Ex-Google, Meta, AWS, Microsoft AI PM
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29 people enrolled last week.
Go from vibe-coding to spec-based development: Build production-grade agents with memory, data lakes, and red-teaming using Claude Code, while mastering AI PM Interview skills to get hired. (Testimonials)
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This course
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In 2026, PMs are expected to ship AI agents—not just write specs. AI PM interviews are very different than traditional PM sense and execution, and most candidates fail. This bootcamp closes both gaps at once.
You'll go from vibe-coded idea to a production-ready AI product—with security, memory, observability, and real connectors—using Claude Code and Claude Cowork.
You'll get trained on MAANG/Anthrophic-level AI PM interviews, using case-studies from real AI PM interviews.
Create a portfolio project, refine your hiring story, and access Mahesh's AI PM toolkit for 3 months.
BONUS:
• Rolestack.ai subscription that get hiring manager calls for you
• AI Role Interview Prep Material and Mock Interview Support
• Mahesh's Substack Premium FREE for 6 months
Learn to build spec-based agents with Claude Code, scale with AI Foundry, and master the MAANG/Anthropic interview loops.
Set up your Claude Code workspace and learn how agentic AI changes what PMs are expected to do.
Build your first Research Copilot to automate user and market research.
Map the 2026 AI PM job landscape and identify which AI roles match your background and career goals.
Build a full-stack AI product—frontend, backend, and database—using spec-based development with Claude Code.
Add AI memory, knowledge connectors, security guardrails, and observability so your project is actually production-ready, not just a demo.
Understand how PRDs, Design.md, and agent plans fit together in a real engineering workflow.
Understand how top AI PMs think today: not as coordinators, but as builders who use AI to speed up research, structure decisions,& ship fast
You’ll learn where Claude Code fits into a real PM workflow, and how they change the way you operate day to day.
Learn how to turn your builds into strong hiring narratives that AI PM interviewers care about.
Build agents that learn over time with scheduled jobs and learning loops.
Set up data pipelines using Snowflake and Claude skills.
Deploy multi-agent systems on Azure AI Foundry with proper cost management, evaluation, and observability.
Run red-teaming agents against live AI systems to identify vulnerabilities.
Learn Anthropic-grade security practices: what breaks at scale, how to protect against prompt injection, and evaluate AI systems for safety.
Understand open challenges in agentic systems and where the field is heading.
Train on exact frameworks used by hiring managers at MAANG, OpenAI, and Anthropic. Complete live mock interview rounds with Mahesh & mentors
Leave with a clearer job strategy, stronger narratives, killer CV, and a better sense of where you belong in the AI landscape.
Learn how to talk about AI product sense, system design, Build vs. Buy decisions, case studies, and technical trade-offs with confidence.
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20+ YOE | Ex-Google, Meta Research, AWS AI, & Microsoft | 18k+ AI Alums
Product Managers who want to pivot into AI or lead AI-native products & those with some AI/ML exposure who want to master agentic systems.
Engineers or tech-leaders wanting to move into product strategy for AI. Those aiming for AI PM roles at top-tier companies & AI startups.
Anyone who wants hands-on build + portfolio + interview readiness, not just theory.
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Live sessions
Learn directly from Mahesh Yadav in a real-time, interactive format.
Hands-on labs
Each session includes a structured lab: build your personal AI assistant, build a full-stack app from spec, automate your job search, set up data pipelines, deploy on AI Foundry.
Guest Sessions from Top AI Leaders & Industry Experts
Live and interactive sessions with guests including Charu Agarwal (Founder, Rolestack.ai) and Brian Kemler (ex-Meta, ex-Google)
6 live mock interview sessions
Live feedback on your answers for AI PM full-loop interviews.
Alumni career sessions
Learn directly from past cohort members who landed AI PM and AI Product roles at leading AI companies. Hear their interview strategies, job search playbooks, and ask questions in live AMA sessions.
21-day interview question track
Daily AI PM questions with model answers to sharpen your loop readiness between sessions.
Mentor-led lab sessions
Weekly sessions with mentors who are cohort alumni working in AI at top companies. Lab walkthroughs, Q&A, and 1:1 support.
Interview Prep Lessons
Lessons on AI PM roles, resume teardown, hiring manager evaluation checklists (sourced from FAANG and OpenAI processes), product sense frameworks, and system design guides.
Lifetime access to course materials
Every session, lab, workshop, reading, template, and resource from the course is yours to keep and revisit forever.
3 months of access to Mahesh's expert AI PM skills
miniPM agent and skills.md to automate your PM grunt work.
Maven Guarantee
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15 live sessions • 18 lessons
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17
Jul
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Live sessions
6 hrs / week
Fri, Jul 10
5:00 PM—7:00 PM (UTC)
Sat, Jul 11
3:00 PM—6:00 PM (UTC)
Fri, Jul 17
1:00 AM—2:30 AM (UTC)
Labs
2 hrs / week
Async content
2 hrs / week
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.

Abhishek
Here's how Siva Prakash landed a role as a Senior AI Product Manager at Turbo

Session on: AI Product Sense & Interview Prep at 6th August

Session on: AI Product Sense & Interview Prep at 16th July
Hear directly from students as they share what it actually felt like to go through the course.
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