How to Build Gen AI Products for Product Managers
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.
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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
01
Product managers that want to learn practical skills by building AI products to apply those lessons to their careers and products.
02
Solutions architects or consultants that know they need hands-on experience to take their skills to the next level to win better clients.
03
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
What’s included
Live sessions
Learn directly from Bill Chambers in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
4 live sessions • 30 lessons • 6 projects
Week 1
- 📄
4 Pillars of WHY to Build AI Apps
- 📄
Market Case Study: Apply the 4 Pillars
- 📄
Group Discussion: what did we learn from the case studies?
- 📄
Applying AI in existing products
- 📄
Building "AI Native" products
- 🏗️
Lab + Homework: Build your AI App from Scratch
Submit by May 7 - ✍️
[Optional] Project: Apply the 4 "why" Pillars to your own app or product
Submit by Jun 8 - 📄
Project Review: Review Project from last class
- 📄
Context: Why PMs need to understand the core tech to build great products
- 📄
Data Fundamentals: The Data Ecosystem
- 📄
Data Warehouses vs Lakes vs Lakehouses: what PMs need to know
- 📄
In Context Learning vs RAG vs Fine Tuning: what PMs need to know
- 📄
Case Study: Bringing Data into AI Products
- 📄
Case Study Review: what did we learn?
- 🏗️
Lab + Project: Upgrade our AI app to use proprietary data
Submit by May 7 - 🏗️
[Optional] Project: Experiment with your own data
Submit by May 7 - 🧑🏫
SPECIAL INDUSTRY GUEST: Data PM
Jun
4
Session 1 - How to Build Basic Generative AI Apps
Jun
6
Session 2 - Building Data into AI Apps
Your first AI App from Scratch - How to Build Basic Generative AI Apps
In this module, we're going to cover key issues in building AI products. We'll review why you should (and shouldn't) build an AI app, do a live case study, then build your first AI application from scratch (starting in the class, finishing as homework).
Level Up - Building Data into AI Apps
In this module, we will continue on our previous application but talk all about data. We'll cover data fundamentals, do a case study on data products, then integrate data into our AI app (again from scratch). We are also planning a guest speaker to talk about the Data + AI ecosystem and future.
Bonus - Industry Guest Speaker (Data PM)
No module content yet
Week 2
- 📄
Review Project #3: what did we learn?
- 📄
Review PM Fundamentals: stakeholder management, scoping, marketing, pricing
- 📄
What makes AI product GTM different?
- 📄
Key Collaboration: why your eng relationship is more important than ever
- 📄
Checklist for going to market with AI
- 📄
Trends in AI
- 📄
Course Close Out
- ✍️
AI PRD Review
Submit by Apr 9 - 📄
Review Project: What did we learn integrating data in our app?
- 📄
5 Steps for HOW to Build Gen AI Products
- 📄
Market Case Study: Applying the 5 Steps
- 📄
Group Discussion: what did we learn from the case studies?
- 📄
Langchains, llamaindexes, and vectors: Oh My!
- 📄
Vibes & Evals: how to understand your new AI product
- 📄
AI Agents
- 📄
Q&A + Office Hours
- ✍️
Project: Write your AI PRD Proposal
Submit by May 8 - 🧑🏫
SPECIAL INDUSTRY GUEST - Generative AI PM
Jun
11
Session 3 - How to Iterate on Gen AI Products
Jun
13
Session 4 - This AI App Went to Market
Making it Real - This AI App Went to Market
In this module, we're going to focus on taking our product to market. We'll cover key collaboration ideas, what makes AI product GTM different, and close out the course talking about trends and the future of Data + AI.
Beyond Prototypes - How to Iterate on Gen AI Products
In this module, we'll review the progress on our projects so far and move onto how to iterate on our product. We'll review some key concepts and tools to make it so that you can partner with engineering effectively, talk about critical evaluation techniques. We'll review another case study. Lastly, we plan on an industry guest who has shipped their AI product and are now iterating!
Bonus - Industry Guest Speaker (Generative AI PM)
No module content yet
Bonus
- 🧑🎓
Bonus: 1:1 Session
1:1 About your own product/career (limited time only)
What people are saying about Bill's courses and publications
Kiran K.
Cedric M. John
Mauricio S.
Arpit
Stelle
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 LearnByBuilding.ai 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.
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
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