Mydra logo
Log in
>All courses>Product Management
Product Management
Maven logo

Maven

Ascend to MAANG level GenAI Product Management

  • up to 6 weeks
  • Intermediate

This course is designed to master the AI PM technical essentials and get real-world experience in GenAI. It focuses on quality over quantity, offering 1:1 mentoring time from Mahesh Yadav, a GenAI Product Leader at Google. The course includes live sessions, lab sessions, and continuous support post-graduation.

  • Basic AI Concepts
  • Real-world ML/AI Execution
  • GenAI Applications
  • Types of AI Models
  • Evaluating GenAI Models

Overview

Drawing from Mahesh Yadav's extensive experience in AI/ML product management at leading companies like Facebook, AWS, and Google, this course addresses the critical gap in understanding AI/PM product basics and technical concepts. It includes hands-on labs to build your AI product portfolio, practical lab sessions, and effective product requirement documents (PRDs). The course prepares you for real-life interview settings and your AI PM career.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Full-time
    course format
  • Live classes
    delivered online

Who is this course for?

Traditional PMs

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

Current AI PMs

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

AI/ML Data Scientists

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

Entrepreneurs

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

This course offers key benefits such as mastering AI PM technical essentials, gaining real-world experience, and continuous support post-graduation. It covers essential AI concepts, practical applications, and hands-on labs, making it ideal for traditional PMs, current AI PMs, and entrepreneurs. The course will help you build a strong AI product portfolio and advance your career in AI product management.

Pre-Requisites

1 / 2

  • Traditional PM or equivalent background

  • Experience in design or ML engineering can also be a good fit

What will you learn?

Introduction to AI/ML Product Management
An overview of AI/ML product management, including key concepts and industry insights.
GenAI and Common ML/AI Applications
Exploring the applications of GenAI and common ML/AI use cases.
Challenges in Bringing GenAI into Production
Identifying and addressing the challenges in deploying GenAI products.
Evaluating GenAI Application Part 1
Methods and metrics for evaluating the success of GenAI applications.
Evaluating GenAI Application Part 2
Continued exploration of evaluation techniques for GenAI applications.
Transformers and Their Functioning
Understanding the functioning of transformers in AI models.
Getting Started with Prompt Engineering
An introduction to prompt engineering and its applications.
What it Takes to Build ML-Based Systems - Part 1
Exploring the requirements and processes for building ML-based systems.
What it Takes to Build ML-Based Systems - Part 2
Continued exploration of building ML-based systems.
Using Your Models by Inferencing
Techniques for using and inferencing with AI models.
AI Stack and the Machine Learning Landscape
An overview of the AI stack and the current machine learning landscape.
AI Stack Base of Cake AI Chips
Understanding the base of the AI stack and the role of AI chips.
ML/AI Frameworks
Exploring various ML/AI frameworks and their applications.
Machine Learning Operations (MLOps)
An introduction to MLOps and its importance in AI product management.
ML/AI as a Service
Understanding ML/AI as a service and its applications.
Building Moats in Your Application
Techniques for building competitive moats in AI applications.
Fine Tuning and Knowledge Graph
Advanced techniques for fine-tuning AI models and using knowledge graphs.
Retrieval Augmented Generation (RAG)
Deep dive into Retrieval Augmented Generation and its applications.
Creating a Responsible AI App Using RAG
Building responsible AI applications using Retrieval Augmented Generation.
GenAI Use Cases, Ecosystem, and Opportunities
Exploring the ecosystem and opportunities in GenAI.
Building ML/AI-Based Product (Part 1)
Steps and considerations for building ML/AI-based products.
Building an ML/AI-Based Product (Part 2)
Continued exploration of building ML/AI-based products.
GenAI MVP Development, Pricing Strategies, and Identifying New Opportunities
Developing MVPs, pricing strategies, and identifying new opportunities in GenAI.
Tackling Challenges in AI/ML Product Deployment
Workshop on addressing challenges in deploying AI/ML products.
Customizing LLMs Using Fine-Tuning Techniques like LoRA
Techniques for customizing large language models using fine-tuning.
Building ML-Based Product Pricing
Strategies for pricing ML-based products.
Finalizing and Publishing Your Product Requirement Document (PRD)
Workshop on finalizing and publishing PRDs for AI products.
Top Resources for Staying Updated in ML/AI
Resources and strategies for staying updated in the rapidly evolving field of ML/AI.
Advanced Prompting Techniques, AI Governance, Trust, and Feedback Mechanisms
Exploring advanced prompting techniques and mechanisms for AI governance, trust, and feedback.
Managing Data at Scale and Challenges in Training Large Language Models
Techniques for managing data at scale and addressing challenges in training large language models.

What learners say about this course

  • “The content is very easy to follow, relatable and the exercises / tasks during the live class solidify the concepts really well. For me as a PM working on ML products, my concepts and clarity of understanding how algorithms learn definitely improved. The instructor brings a lot of real world examples from his experience at FAANG companies.”

    Ankita

    Sr Product Manager, Beauty Pie

  • “If you are seeking a transformative learning experience in AI and ML, look no further. This course, led by the incredibly insightful Mahesh, seamlessly blends theoretical knowledge with practical, hands-on application. What sets this course apart is its strong focus on real-world projects, ensuring you gain invaluable experience that you can immediately apply in your career. The collaborative environment and the opportunity to work closely with a diverse group of professionals enrich the learning experience even further. Mahesh’s deep expertise and approachable teaching style make complex concepts not only understandable but also enjoyable. By the end of this course, you will have a solid grasp of AI/ML fundamentals, a portfolio of projects, and the confidence to navigate the AI landscape. This is more than just a course; it’s an essential step for anyone serious about excelling in the AI field.”

    Amin

    Senior Product Manager, OVOU Inc.

  • “This course is a must for all professionals, regardless of their functional or technical domain. Mahesh has structured the content in a way that provides a solid foundation in AI basics while allowing those who wish to dive deeper into technical concepts to do so. The dedication and expertise that Mahesh brings from his firsthand experience in the field are evident in every conversation and session. He is super approachable and helpful. The only caution is that the course moves fast, so make sure you’re able and willing to dedicate the time and make the most out of it. The course is worth every penny. Highly recommend!”

    Swati

    Executive Director, Customer Experience, Bolt Today

Meet your instructor

  • Mahesh Yadav

    GenAI Product Leader, Google

    Mahesh Yadav is the GenAI PM lead at Google GenAI team with over 20 years of experience in AI/ML Product management and engineering. He has taught thousands of students and helped hundreds of PMs to interview for AI/ML roles.

Upcoming cohorts

  • Dates

    Apr 11 — May 24, 2026

$2,499