Master Agentic AI PM with MAANG product leader

5.0 (49)

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5 Weeks

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Cohort-based Course

Agentic AI for PM’s: Build the Future with a MAANG Product LeaderI

This course is popular

18 people enrolled last week.

Worked in AI at Meta, AWS and Microsoft

Meta
Amazon
Microsoft

Course overview

Join the Only 5 Star Rated PM Cohort of Maven & become next-gen AI Product Lead

UPDATE AS OF 14th Feb - less than 8 Seats remain for Feb Cohort and our next Cohort will be held in May/June.



GETTING YOUR ATTENTION: WHY AGENTIC AI CHANGES EVERYTHING


AI is no longer the future—it’s happening now, transforming industries, jobs, and business models faster than ever. But here’s the key shift:

🚀 AI is evolving from static models to autonomous AI agents that can perceive, decide, and act independently—reshaping trillion-dollar industries.


Consider this:

$55.3 billion invested in AI by Q3 of 2024 alone.

74% growth in AI-related job roles in the last 4 years, with demand outpacing supply.


Agentic AI is the next frontier, yet most PMs & tech professionals don’t know how to leverage it.

But here’s the hard truth: knowing AI tools isn’t enough anymore. In today’s tight job market, a surface-level understanding of AI will only get you so far. To stand out and lead in the AI-driven era,

you need:

A deep understanding of AI’s evolution—from traditional ML models to GenAI to autonomous AI Agents.

Mastery of AI Agent frameworks like CrewAI, AutoGen, and OpenDevin to build market-ready AI products.

Hands-on experience designing and managing AI agents—not just chatbots, but multi-agent systems solving real business problems.


This is exactly why I built this course—to equip you with the skills, frameworks, and hands-on experience to thrive in the Agentic AI era.


WHY THIS COURSE?

Unlike any other AI PM course, this program is laser-focused on Agentic AI. It’s built on three pillars of AI Product Leadership:

1️⃣ Agentic AI Mastery – Learn all about AGENTIC AI, their core components, and how to deploy them for real-world applications.

2️⃣ AI Product Strategy – Understand how AGENTIC AI is shifting business landscapes and how to build AI-first products.

3️⃣ AI Tech Fundamentals – Go beyond surface knowledge with hands-on labs on AI agent design, RAG pipelines, and evaluation techniques.


WHAT'S CHANGING?

AGENTIC AI isn’t just influencing products anymore—it’s redefining Product Management itself.

PMs today aren’t just collaborating with engineers; they’re expected to lead AI-driven innovation. This means:

🔹 Developing core AI capabilities to make smarter product decisions.

🔹 Mastering multi-agent frameworks that power cutting-edge applications.

🔹 Learning how AI agents will reshape trillion-dollar industries—from finance to healthcare to enterprise automation.

The future belongs to those who can build and manage autonomous AI systems.

If you’re ready to lead in the AI revolution, not just watch from the sidelines, this course is for you.

Join me and learn how to build the next generation of AI products—driven by Agentic AI.

In 2025, leaders are doubling down on building the right AI teams and equipping them with the skills to tackle this new reality. As a PM, your ability to understand, integrate, and lead AI projects is now a core part of your role.

This course is designed to prepare you for this reality. It’s not just about learning AI—it’s about becoming the kind of PM, organizations can’t succeed without.


SO, WHAT DOES THAT MEAN TO YOU ?


As a Product Manager, expectations have changed. Leaders are looking for more than just strategy—they expect you to have practical AI skills that let you work effectively in this evolving landscape.

But here’s where it gets challenging: most PMs struggle because these skills aren’t easy to pick up. LinkedIn threads, Reddit forums, or even technical courses often fall short in providing hands-on, practical learning.

To prepare for this shift, you need to focus on three things:


1) Understanding AGENTIC AI :

Learn enough to work confidently with engineers and understand how AGENTIC AI systems are built and managed.


2) Navigating the AGENTIC AI Ecosystem:

Get familiar with the tools, frameworks, and ethical considerations shaping how AI is used in businesses today.


3) AI PM chops with real projects :

Theoretical knowledge isn’t enough. You need to combine your AI tech skill with ecosystem understanding using real problems, experience the challenges firsthand, and learn how to solve them effectively. This means building AI chops around choosing the right AI opportunities, creating AI evaluation playbooks, ensuring responsible AI development and ability to price AI specific products/features. 


