Acing AI PM Interviews while Building Claws & Mastering Claude Code Skills

Mahesh Yadav

AI Lead-built early Agents @Google, Meta

This course is popular

31 people enrolled last week.

Crack AI interviews | Build with OpenClaw/Claude code | Master AI Product Sense

- Enroll at Full Price & Get a FREE MAC Mini
or
- Get $650 code "NOMAC" (We will help you setup a secure cloud based mini@$20/per month)

PMs are required to be builders now. If you can understand how Claude Code works and make OpenClaw work for you daily, you can 10× your impact.

  • This course ensures that you not only use OpenClaw and Claude Code, but also truly understand how they work under the hood and how you can build agentic AI using Agentic2.0(agent loop).

  • We also combine this with MAANG/OpenAI/Anthrophic level interview AI PM interviews preparation, using a case-studies from real AI interviews.

    This course will build your AI product sense and execution muscle needed to succeed in AI space for internal and external jobs transfers.

You will get access to our miniPM agents and my expert level AI PM skills.md to automate your PM grunt work for 3 months.
Any doubts/requests?
Book a call

BONUS : Benefits worth $2230 as:

v0 credits
Rolestack.ai to automates job application and booking hiring manager calls for you
Free access to Mahesh monthly paid workshops($499) for 3 months
• AI Role Interview Prep Material and Mock Support
• Mahesh's Substack Premium access for 6 months

What you’ll learn

Build AI Assistants, become a Super-IC PM, and ship AI Product Roles

  • Set up your Claude Code workspace and learn how AI assistants change the role of a PM.

  • Build your first Research Copilot to automate user and market research.

  • Map the AI PM landscape, helping you identify which AI roles match your background and career goals.

  • Learn how to create AI-native PRDs using structured templates inside OpenClaw & Claude Code.

  • Understand context engineering and how to pass product context into agents.

  • Learn how to turn your builds into strong hiring narratives that interviewers care about.

  • Build agents that convert PRDs into product mocks and early prototypes.

  • Learn how to reason about AI systems, model trade-offs, and architecture decisions.

  • Practice explaining these systems the way AI PM technical interviews evaluate candidates.

  • Automate customer feedback → insights → Jira tickets using agentic workflows.

  • Learn guardrails, evals, and human-in-the-loop systems.

  • Learn AI PM case study frameworks used in interviews, including product sense, GTM thinking, and build-vs-buy decisions.

  • Turn everything you’ve built into a strong AI PM portfolio.

  • Learn how to pass technical interviews using vibe coding demonstrations, present your agents and workflows confidently.

  • Develop a targeted strategy for applying to AI product roles.

Learn directly from Mahesh

Mahesh Yadav

Mahesh Yadav

20+ years exp., Ex-Google, Meta Research, AWS AI | 10k+ AI Alums

Previously Worked at
Google
Meta
Microsoft
Amazon Web Services

Who this course is for

  • Aspiring AI Product Managers
    who want to transition into AI product roles.

  • PMs who want to become stronger ICs
    by using AI assistants and agentic workflows.

  • Engineers moving into product
    who want to learn product strategy and AI PM thinking.

What's included

Mahesh Yadav

Live sessions

Learn directly from Mahesh Yadav in a real-time, interactive format.

Research Copilot

Build an AI assistant that gathers and summarizes user and market research.

AI-First PRD Generator

Use templates and context engineering to create the first draft of structured PRDs.

Agent-Driven Mock Generation

Create agents that convert PRDs into product mockups and early prototypes.

Product Workflow Automation

Design end-to-end product flows using agents.

Feedback → Jira Automation

Turn customer insights into prioritized product tasks automatically.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

Week 1

Apr 4—Apr 5

    Agentic AI PM Foundation Material

    10 items

    Week 1 AI PM Interview prep material

    1 item

    Welcome Session: 5th April— Foundations & Setup 5th April @7:00-9:00AM PST

    1 item

    Hands-on-Labs (Build your first AI PM Copilot)

    2 items

Week 2

Apr 6—Apr 12

    Week 2 AI PM Interview prep material

    3 items

    Live with Nancy: 9th April @5:30-7:30PM PST: Product sense in the Age of AI

    1 item

    Live with Mahesh: 11th April @8:00AM PST: Claude Code, PRDs & Product Thinking

    1 item

    Live with Mahesh: 12th April @8:00AM:OpenClaw, Technical Depth & System Thinking

    1 item

    Hands-on Labs(Create Your Personal Assistant)

    1 item

Free resources

Schedule

Live sessions

6 hrs / week

Labs

2 hrs / week

Async content

2 hrs / week

Testimonials

  • This is by far the best online course you will find out there. The structure of the course is incredible and Mahesh is truly an exceptional instructor. On top of that, his team is super supportive and always willing to go above and beyond to help. I strongly recommend this course to anyone even remotely thinking of learning about AI Product Management.

    Testimonial author image

    Abhishek

    Sr. Manager, Product Analytics, Prime Video · Amazon

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Frequently asked questions

$2,999

USD

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1 day left to enroll