Cohort 1

Master the latest AI tools for product analytics to get ahead. Become the self-sufficient, data-driven product leader your company needs.

George Xing

Product lead at Stripe. Former head of analytics at Lyft and startup founder.

AI-Powered Product Analytics

Stripe

Lyft

The best product managers&nbsp;rely on data and analytics to build better products and drive more impact within their organizations. While AI has given all PMs a level playing field, you need to know the right tools and when/how to use them to take advantage. In this 3-week course, I will teach introduce you to AI-based tools and workflows to master product analytics in your day-to-day work and get ahead. WHAT YOU CAN EXPECTThis is a tactical course that will equip you with the tools, frameworks, and prompts you can apply immediately in your job. By the end, you'll be empowered to perform 80% of your product analytics independently via AI-assisted analytics – so you can move faster and make data-driven decisions without the help of a dedicated data scientist. WHY LEARN FROM MEI bring 15 years of experience working in data and AI as a founder, data leader, and product manager at high-growth technology companies like Lyft and Stripe. As a product manager leading the development of data and AI products at Stripe, I stay on the bleeding edge of new AI tools in a rapidly changing environment. I will share with you insights and tips you won't find elsewhere, and each cohort of this course will learn the latest AI tools and techniques as soon as they become available. COURSE OVERVIEWThe course covers the core analytics tasks product managers face with in their day-to-day jobs. For each of the tasks, I will teach you the foundational knowledge, the right AI tools to do the job, and the techniques to achieve optimal results: Week 1: Product Metrics• Define product metrics using custom prompts paired with LLMs like ChatGPT and Claude.• Design, validate, and visualize data schemas and events with LLMs and prototyping tools like v0 and Bolt. Week 2: Data Analysis• Calculate product metrics with natural language and simple retrieval-augmented-generation (RAG)• Write, troubleshoot more accurate SQL queries with natural language and custom business context techniques• Perform common analysis tasks like cohort analysis, funnel analysis, customer segmentation, forecasting, and root-cause analysis using Claude and MCP servers. Week 3: Data Storytelling• Create data-driven slides with Google Slides and MCP• Build and update growth models for your product with Claude and Google Sheets• Automate business and growth updates with ChatGPT and Claude and custom prompts. Each week covers a single module that contains: • Recorded video content that you can watch on your own schedule.• Supplemental resources to help you learn and go deeper.• Live workshop dedicated to case studies and group discussion• HW assignment that helps you practice the skills you learn at home.• Optional AMA / office hours where I answer questions and provide HW feedback. WHO WILL BENEFIT MOST FROM THIS COURSE• Product managers who want to become "super ICs" by learning the latest AI tools and staying ahead of the curve.• Product managers who want to become data-driven product leaders at their companies.• Product managers, founders, and business leaders who want to use AI to save time or become self-sufficient with data. WHO THIS IS NOT FOR• This course is not for you if you're not interested in doing some hands-on work. You will be experimenting with AI tools and data.• This course is not designed for experienced data analysts or scientists. We won't get into advanced technical topics.• This is not for you if you work at a company that's pre-PMF or where data doesn't play a big part in product development (e.g. non-software). Most of the tools and content we cover won't be applicable to you.

Accelerate your analytics workflows with AI

Product managers who want to become "super ICs" by learning the latest AI tools and staying ahead of the curve.

Product managers who want to grow into data-driven product leaders at their companies.

Product managers, founders, and business leaders who want to use AI to save time or become self-sufficient with data.

Who is this course for

What you’ll get out of this course

<ul><li>Understand the different kinds of AI tools (LLMs, reasoning models), techniques (RAG, context windows), and how/when to use them</li><li>What MCP is and how you can use it for data analysis</li><li>Gain insight into broader industry trends with AI for analytics</li></ul>

Mastery of AI fundamentals

<ul><li>Frameworks for defining product metrics and data schemas</li><li>Overview of analysis techniques and when to apply them</li><li>Best practices and principles for building growth models, performing business diagnostics</li></ul>

Fundamentals of product analytics

<ul><li>Learn how to apply AI tools to product metrics, data analysis, and data storytelling tasks through examples and exercises.</li><li>Get access to custom prompts, workflows, and tactics you can apply immediately to your own datasets and day-to-day work.</li></ul>

AI tools for product analytics

<ul><li>Take-home homework exercises that help you practice using the AI tools on your own data, that I review and provide feedback on.</li></ul>

Hands-on assignments

<ul><li>Live discussions and case studies to learn from real examples</li><li>Collaborate and learn AI tools in a group setting with other students</li></ul>

Interactive workshops

<ul><li>I'll be available during office hours, via email, and during live sessions and throughout the course to answer questions and provide personalized guidance and career advice.</li></ul>

1:1 support from George

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

Director, Data Science and Analytics @ AppFolio

What people are saying

Meet your instructor

Live course instruction over 2 weekends. Each 3 hour session corresponds to a module.

Saturdays and Sundays

We will have 4 take-home mini-projects that give you an opportunity to apply the learnings and frameworks from the modules.

Hands-on projects

Each week I will host office hours to answer questions and topics from the course.

Office hours (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