How to Build Gen AI Products for Product Managers

10 Days


Cohort-based Course

Slice through the hype and get the practical skills you need to succeed as an AI PM or business leader by building AI apps from scratch.

Previously at

Berkeley School of Information
O'Reilly Media

Course overview

Ready to take your career to the next level by becoming an AI Product Manager?

Unlock the power of AI for your software product and career with our practical, hands-on course designed specifically for technology product managers and builders, taught by AI founder and product management lead Bill Chambers.

As a PM or business leader, you've heard the buzzwords for months. The noise in the ecosystem is deafening.

You know that AI knowledge is critical to your career but with all the hype, it's hard to know where to start. Most AI courses are high level, giving surface level information that won't help you succeed in building AI products.

This course exists to slice through the hype and get you from surface level concepts to a deep, but practical, understanding of the current state of applied AI for product managers and product builders.

In this course, you'll:

- Cut through the AI hype and gain a deep, practical understanding of applied AI

- Apply your knowledge through real-world case studies from various industries, including e-commerce, healthcare, and finance

- Build AI apps from scratch to gain hands on experience in knowledge in what it takes to build products with AI at the core

- Develop an AI PRD (product requirements document) for a product relevant to your company (or as a side hustle) and review it with Bill and your peers

- Network with and learn from other AI-focused professionals and industry leaders in an intimate cohort atmosphere (spots are limited to ensure a high quality cohort)

- Learn the foundational concepts, tools, and architectures for building generative AI products (drawing from Bill's experience as founder, the first Product Leader at Anyscale, and an early technical go-to-market hire at Databricks)

Our course is designed for builders who want to create game-changing AI products and know they need strong foundations in data and AI to do so. Whether you're a PM at a startup or a business leader at an enterprise, this course will equip you with the knowledge and confidence to make AI a reality in your organization.

Over 4 live classes, you'll learn from Bill and other experienced AI practitioners and guest speakers who have successfully implemented AI in their products and companies. You'll also receive ongoing community support and resources to help you continue your AI journey after the course.

Prerequisites: While no prior AI experience is required, a basic understanding of product management and high-level data concepts is recommended. There will be no coding required to complete this course. But we will cover technical concepts and ideas relevant to Data + AI.

Don't miss this opportunity to learn from Bill Chambers, co-author of Spark: The Definitive Guide and creator of data science courses for UC Berkeley and Udemy. Gain the skills and knowledge you need to build AI products that will shape your software career and industry.

Join us now and take the first step towards becoming an AI product leader!

Who is this course for


Product managers that want to learn practical skills by building AI products to apply those lessons to their careers and products.


Solutions architects or consultants that know they need hands-on experience to take their skills to the next level to win better clients.


Business Leaders that need to hire AI PMs or establish AI initiatives and need to understand what's noise, what's not, and where to start.

What you’ll get out of this course

👷Build an AI app from scratch
  • Build your first AI app from scratch (no coding required)
  • Learn the foundational concepts and tools in building generative AI products
👷‍♀️ Integrate proprietary data into your AI app
  • Integrate data into your AI app and understand data fundamentals along the way (no coding required)
  • Learn the foundational concepts and tools in the data ecosystem - focused on data for AI apps
👩‍🎓Apply your learnings with 3 AI product case studies
  • Learn how to see what's happening "behind the curtain" of AI products
  • Apply your learnings by writing short case studies on a gen AI apps and companies
✍️ Write an AI PRD proposal and get feedback from peers
  • Write your very own PRD based on what you've learned in the course that you can bring back to your company or career
  • Review that PRD with peers
🤝Early Adopter Bonus: Direct Access & 1:1 (limited slots available to early adopters)
  • Bill is excited to work with his first cohort!
  • As an added bonus for the first sign ups - you'll receive a 1:1 session to talk Data + AI for your business or career.
🔪Slice through the hype get the insider secrets to building gen AI apps from an AI Founder
  • Jargon-free and simple to understand, your instructor has a decade of experience in Data + AI
  • Understand the limitations that most miss when building AI products

This course includes

4 interactive live sessions

Lifetime access to course materials

30 in-depth lessons

Direct access to instructor

6 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.

