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Build real AI agents and gain elite PM skills with continuous weekly support.
Questions? Meet our team: https://calendly.com/team_maheshyadav/
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Why This Program Exists
Every function/job is impacted by AI. This means opportunities need AI skills now.
But, most PMs are busy trying to turn features into AI by chasing endless online advice—instead of learning how to turn ideas into Agentic systems with real product strategy, planning, and execution.
Top organizations aren’t just hiring AI PMs, they’re hiring Agentic AI PMs who can build, evaluate, govern & scale autonomous workflows.
That’s exactly why we built this cohort.
How It Works
Live Cohort Format: 21 + Weekly sessions (6+ hours/week) more (max @Maven)
Tools & Build Stack: Use world-class tools (v0.dev, Crew.ai, n8n, LangChain, OpenAI Agents, Microsoft Copilot Studio, Google Vertex.ai, AWS Flow, Azure Evaluator). You will build & ship production-ready agents without needing to code.
End-to-end Product Pipeline: Validating feasibility using AI tenets > Creating Roadmap with moat → Evaluation→ AI pricing GTM
What you’ll learn
To start leading Agentic AI products, build your own systems, define metrics, scale responsibly and attain a durable competitive advantage
ML concepts of Neural networks basics; DL vs. traditional ML vs Agent context, Supervised, unsupervised, reinforcement learning.
Different prompt engineering techniques (Zero Shot, Few Shot, RolePlaying) Build AI PM co-pilot using n8n, v0.dev that write PRD's
History of Agentic AI, Key differences between ML/AI, GenAI & Agentic AI and current landscape, Building agents with frontend and backend.
Add needed context to your agents. See where vanilla RAG fails and Agentic RAG is needed, find limitation and learn evaluation of RAG.
Identify problem suited for AI/agentic AI. Learn how to prioritize features using “new” AI-specific tenants (AI hype vs reality)
Build a PRD with technical requirements, data requirements, and prioritization based on token cost and AI risks.
Build evaluation for AI models, Agents. Create LLM as judges, use AI evaluators and define matrices for qualitative analysis.
Understanding of the Responsible AI Framework, Risks that AI products face and how to mitigate them by building guardrails on your agents.
Learn about tools usage, MCP and add integration using MCP to your agents.
Build PRDs, case-studies, and decision docs with AI first tenets that you can show managers, recruiters or investors.
Defining key performance indicators (KPIs) for AI Agents (e.g., task completion rates, user satisfaction, agent efficiency
Build continuous learning loops in your agents with fine tuning (LoRA). Using SLM's to differentiate and improve in context learning.
Finalizing artifacts, hardening demos, and crafting a compelling narrative. Getting your agent in hand of customers and get feedback.
Doing rehearsal runs, polishing evaluation dashboards and guardrail evidence
Present to judges to win prizes. Get in front of customers to get first feedback and paid customers.
Who this course is for
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.
What's included
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.
Dedicated Engineer
Get support of your dedicated Engineer for help in debugging & learn the tools.
Post Cohort Learning
Keep learning about what's new in AI Space, on our Friday Live sessions with personal invites for life
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
🗓️Week 1( Oct 27th - Nov 2nd): Live Workshops With Mahesh
🤖 AI PM Skills & Ecosystems
🧰 Keystone Project - PRD
Build in Public
Week 2
🗓️Week 2(Nov 3rd - Nov 9th): Live Workshops With Mahesh
Bonus session with Mahesh & Team - Tues 8am & 5:30pm recordings
🦾 Hands on Learning ML Concepts
🧪 Hands on Lab - Apply what you learn
🧰 Keystone Project - PRD
Build in Public
Free lesson
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Context Engineering & Agentic RAG for Product Managers
Context Engineering Fundamentals
What is context engineering and why it’s the secret weapon of next-gen LLMs
Agentic RAG (Retrieval-Augmented Generation)
How Agentic RAG goes beyond traditional RAG to enable reasoning, planning, and action-taking
Real-World Product Applications
Case studies of context engineering in enterprise AI products
Schedule
Live sessions
8 hrs / week
Projects
5 hrs / week
Async content
5 hrs / week
Success stories
- Mahesh has worked in AI chips, MLops, PyTorch, AI services and AI agents - just that makes it worthwhile for me to get into my next role as he guided me to where to apply and how to get in
Brijesh Kundu (Got an AI job offer)
Principal Product Manager at SecurityScorecard. - Top notch course for anyone truly wanting to get into Agentic PM. This is not a vanilla course, rather a full deep dive to get you day 1 ready to fully take on Agentic. With structured frameworks, Mahesh has really built the application and experiential learning with labs and office hours very well.
Nitin Rathi
Product Portfolio Director at DELL - I joined this course after already launching a GenAI product at work, thinking I had some understanding. But the depth and breadth of knowledge packed into this program far exceeded my expectations. It’s the kind of insight I might have picked up only after launching ten different products with ten different teams.
Ioana-Rebeca Glitia
CPO at FINNX
Our students come from diverse backgrounds—tech and beyond. If you have a passion for AI Product Management, you can thrive and lead!
From Silicon Valley to Singapore, our students come from top innovation hubs across the globe!
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A Snapshot of the Top Brands Our Students Represent
Our cohort members form a strong bond with Mahesh
At one of our reunions
Frequently asked questions
Why We’re Different
Free weekly sessions for 3+ years: To ensure you always stay at the cutting edge of AI — long after the module ends.
Highest community engagement: Our students don’t just study the content — they build careers, lead AI initiatives in their companies, and get real interview help. And Mahesh sets up 1:1 time with students to support individual growth.
Teaching style that connects: Mahesh teaches every concept with clarity — as if explaining to a 15-year-old — so you truly understand, not just memorize. Our alumni consistently tell us how much they love his style.
Exclusive focus on Agentic AI: We don’t teach “generative AI features” only — we teach the next level: agentic systems, multi-agent architectures, evaluation, deployment and scale.
Career-launch built in: The programme isn’t just about learning — it’s about launching your next role as an AI PM, or stepping up to lead agentic initiatives at your organization.
That's why: more students have given us 5-star reviews than any other AI / product-management certification online.
What You Additionally Get
Community + Network: Weekly live free sessions (running for 3+ years) to stay updated on the rapidly evolving AI space. Strong community engagement: peer learning, alumni success, interview support.
1-on-1 Mentorship: Program led by Mahesh Yadav — former Google/Meta/AWS/Microsoft AI product leader — who personally teaches, explains concepts simply (as if to a 15-year-old), and meets 1:1 with students to support real growth.
Ready to Get Started?
If you’re ready to stop being a bystander and start leading agentic AI products — build your own systems, define metrics, scale responsibly and land your next big role — then this is your path.
Apply now / Join the waitlist / Book a call, and let’s build the future of AI together.
Save 25% (ends tomorrow)
$2,499
USD
2 cohorts