Ascend to MAANG level GenAI Product Management

5.0 (49)

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5 Weeks

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Cohort-based Course

#1 AI product management course for educating Silicon Valley's best PMs to succeed in GenAI product leadership

This course is popular

4 people enrolled last week.

Worked in AI at Meta, AWS and Microsoft

Meta
Amazon
Microsoft

Course overview

Master the AI PM technical essentials and get real-world experience in GenAI

The Mahesh Yadav Institute focuses on quality over quantity and is passionate to educate the next generation of AI product leaders. We only offer 4 cohorts throughout the year and limit each cohort to 40-50 students to maximize the 1:1 mentoring time you get from Mahesh.


📚 We are part of Maven's BUILDWITH AI series, where only the Top instructors in AI are selected. In terms of leadership style, Mahesh is a servant leader. He believes in giving back and wants to help you to become #1 in the AI/ML space.


For the general public, we have a Free Sat community, where they can come and learn AI, meet industry speakers and ask Mahesh questions LIVE. You can join our FREE AI PM group here: https://www.linkedin.com/company/mahesh-ai-pm-community


🚀 Why Join Us?

For Aspiring AI Leaders:

- Access 5 live sessions (90 mins each) covering advanced AI/ML strategies.

- Gain hands-on experience through 5 lab sessions (60-90 mins) – crucial if you want to stand out as an AI Product Manager.

- Early access to essential course materials to jumpstart your learning journey.

- Lifetime support: Whether you're building your own AI company, seeking mentorship, or transitioning to an AI PM role, Mahesh will continue to guide you post-graduation.


🏆 Our Success Stats :

- All alumni reports an increase in confidence to lead AI strategy, build an AI company or ship an AI-powered product.

- 5 alumni from recent cohorts got AI PM jobs or have started their own companies.

- Cohort 1 members have started getting AI PM interviews.


We believe this is only achievable in a smaller class setting and genuine care for students in their career journey post-graduation.


👨‍💻 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗜𝗡𝗦𝗧𝗥𝗨𝗖𝗧𝗢𝗥


Mahesh Yadav is the GenAI PM lead at Google GenAI team. He has over 20 years of experience in AI/ML Product management and engineering, specializing in deploying large language model (LLM) based services and enhancing AI infrastructure at companies like AWS AI (Bedrock), Meta (PyTorch and Feed), and Microsoft Azure AI. Mahesh is the original product builder for AWS Bedrock GenAI services, and he grew the platform's customers from zero to 10k in 8 months. In addition, he optimized Pytorch at Meta by moving it from a single cluster training platform to a multi-cluster training platform and expanded the feed models from Billion to Trillion in scale to increase feed CTR.


Mahesh is on a mission to educate the next generation of AI/Ml product managers. He has taught 1000s of students in his Meta internal channel course, and 5 cohorts at PMExercises. He has helped hundreds of PMs to interview for AI/ML roles for the past 10 years.Mahesh's vision is to educate the next wave of AI product managers by sharing his successes and mistakes—ensuring you're prepared for the challenges ahead.



💡 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗢𝗨𝗥𝗦𝗘


Drawing from my experiences developing ML/AI products and working at leading companies like Facebook, AWS, and Google, I've observed a critical gap. Many aspiring AI PMs struggle in the AI space due to a lack of understanding of AI/PM product basics, technical concepts, or the absence of a hands-on project or portfolio that demonstrates their AI PM skills in the market. In this course, I will share in-depth topics that will truly help set you apart for AI ML interviews, and rehash what you already know. In addition, we will provide a hands-on lab to build your AI product portfolio.


I have designed this course based on my two decades of experience at Microsoft, Meta, Amazon & Google to not only provide deep insights into AI PM fundamentals but also to focus on the technical aspects and practical applications needed in the AI field which will prepare you for the real-life interview settings, and your AI PM career.


Throughout the course, you will have practical lab sessions to help you to understand the tradeoff you have to make as an AI product manager.


Furthermore, you will also develop effective product requirement documents (PRDs), and embark on creating your first AI-driven product with a talented community of highly driven individuals, guided by me.