The only way to build these skills is by doing—not just reading or observing. This course is structured to give you that hands-on experience, so you’re ready for the kind of work leaders now expect from AI Product Managers.


NOW WHAT, YOU ASK ?


This is exactly why we designed this program—to give you the skills, experience, and support you need to succeed in AI Product Management. It’s built around four key pillars:


1. AI/ML Concepts for PMs

Understand the core ideas shaping AI products today. Learn the differences between:

- RAG vs. Agentic RAG

- Agents vs. Multi-Agent Systems

- Compound AI vs. LLMs

- Chain of Thought (CoT) vs. Tree of Thought (ToT) reasoning

This foundational knowledge helps you navigate the AI landscape with confidence and clarity.


2. AI PM Skills

Through case study-based workshops, you’ll develop essential skills for building AI products, including:

- Making the right calls with data-driven decisions

- Evaluating AI models and solutions

- Incorporating responsible AI practices

- Pricing strategies tailored for AI products

You’ll also receive 10+ templates to guide your decision-making, ensuring you have tools you can rely on when tackling real-world challenges.


3. Hands-On Learning

Learning by doing is at the heart of this program. You’ll work through practical labs to:

- Build no-code/low-code applications

- Implement RAG models and fine-tune them for your use cases

- Explore multi-agent systems with exercises designed to apply your learning to real-world problems


4. PRD and Projects

In live sessions, you’ll create a Product Requirements Document (PRD) and build an MVP for an AI product. These aren’t just classroom exercises—they’re real projects you can showcase as tangible proof of your skills.


WHAT HAPPENS AFTER THE COURSE ?


We know learning doesn’t stop when the course ends. That’s why we’ve built ongoing support into the program:


- Weekly Saturday Sessions with Mahesh: Stay updated with the latest trends and learnings.

- Friday Follow-Up Sessions: Get feedback on your progress and refine your projects.

- Lifetime Access to Resources: Revisit materials, recordings, and templates anytime you need a refresher.

- A Vibrant Community: Connect with peers who are also navigating the AI PM journey. Share ideas, collaborate, and grow together.

- Continuous Updates: Access new tools, trends, and case studies to keep your knowledge sharp and relevant.


This program isn’t just a one-time experience; it’s a launchpad for your ongoing growth in AI Product Management.


WHAT MAKES THIS COHORT SO DIFFERENT?



1) A Cohort Like No Other:


- 50 students per cohort for personalized mentorship and networking opportunities.

- Real-time feedback and 1:1 office hours with Mahesh.


2) Unique Features:


- Weekly Hands-On Labs: Solve real-world AI problems and gain practical experience you can add to your resume and portfolio.

- Live Q&A Sessions: Direct access to Mahesh and guest speakers from top AI companies.


Support Beyond the Course:


- Lifetime access to course materials.

- Join a growing alumni network of 500+ - professionals across the globe with active conversations and job referrals.




WHY MAHESH YADAV?


Mahesh is not just an instructor—he’s a mentor with years of real-world experience leading AI teams at Google, Meta, and Microsoft. Here’s what makes him the ideal guide for your journey:


Deep Expertise: 20+ years in the industry, building AI-powered products at some of the world’s most innovative companies including his work at Meta Pytorch, AWS Bedrock and Agentic AI at Google.


Practical Insights: His teaching goes beyond theory to share what actually works in building and managing AI products, various of this students have successfully built their own products and planning to take it commercial


Proven Success: 500+ professionals have already upskilled through his courses, with many landing roles at top companies.




Are you wondering if this course is for you ?

01

Product Managers

Traditional PM looking to transition into AI Product Management. This course will help you more with GenAI.

02

Engineers and Designers:

Ready to transition into the PM world? Learn to bridge the gap between technical implementation & product strategy

03

Founders:

If you’re starting from scratch or scaling your vision, gain the knowledge & confidence to lead your team in building Ai Products

04

Non-Tech Professionals:

Transitioning into tech doesn’t mean starting over. This course helps you leverage your existing expertise with AI

What value will this course bring to you?

Clarity on AI in Product Management & Focus on AGENTIC AI

You’ll finally understand how AI fits into product management. Whether it’s building smarter tools, solving business challenges, or understanding how AI is shaping industries, this course simplifies the “what” and “how” of AI so you can lead with confidence.


