Build your own AI Agents & Crack AI Product Sense, Execution Interviews

Mahesh Yadav

AI Lead-built early Agents @Google, Meta

We have helped creating 45+ AI PMs in last 12 months

A 3-Day Intensive to Help You Crack AI PM Roles — Even Without Years of GenAI or Tech Background

If you’re struggling to break into AI Product roles right now, you’re not alone.

The market has changed, hiring has changed, and expectations have changed.

This Bootcamp exists for one purpose:

👉 To help you land interviews, crack them, and finally position yourself as a job-ready AI PM — even if you're not from a PM or technical background.

Over the last year, thousands of aspirants have been doing “all the right things”…and still not getting traction.

This Bootcamp is built specifically for people hitting a wall, whether it’s getting interviews, passing them, or showing credible Agentic AI experience.

What You’ll Build (Inside the Bootcamp Itself)

You won’t just learn.

You will build a real agent — in the Bootcamp — with Mahesh guiding you live.

You’ll build a Job-Ready Agent using:

Microsoft Copilot

n8n workflows

Real agent memory, tool-use, reasoning patterns

Evals + guardrails (lite version)

A narrative that ties your build → interview → job role

This becomes your portfolio centerpiece and your interview anchor story.

What you’ll learn

Build Job-Ready AI Prototypes & Learn to Crack AI PM Roles from MAANG Leader Himself

  • Map where you fit in the AI PM landscape and which roles to target first

  • Identify company types and levels where your background has the highest odds

  • Turn “I’ll apply everywhere” into a focused, data-backed targeting plan

  • Ship a credible GenAI/agentic product or flow you can demo and defend

  • Cover problem, user journey, data, models, context (RAG/tools/memory), eval

  • Walk into interviews with a concrete build instead of vague “AI exposure”

  • Reframe past PM/ML/analytics/eng work into sharp, AI-first interview stories

  • Implement CV + LinkedIn tweaks that pass modern AI keyword + recruiter screens

  • Get feedback to align your CV, LinkedIn, and project with AI PM expectations

  • Learn how to answer product, execution, and strategy with AI-specific depth

  • Follow a day‑by‑day prep plan for what to practice, write, simulate, review

  • Use real cases, prompts, and flows that mirror actual AI PM interview patterns.

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

  • Traditional PMs transitioning into AI roles

  • Professionals from ML/analytics backgrounds trying to reposition for AI-first roles

  • Engineers or builders pivoting into AI Product

What's included

Mahesh Yadav

Live sessions

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

Lifetime access

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

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.

Learn minimum 2 AI Tools

Great to have in your portfolio to showcase your practical learning

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

Dec 13—Dec 14

    Dec

    13

    Bootcamp Session 1

    Sat 12/134:00 PM—9:00 PM (UTC)

    Dec

    14

    Bootcamp Session 2

    Sun 12/144:00 PM—9:00 PM (UTC)

Week 2

Dec 15—Dec 21

    Dec

    21

    Bootcamp Session 3

    Sun 12/214:00 PM—9:00 PM (UTC)

Free lesson

Context Engineering Challenges & Tips cover image

Context Engineering Challenges & Tips

Core Challenges

Understand common pitfalls in context engineering, from data quality issues to model hallucinations.

Practical Tips

Learn proven strategies PMs can use to design prompts, manage context windows, and guide LLM outputs.

Product Impact

See how strong context engineering leads to better accuracy, usability, and trust in AI products.

Schedule

Live sessions

5 hrs / week

    • Sat, Dec 13

      4:00 PM—9:00 PM (UTC)

    • Sun, Dec 14

      4:00 PM—9:00 PM (UTC)

    • Sun, Dec 21

      4:00 PM—9:00 PM (UTC)

Projects

2 hrs / week

Async content

2 hrs / week

Frequently asked questions

Save 25% (ends tomorrow)

$1,500

USD

6 days left to enroll