Course syllabus

Expand all modules
  • Week 1

    Jun 4—Jun 9

    Week dates are set to instructor's time zone


    • Jun


      Session 1 - How to Build Basic Generative AI Apps

      Tue, Jun 4, 3:30 PM - 5:00 PM UTC

    • Jun


      Session 2 - Building Data into AI Apps

      Thu, Jun 6, 3:30 PM - 5:00 PM UTC


    • Your first AI App from Scratch - How to Build Basic Generative AI Apps

    • Level Up - Building Data into AI Apps

    • Bonus - Industry Guest Speaker (Data PM)

  • Week 2

    Jun 10—Jun 13

    Week dates are set to instructor's time zone


    • Jun


      Session 3 - How to Iterate on Gen AI Products

      Tue, Jun 11, 3:30 PM - 5:00 PM UTC

    • Jun


      Session 4 - This AI App Went to Market

      Thu, Jun 13, 3:30 PM - 5:00 PM UTC


    • Making it Real - This AI App Went to Market

    • Beyond Prototypes - How to Iterate on Gen AI Products

    • Bonus - Industry Guest Speaker (Generative AI PM)

  • Bonus


    • 1:1 About your own product/career (limited time only)

What people are saying about Bill's courses and publications

        Bill did a great job with this course. He is a great teacher to begin with. He is very careful in taking the course from basics to advanced stuff. He taught step by step.
Kiran K.

Kiran K.

Reviewing Bill's Prior Data Analysis Course
        One of the best books I have read: very clear and empowers you to use spark. Highly recommended to pro and beginners alike.
Cedric M. John

Cedric M. John

Reviewing Bill's O'Reilly Book - Spark the Definitive Guide
        Very informative, great pace! Learned a lot of new things. Having said that, I'm sure I'll go back to the lessons many times to review the details and help the information sink in. Thanks!
Mauricio S.

Mauricio S.

Student of Bill's Prior Data Analysis Course
        Excellent book , complete coverage . There is no other book that explains as simply, lucidly the concepts of Spark .


Reviewing Bill's O'Reilly Book - Spark the Definitive Guide
        This course soars where other Data Science courses fail: quick and easy application of the material. The course is focused on practicality and does not dwell on abstract or overly-academic Data Science. Instead, the instructor introduces concepts and moves to simple but clearly generalizable examples to inspire your future work.


Reviewing Bill's Prior Data Analysis Course

Meet your instructor

Bill Chambers

Bill Chambers

Founder, Advisor, Author, Educator

Bill is founder at Hyperlint, an AI app that helps developer teams write and maintain developer content. He is also creator of an educational site dedicated to teaching AI fundamentals. He also advises various Data + AI startups.

Bill was the first Product Leader at Anyscale. He was responsible for their first product releases, hiring the PM team and helping the company scale 10x.

Prior to Anyscale, Bill was one of the first 10 go-to-market hires at Databricks. During his time at Databricks, Bill co-authored Spark: The Definitive Guide with Matei Zaharia, published by O'Reilly Media.

In the past, Bill has created data science courses for UC Berkeley Master's of Data Science program (500+ sudents) as well as Udemy (5000+ students).

Bill also received his Master's Degree from the UC Berkeley School of Information in Information Systems.

In his free time, he likes to spend time outdoors with his family, train jiu jitsu, and run long distances.

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Course schedule

4-6 hours per week
  • Tuesdays & Thursdays

    90 minutes on Tuesday / Thursdays at 9AM Pacific time.

  • Weekly projects

    2 hours per week

    Week 1:

    ~ 1 hour for building your AI product from scratch

    ~ 1 hour for writing short AI case studies

    Week 2:

    ~ 1 hour review AI Case Studies + AI product

    ~ 1 hour for writing your AI PRD

Learning is better with cohorts

Learning is better with cohorts

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

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
Do I need to know how to code?
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How to Build Gen AI Products for Product Managers


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