Hands-On Experience

You won’t just watch or listen—you’ll do. By working on real projects, you’ll learn how to take an idea and turn it into an AI-powered product, even if you’ve never written a line of code. This isn’t about theory; it’s about building things that matter.


How to Handle AI Product Management Case Studies.

Learn from Experience: Get insights from real AI product case studies from Mahesh's journey, including bumps along the road.

Confidence in Conversations

Whether it’s talking to engineers, pitching to stakeholders, or discussing AI’s impact with leadership, you’ll have the knowledge and practical experience to speak with authority. No more nodding along or feeling out of your depth.


A Community That Grows With You

You won’t just leave with skills—you’ll leave with connections. Join a community of like-minded professionals, learn from each other, and keep growing long after the course ends.


This course includes

Interactive live sessions

Lifetime access to course materials

57 in-depth lessons

Direct access to instructor

6 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Week 1

Feb 28—Mar 2

    Lesson 1: Introduction to AI/ML Product Management

    1 item

    Lesson 2: GenAI and common ML/AI applications

    1 item

    Lesson 3: Challenges in bringing GenAI into production

    1 item

    Lesson 4: Evaluating GenAI application Part 1

    1 item

    Lesson 5: Evaluating GenAI application Part 2

    1 item

    Concepts: Transformers and their functioning. Exploring supervised, unsupervised

    1 item

    Video lesson : Getting started with prompt engineering.

    1 item

    Video Live session recording for Week 1

    1 item

    Homework

    2 items

    ML Concepts for PM

    5 items

    AI PM Skills

    4 items

    AI Ecosystems

    3 items

    Keystone Project

    1 item

    Homework

    2 items

Week 2

Mar 3—Mar 9

    Lesson 1 : What it takes to build ML based systems - Part 1

    1 item

    Lesson 2 : What it takes to build ML based systems - Part 2

    1 item

    Lesson 3 : Using your models by inferencing

    1 item

    Lesson 4: AI Stack and the Machine Learning Landscape

    1 item

    Lesson 5: AI Stack Base of Cake AI Chips

    1 item

    Lesson 6: ML/AI Frameworks

    1 item

    Lesson 7: Machine Learning Operations (MLOps)

    1 item

    Lesson 8: ML/AI as a Service

    1 item

    Concept Video:Building moats in your application Fine Tuning and knowledge graph

    1 item

    Bonus : (Optional for technical PMs) :Going deep in model optimization

    1 item

    Deep Dive: Retrieval Augmented Generation (RAG).

    1 item

    Homework

    2 items

Week 3

Mar 10—Mar 16

    Lesson 1 : Doing all this with responsibility - Part 1

    1 item

    Lesson 2 : Doing all this with responsibility - Part 2

    1 item

    Generative AI With Prompt Engineering Advanced

    1 item

    Lesson 3: GenAI use cases, ecosystem and opportunities

    1 item

    Lesson 4: Building ML/AI-Based Product (Part 1)

    1 item

    Lesson 5: Building an ML/AI-Based Product (Part 2)

    1 item

    Concept video : Let's discuss agentic first GenAI apps; AI agents video

    1 item

    Gen AI MVP development, pricing strategies, and identifying new opportunities

    1 item

    Workshop: Tackling challenges in AI/ML product deployment.

    1 item

    Homework

    1 item

Week 4

Mar 17—Mar 23

    Lesson 1: Building ML-Based Product Pricing

    1 item

    Workshop: Finalizing and publishing your Product Requirement Document (PRD).

    1 item

    Top Resources for Staying Updated in ML/AI

    1 item

    Topic: Advanced prompting techniques, AI governance, trust and feedback mechanis

    1 item

    Concepts: Managing data at scale and challenges in training large language model

    1 item

    Homework

    1 item

Week 5

Mar 24—Mar 30
    Nothing scheduled for this week

Week 6

Mar 31
    Nothing scheduled for this week

Post-course

    Mahesh's Ask Me Anything (AMA) Session

    1 item

    Keep Learning: Transition to Mahesh's Weekly Community!

