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Maven

AI Product Design Patterns

  • up to 4 weeks
  • Intermediate
  • Cohort-based

Learn the new design language and UX guardrails for AI-driven products. This course will help you understand and apply common design patterns for AI/ML, including the latest generative interactions, and practice techniques for effective conversations about trade-offs with AI engineers and researchers.

  • AI product design frameworks
  • AI product design patterns
  • AI guardrails and ethics
  • Trade-offs in AI/ML products

Overview

This course dives into the new paradigms and frameworks product leaders and designers are using to incorporate AI into their products. Through case studies, live workshops, and projects, you will learn to apply ethical, bias, fairness, and other guardrails to AI/ML products. The course features real examples from GitHub, Google, Cognizant, and Facebook Reality Labs’ Portal device.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Part-time
    course format
  • Live classes
    delivered online

Who is this course for?

PMs, Designers, and Engineering Managers

Looking to effectively integrate AI/ML into their products.

People guiding their teams

Those in the middle of integrating AI/ML into their products but are getting caught up with technical details.

Teams

Teams that want better ways to discuss cross-function trade-offs when using AI/ML in their products.

Take the next step in your productionalization of AI/ML to create value for your customers. Understand and apply common design patterns for AI/ML, including the latest generative interactions. This course is ideal for PMs, designers, and engineering managers looking to effectively integrate AI/ML into their products.

Pre-Requisites

1 / 3

  • Basic understanding of product management or design.

  • Interest in AI/ML integration in products.

  • Willingness to engage in live workshops and projects.

What will you learn?

Introduction to AI/ML design patterns
An overview of AI/ML design patterns and their importance in product design.
Empathy mapping for the machine
Workshop on creating empathy maps for AI-driven products.
AI product design patterns in practice
Practical application of AI product design patterns through case studies.
Prototyping with roleplay
Workshop on using roleplay to prototype AI-driven products.
Guardrails and ethics
Lecture on ethical considerations, bias, and fairness in AI/ML products.
Moral Imaginations scenario
Workshop on using moral imaginations to explore ethical scenarios in AI.
Trade-offs and other discussions with technical people
Lecture on discussing trade-offs and other technical considerations in AI/ML products.
Analogical innovation mapping
Workshop on using analogical innovation mapping to drive AI product design.

What learners say about this course

  • “Great course! It strikes a perfect balance between engaging lectures, relevant discussions, and hands-on workshops. The instructor shared a wealth of valuable resources, which significantly broadened my skill set. I highly recommend it.”

    Vanessa

    Principal Product Manager, Netlify

  • “Overall, Chris ran a great course. The beginning of the course felt a little information-heavy, but that changed in later sessions when more workshops and group discussions took place. This helped put that information into practice.”

    Graham

    Product Design Director, BeyondTrust

  • “A great dynamic course, it was a good exercise 1st day theory 2nd workshop.”

    Fabi

    Product Designer, Halo Media

Meet your instructor

  • Chris Butler

    AI/ML Product Leader, GitHub, Google, Cognizant, Meta, and Microsoft

    Chris Butler is a chaotic good product manager, writer, and speaker. He has product leadership and operations experience at Microsoft, Waze, KAYAK, Facebook Reality Labs, Cognizant, and Google. Today he is Staff Product Operations Manager for GitHub's AI and Productivity team.

Upcoming cohorts

  • Dates

    start now

  • Dates

    Jul 9 — Aug 3, 2026

$799