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.
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.

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

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.
Dec
13
Dec
14
Dec
21
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Understand common pitfalls in context engineering, from data quality issues to model hallucinations.
Learn proven strategies PMs can use to design prompts, manage context windows, and guide LLM outputs.
See how strong context engineering leads to better accuracy, usability, and trust in AI products.
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
Save 25% (ends tomorrow)
$1,500
USD
6 days left to enroll