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! Mahesh will give a FREE 30 mins lightning talk on Responsible AI on May 1st 9am PST. Register on Maven here: https://bit.ly/3UwulbQ 

👨‍💻 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.