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Ascend to FAANG level GenAI Product Management

5 Weeks

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Cohort-based Course

Build & Lead GenAI: Master the technical essentials and get real-world experience to get top AI PM jobs at FAANG and unicorn AI startups.

Previously at Meta, Google 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 students to maximize the 1:1 mentoring time you get from Mahesh.


📚 We are honored to be chosen as part of Maven's BUILDWITH AI series! If you have signed up for my Responsible AI lightning talk on May 1st, you can use the event code provided to get $100 off until 5/12. Hope to see you in my class!


👨‍💻 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(click through rate).


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. He is a rare AI leader who not only talk about his successes, but also all the mistakes he encountered along the way to build successful and scalable AI products.


In this course, Mahesh will go all out sharing his AI product insights, technical acumen needed and landmines of mistakes to avoid. Mahesh also invites you to his weekly community sessions to continue learning with him and growing with peers.



💡 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗢𝗨𝗥𝗦𝗘


Drawing from my own experiences in 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 rehashing what you already know. In addition, we will provide hands-on lab to build your AI product portfolio.


I have designed this course based on my two decades experience at Microsoft, Meta, Amazon and 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 learn to develop effective product requirement documents (PRDs), and embark on creating your first AI-driven product with a talented community of highly driven individuals.


Key AI PM Technical Knowledge Covered

• 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)


💡 COURSE PREREQUISITES

This course requires traditional PM background and on the job knowledge as a PM, and is NOT for aspiring product managers.


Join my Slack community (https://tinyurl.com/duey22jx) here to ask questions, and interact with past alumni and future cohort members.

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.

How to "Cross the Chasm" and find AI PM Opportunities?

We understand the current market is tough, and we believe in giving people a chance. The Mahesh Yadav Institute is actively working with startup founders to match qualified cohort members for pro-bono GenAI PM opportunities.

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.

One-on-One Coaching session with Mahesh

You will have one 30 mins session with Mahesh to get advice on job search, or building your own company.

This course includes

9 interactive live sessions

Lifetime access to course materials

23 in-depth lessons

Direct access to instructor

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

Expand all modules
  • Week 1

    May 18—May 19

    Week dates are set to instructor's time zone

    Events

    • May

      18

      Session 1

      Sat, May 18, 4:00 PM - 5:30 PM UTC

    Modules

    • Deep Dive 1 : Neural networks

    • Lesson 1: Introduction to AI/ML Product Management

    • Lesson 2: GenAI and common ML/AI applications

    • Lesson 3: Challenges in bringing GenAI into production

    • Lesson 4: Evaluating GenAI application Part 1

    • Lesson 5: Evaluating GenAI application Part 2

    • Top Resources for Staying Updated in ML/AI

    • Deep dive 2 : Getting started with prompt engineering.

    • Video Lecture for Week 1

  • Week 2

    May 20—May 26

    Week dates are set to instructor's time zone

    Events

    • May

      23

      Portfolio Project: Developing your first GenAI application using prompts

      Thu, May 23, 12:30 AM - 1:30 AM UTC

    Modules

    • Lesson 1 : Difference in ML approaches

    • Lesson 2 : What it takes to build ML based systems - Part 1

    • Lesson 3 : What it takes to build ML based systems - Part 2

    • Lesson 4 : Using your models by inferencing

    • Lesson 5 : Doing all this with responsibility - Part 1

    • Lesson 6 : Doing all this with responsibility - Part 2

    • Lesson 7: Top patterns(Prompts, RAG and Agent) - Hands on session

    • Lesson 8(Bonus) : (Optional for technical PMs) :Going deep in model optimization

    • Concepts: Transformers and their functioning. Exploring supervised, unsupervised

    • Deep Dive: Retrieval Augmented Generation (RAG).

    • Live Workshop: Developing responsible AI practices for product design

What people are saying

        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

Michalis L

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

Mahesh Gaikwad

Experienced Product Builder

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.


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Course schedule

4-6 hours per week
  • 4 Saturdays (May 18th, Jun 1st, Jun 8th, Jun 15th)

    9:00am to 10:30am PST Live

    Recordings will be provided in the student portal if you cannot join live. May 25th we will pause class to let students celebrate Memorial Weekend with their family in the US)

  • Weekly Community Sessions

    11:00 am PST

    We have an one hour weekly session on LinkedIn.

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
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