Class is in session
5 Weeks
·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.
Class is in session
5 Weeks
·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
This course is popular
15 people enrolled last week.
Course overview
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.
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.
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.
Acquired knowledge needed to identify new opportunities in AI/ML, develop PRDs, and decide when to use an AI based solution.
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.
Learn from Experience: Get insights from real AI product case studies from Mahesh's journey, including bumps along the road.
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.
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?
Create your own GenAI product or collaborate with a startup, enhancing your portfolio.
You will have one 30 mins session with Mahesh to get advice on job search, or building your own company.
9 interactive live sessions
Lifetime access to course materials
14 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.
Ascend to FAANG level GenAI Product Management
Week 1
May 18—May 19
Events
Sat, May 18, 4:00 PM - 5:30 PM UTC
Modules
Week 2
May 20—May 26
Events
Thu, May 23, 12:30 AM - 1:30 AM UTC
Modules
Week 3
May 27—Jun 2
Events
Thu, May 30, 12:30 AM - 1:30 AM UTC
Sat, Jun 1, 4:00 PM - 5:30 PM UTC
Modules
Week 4
Jun 3—Jun 9
Events
Thu, Jun 6, 12:30 AM - 1:30 AM UTC
Sat, Jun 8, 4:00 PM - 5:30 PM UTC
Modules
Week 5
Jun 10—Jun 15
Events
Thu, Jun 13, 12:30 AM - 1:30 AM UTC
Sat, Jun 15, 4:00 PM - 5:30 PM UTC
Post-Course
Modules
Bonus
Modules
Michalis L
Mahesh Gaikwad
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.
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)
11:00 am PST
We have an one hour weekly session on LinkedIn.
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