Key AI PM Technical Knowledge Covered

(This is a small sample of what we will go through in class. AI is a rapidly changing field. What set me apart from other instructors is I am in the core GenAI team working with the core tech, so I can continue to bring in the latest concepts and industry insights for each cohort)

• Basic AI Concepts (e.g. Neural Networks, Transformers, Diffusion)

• Real-world examples of ML/AL execution and tradeoffs

• Special focus on GenAI, its applications, and deployment with technical deep-dive

• Types of AI Models and Applications

• How to evaluate the success of GenAI models and systems

• AI/ML Stacks

• Advance knowledge and session on AGI's

• LLM-Powered Agents and Agent Creation

• Prompt Engineering

• Prompting Techniques (e.g. Zero-shot, chain of thoughts)

• Fine-tuning ML models (e.g. PEFT, LoRA) & RLHF

• Retrieval Augmented Generation (RAG) & Retrieval Augmented Fine-Tuning (RAFT)


💡 COURSE PREREQUISITES

This course requires a traditional PM or equivalent background, but we have cohort members from other backgrounds in design and ML engineering who have proved to be a great fit too. Contact us if you have questions if this course will be a good fit for you.

Who is this course for

01

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

02

Current AI PM’s looking to upskill and build hands-on projects and portfolios to set themselves apart in the current market.

03

AI/ML data scientist / cloud architects/UX and program managers transitioning into product management.

04

Entrepreneurs and product builders looking to build and improve their GenAI products.

What you’ll get out of this course

Learn Core AI Concepts and Position yourself as an AI Product Manager

Master the essentials and patterns unique to AI(GenAI) product development. You can then position yourself for that new AI PM job based on your past experience and newly acquired skills.

Solving AI Product Sense Questions

Acquired knowledge needed to identify new opportunities in AI/ML, develop PRDs, and decide when to use an AI based solution.

Pass that AI PM technical interview

Throughout the course, Mahesh will walk you through the most common types of GenAI systems and AI models. Expect a deep-dive in Large Language Models (LLMs). We will also go over common AI systems such as Computer Vision, Regression, Search and Recommendation etc.

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.

Advancing your AI Product Management Skills

How to convince stakeholders to invest in your AI features and products? What mistakes to avoid? How to develop MVP in GenAI, and how to come up with pricing strategies?

Hands-On Building: Build a portfolio of GenAI powered products.

Create your own GenAI product or collaborate with a startup, enhancing your portfolio.

Coaching sessions with Mahesh on your PRD/capstone project

Mahesh will coach you in a small group settings to guide your PRD and (or) Capstone project to succeed.

This course includes

Interactive live sessions

Lifetime access to course materials

44 in-depth lessons

Direct access to instructor

4 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 26—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

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

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 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

Congratulations May 2024 cohort, you did it!

Congratulations May 2024 cohort, you did it!

Active hands-on learning

This course builds on live workshops and hands-on projects. We use a special methodology to group students together to maximize learnings.

Interactive and project-based

You’ll be interacting with other cohort members through breakout rooms and project teams. You get to know your cohort-mates really well!

Exclusive community for alumni

Join our exclusive community to access an extensive network of alumni, job opportunities and access to Mahesh for special events tailored to your AI career journey.

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Join an upcoming cohort

Ascend to MAANG level GenAI Product Management

Cohort 4

$1,999

Dates

Feb 27—Mar 30, 2025

Payment Deadline

Dec 27, 2024

Don't miss out! Enrollment closes in 2 days

Get reimbursed

Meet your instructor

Mahesh Yadav

Mahesh Yadav

With 20 years of industry experience in machine learning and AI product development at Microsoft, Meta, AWS, and Google, 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 (Aug 24th, Aug 31th, Sept 7th, Sep 14th, Sep 21st)

    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

    5:00pm - 6pm PST

    You will have 4 lab sessions to build with Mahesh. It is also our weekly open office hour.

  • Weekly Community Sessions

    11:00 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

Ascend to MAANG level GenAI Product Management

Cohort 4

$1,999

Dates

Feb 27—Mar 30, 2025

Payment Deadline

Dec 27, 2024

Don't miss out! Enrollment closes in 2 days

Get reimbursed

$1,999

5.0 (49)

·

2 days left to enroll