    1 item

    Top patterns(Prompts, RAG and Agent) - Hands on session

    1 item

Bonus

    Product requirement document (PRFAQ)

    1 item

    Portfolio Project: Developing your first GenAI application using prompts

    1 item

    Portfolio Project: Creating a responsible AI app using RAG

    1 item

    Portfolio Project: Customizing LLMs using fine-tuning technique like LoRA

    1 item

    Portfolio Project: Building an application utilizing autonomous AI agents

    1 item

    Video links to all community Session

    1 item

5.0 (49 ratings)

What students are saying

What people are saying

        This course is truly eye-opening! Mahesh’s MAANG experience brought a level of insight that perfectly bridged my security background with the world of AI. What set this course apart was its practical focus. Mahesh's guidance on developing AI PRDs proved crucial in my job search. Thanks to this course, I secured an AI PM offer!
Brijesh Kundu (Got an AI job offer)

Brijesh Kundu (Got an AI job offer)

Principal Product Manager at SecurityScorecard.
        The curriculum covers essential AI product management,f rom foundational concepts to advanced project techniques. The practical examples and case studies provided real-world context, making complex ideas easier to understand and apply. I received an offer letter for the position of Al Product Manager thanks to Mahesh!
Aditio Putra (Got an AI job offer)

Aditio Putra (Got an AI job offer)

Senior Product Manager at Kompit
        This is the best $1800 I have ever spent on any course in my life. I tried other online AI PM courses, but this was by far the most comprehensive one.
Michalis L (Alumni mentor)

Michalis L (Alumni mentor)

Senior Director of Product Management at 2K Game Mobile
        Mahesh has deep expertise in AI product management. I benefited so much from how he applied first principle thinking in problem discovery, pricing strategies and product launch.
Mahesh Gaikwad (Become an AI builder)

Mahesh Gaikwad (Become an AI builder)

Experienced Product Builder

Our students come from diverse backgrounds—tech and beyond. If you have a passion for AI Product Management, you can thrive and lead!

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!

From Silicon Valley to Singapore, our students come from top innovation hubs across the globe!

A Snapshot of the Top Brands Our Students Represent

A Snapshot of the Top Brands Our Students Represent

Our cohort members form a strong bond with Mahesh

At one of our reunions

At one of our reunions

Free resource

A Master Class in Navigating Enterprise LLM Challenges

I was invited by Shyvee Shi, PM lead @ LinkedIn, and PM Learning Series Host to talk about challenges in enterprise LLMs. In this talk, you will learn:


✓ What is the LLM Tech Stack


✓ Common challenges when it comes to commercializing AI applications and how to solve the context size challenge


✓ Is having proprietary data a competitive moat?


✓ What is the best practice for prompt engineering


✓ How to think about the economic model of gen AI products


✓ Tips to mitigate LLM hallucinations


✓ Opportunities LLMs in the enterprise space


And more...

Get this free 101 lesson

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Join an upcoming cohort

Master Agentic AI PM with MAANG product leader

Cohort 4

$1,999

Dates

Feb 28—Apr 1, 2025

Payment Deadline

Feb 19, 2025

Don't miss out! Enrollment closes in 19 hours

Get reimbursed

Meet your instructor

Mahesh Yadav

Mahesh Yadav

With 20 years of industry experience in machine learning and AI product development at companies like Microsoft, Meta and AWS, I’ve taught over thousands of students at Meta and hundreds of PMs in cohort based learning. Now, I’m ready to teach you on Maven.

Course schedule

4-6 hours per week

  • 5 Saturdays 90 mins sessions with Mahesh

    9:00am to 10:30am PST Live/Recording

    Recordings will be provided in the student portal if you cannot join live.

  • Wed Lab Sessions/Optional Q&A

    5:30 pm - 6:30 pm PST

    You will have 5 lab sessions to build with Mahesh Teams. It is also our weekly open office hour.

  • Weekly Community Sessions

    9:00 am PST

    We want to help you to continue your learning journey even after the cohort ends. We meet weekly on my LinkedIn community. Current and previous cohort members join us to keep learning. Join us for a free event:

    https://www.linkedin.com/company/mahesh-ai-pm-community

Frequently Asked Questions

Stay in the loop

Sign up to be the first to know about course updates.

A pattern of wavy dots

Join an upcoming cohort

Master Agentic AI PM with MAANG product leader

Cohort 4

$1,999

Dates

Feb 28—Apr 1, 2025

Payment Deadline

Feb 19, 2025

Don't miss out! Enrollment closes in 19 hours

Get reimbursed

$1,999

5.0 (49)

·

19 hours left to enroll