Cohort 1

What separates the Top 5% of AI-Fluent Product Managers from the Rest.

Vikash Rungta

Instructor, Stanford Continuing Studies | Former PM, Meta's Llama

Foundations of Generative AI for Product Managers

Amazon

Google

Visa Inc.

Apple

Listen... If you're a Product Manager, you're probably feeling it. That quiet, creeping sense of anxiety. You see the GenAI wave coming. Your engineers are talking a different language. Your boss is asking questions you can't answer. You're being asked to build roadmaps for technology you don't truly understand deep down. You've spent your entire career mastering the Problem Space. But GenAI has changed the game. The winners of the next decade will be the ones who master the technology itself. If you can't confidently talk about transformers, RAG, and model feasibility... you're at a massive disadvantage. You risk becoming irrelevant. But it doesn't have to be that way. The Discovery That Changed Everything for 2,200+ Product Leaders My name is Vikash Rungta. During my six years at Meta, I had a unique vantage point on this exact problem. As the Product Manager for Llama, focusing on the complex challenges of human alignment and safety, I saw brilliant, world-class PMs suddenly look lost when faced with GenAI's technical realities. Through leading internal bootcamps and teaching externally, I've had the privilege of training over 2,200 product leaders—from 1,200 PMs &amp; TPMs inside Meta to 1,000+ more at Stanford Continuing Studies and beyond. Across thousands of hours, I saw the same pattern emerge.The problem wasn't a lack of talent. It was a gap in their mental model. The "aha!" moment was realizing they didn't need to become coders. They needed a deep, intuitive understanding of the First Principles of how GenAI works. Once I gave them that framework, everything changed. They went from being timid observers to confident leaders. My mission is to give that same "Aha!" moment to you. ﻿What You Will Master: From Theory to Practical Leadership- This transformation is possible because you will walk away with a specific set of skills. By the end of this course, you will be able to:Explain the Core Technology- Clearly explain the fundamental concepts, architectures, and training techniques of LLMs and foundational models to any audience—from engineers to executives.Analyze Any AI Model- Confidently analyze the capabilities, limitations, and potential biases of any state-of-the-art AI model and deploy strategies to mitigate their weaknesses.Develop a Strategic Framework- Build and execute an actionable plan for integrating GenAI into your products, accounting for crucial factors like cost-value tradeoffs and data privacy.Evaluate Business Value- Pinpoint high-potential use cases and accurately assess the business value and organizational impact of bringing a new AI feature to market.Master Prompt Engineering- Demonstrate professional-level skill in prompt engineering to effectively interact with and get the absolute most out of any generative AI model. Here is Your Training Itinerary: Introduction to Generative AI, Foundational Models and Path to AGILearning Objectives:Define Generative AI (GenAI) and its relation to Artificial General Intelligence (AGI).Understand the role of product managers in the GenAI era and the impact on product development.Analyze case studies of successful GenAI products and their business impact.Introduction to Machine Learning &amp; Artificial General Intelligence&nbsp;Understand Machine learning &amp; Artificial Intelligence fundamentals&nbsp;Build your first Machine Learning Model live (no coding)&nbsp;Use cases of ML Models, forming the fundamentals for GenAIAnatomy of Foundational Models (FM’s) /LLMsUnderstand the architecture (e.g Transformers) of Large Language Model - LLMs.Explore the core capabilities and limitations of state-of-the-art LLMsLearning to control LLMs&nbsp;&nbsp;Learn how to control LLM’s to output what you need.&nbsp;Learn how to configure LLM’sLearn effective prompt engineering strategies and prompting techniques for interacting with LLMs.Prompt as a productReview use cases of products you can build using promptsLearn to use various AI playgrounds, including openai playground, Google AI Studio etc.&nbsp;Vibe coding, learn to build product that can ship using vibe coding&nbsp;Build custom GPTs, that you can ship&nbsp;Hands on: Build multiple products that you can ship using prompts&nbsp;Building Agents&nbsp;What are AI agentsHow are AI agents different from LLMsWhat are tools&nbsp;When to build an agent vs LLMHands On: Build an agent&nbsp;MCP &amp; A2AWhat is Model Context Protocol &amp; Why you need it&nbsp;What is Agent 2 Agent (from google)&nbsp;Building GenAI SystemsIdentify potential use cases, opportunities, and business value of integrating GenAI into products.Evaluate product and organizational considerations for implementing GenAI solutions.Develop a strategic framework and actionable plan for integrating GenAI capabilities.Overcoming Limitations of LLMs in product buildingIdentify common limitations of LLMs such as biases, robustness issues, hallucinations, and lack of grounding.Understand strategies for mitigating and overcoming these limitations.Analyze case studies to identify limitations and apply mitigation strategies.Retrieval-Augmented Generation (RAG)Learn the Retrieval-Augmented Generation (RAG) technique for integrating external data with LLMs.Evaluate cost-value tradeoffs when implementing GenAI solutionsFinetuning&nbsp;Finetune your models&nbsp;LLM SafetyHow to make your models Safe&nbsp;Input and output guardrailsShipping GenAI Products&nbsp;How to move from POC to MVP to Deployment&nbsp;Exploring practical everyday applications and delving into the future of Generative AI.Explore a wide range of use cases and applications of GenAI across various industries and domains.Analyze real-world examples of successful GenAI implementations.Identify lessons learned and best practices from these use cases and examples.

