architecture, want hands-on build skills.

  • PMs targeting AI-native roles
    Job specs now expect agentic fluency. Want proof you've built one, not just read about it.

  • Product leaders scoping AI initiatives
    Need to evaluate engineering proposals with real technical judgment, not defer entirely or guess.

Prerequisites

  • No coding or AI engineering experience is required.

    You should be comfortable with core product-management concepts. Basic experience using of ChatGPT, Claude, Gemini would be good to have.

  • Set Up Your Tools

    Create your required accounts and confirm you can open the AI building tool before the live workshop.

  • Test the Starter Project

    Open the provided project and complete the setup check to confirm everything works correctly.

What's included

Priyanka Shetty

Live sessions

Learn directly from Priyanka Shetty in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

1:1 Before or After Workshop

1:1 session with Pri either before the workshop or after, so you can get your custom Agentic AI PM Team setup correctly.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Live Hands-On Workshop

Build one AI PM agent end to end, then connect it with two specialist agents using guided scaffolds.

Agentic AI PM Team Scaffold

Start with a reusable three-agent system designed around real product management workflows.

AI Agent Blueprint

Define each agent’s role, goal, inputs, reasoning, outputs, guardrails, evaluations, and handoffs.

Realistic PM Evidence Pack

Build and test using customer research, product data, and business context—notamál enfaldan demo.

Agent Templates and Prompts

Customize ready-to-use instructions for specialist agents instead of starting every build from scratch.

Testing and Evaluation Toolkit

Evaluate output, evidence, identify failure modes, and improve your agent team systematically.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Frequently asked questions

Maven for Teams

Reimbursement

Get your company to pay

Everything L&D needs: email template, receipts, and certificate of completion.

Get reimbursed

Team discount

Learn with your teammates

Save 20%+ when 2 or more teammates enroll in the same cohort.

Save 20%+ with a team

Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

Book a private cohort

$200

USD

Sep 25
·

12–3:30pm EDT

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