"First Principles" Framework for Mastering GenAI—Validated with 2200+ PMs

Visionary Product Managers aspiring to integrate AI into their product vision in Enterprise, Tech &amp; BigTech

Who is this course for

Key Takeaways

This isn't just a course. This is a complete transformation of how you operate as a PM.

The System to Gain Technical Credibility and Command of AI—Without Writing a Single Line of Code

You might feel like an imposter in AI meetings. You have to constantly ask engineering if an idea is feasible, and you’re hesitant to build a roadmap for technology you don’t fully understand. Buzzwords like "RAG," "Agents," and "Transformers" feel abstract and confusing.

Before this system

You will lead technical discussions with confidence and credibility. You’ll be able to tell engineering what’s possible and how you can build it. You will create bulletproof GenAI roadmaps that get funded because you’ll know exactly which tool to use and, more importantly, why.

After this system

Go back to course content and recordings whenever you need to.

Lifetime access

Stay accountable and share insights with like-minded professionals.

Community of peers

Share your new skills with your employer or on LinkedIn.

Certificate of completion

Dive deep into the fundamentals of ML technology, exploring what it takes to construct a product fueled by ML. Understand the nuances of ML algorithms, data requirements, and technological infrastructure that shape successful ML-driven products

Understanding the ML Landscape

Uncover the remarkable potential of Generative AI and its transformative impact on product development. Delve into the 'technology premium' associated with Generative AI, understanding why it's a game-changer in the current tech landscape

Unpacking Generative AI

Seamlessly weave AI into your product strategy and roadmap, creating a seamless fusion of technology and product vision

Crafting an AI-First Product Strategy

Immerse yourself in hands-on experiences with GenAI tools and frameworks that can redefine your product's potential, leading to novel solutions and opportunities

Practical GenAI for Product Managers

Develop a bespoke AI deployment plan with actionable steps, tailored specifically for your product's unique needs and potential

GenAI Rollout Strategy

Tackle a real-world project work aimed at building an architecture for utilizing private customer data with Generative AI. Understand the critical balance between leveraging data for AI and maintaining robust data privacy

Architecting GenAI with Privacy in Mind

Course syllabus

This is a key opportunity to demonstrate the transformation that students will achieve if they choose to enroll in your course. Why is it worth it to them?

The Transformation

What people are saying

Meet your instructor

Saturday Main sessions Dates: <ol><li>June'24 </li><li>July'15</li><li>Aug'5</li><li>Aug'19</li></ol> The course will be spread out to allow for students to catch up on various reading and catch up. Once you join you will receive calendar invite. Sessions will be recored (except breakouts)

Saturday's - Main Session

Instructor will hold live Q&amp;A on the following Wednesdays: <ol><li>June'21 (pre-course Q&amp;A)</li><li>June'28</li><li>Jul'12 </li><li>Jul'19 </li><li> Aug'9 </li><li>Sep'13</li></ol> Q&amp;A sessions will be recorded.

Wednesday - Q&A with Instructor (optional)

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

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

Interactive and project-based

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

Course completed by

About this course

Get notified about the next cohort

Learn from live sessions