Class is in session

AI Product Design Patterns

4.4

(4 ratings)

·

4 Weeks

·

Cohort-based Course

Learn the new design language and UX guardrails for AI-driven products.

Previously at

GitHub
Google
Cognizant
Meta
Microsoft

This course is popular

6 people enrolled last week.

Course overview

Be a product person that puts AI/ML into production

Are you wondering how to create products that use AI at their core? 


Gartner has said that less than 50% of AI models make it into production in 2020 and with generative AI is has gotten even worse. The reason is that they don't make it is because they aren't fit to the product.


Through a series of case studies, live workshops, and projects, we'll dive into the new paradigms and frameworks product leaders and designers are using to incorporate AI into their products. 


The course will feature real examples from GitHub, Google’s Core Machine Learning team, Google’s People + AI Guidebook, Cognizant, and Facebook Reality Labs’ Portal device.

Who is this course for

01

PMs, Designers, and Engineering Managers looking to effectively integrate AI/ML into their products

02

People looking to guide their teams in the middle of integrating AI/ML into their products but are getting caught up with technical details

03

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

What you’ll get out of this course

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


Learn to apply ethical, bias, fairness, and other guardrails to AI/ML products


Practice techniques for having effective conversations about trade-offs with AI engineers and researchers


This course includes

8 interactive live sessions

Lifetime access to course materials

9 in-depth lessons

Direct access to instructor

4 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

    Jul 9—Jul 14

    Week dates are set to instructor's time zone

    Events

    • Jul

      9

      Lecture 1: Introduction to AI/ML design patterns

      Tue, Jul 9, 4:00 PM - 5:00 PM UTC

    • Jul

      10

      Workshop 1: Empathy mapping for the machine

      Wed, Jul 10, 4:00 PM - 5:00 PM UTC

    Modules

    • AI product design frameworks introduction

  • Week 2

    Jul 15—Jul 21

    Week dates are set to instructor's time zone

    Events

    • Jul

      16

      Lecture 2: AI product design patterns in practice

      Tue, Jul 16, 4:00 PM - 5:00 PM UTC

    • Jul

      17

      Workshop 2: Prototyping with roleplay

      Wed, Jul 17, 4:00 PM - 5:00 PM UTC

    Modules

    • AI product design patterns in practice

  • Week 3

    Jul 22—Jul 28

    Week dates are set to instructor's time zone

    Events

    • Jul

      23

      Lecture 3: Guardrails and ethics

      Tue, Jul 23, 6:00 PM - 7:00 PM UTC

    • Jul

      24

      Workshop 3: Moral Imaginations scenario

      Wed, Jul 24, 4:00 PM - 5:00 PM UTC

    Modules

    • AI guardrails and ethics

  • Week 4

    Jul 29—Aug 1

    Week dates are set to instructor's time zone

    Events

    • Jul

      30

      Lecture 4: Trade-offs and other discussions with technical people

      Tue, Jul 30, 4:00 PM - 5:00 PM UTC

    • Jul

      31

      Workshop 4: Analogical innovation mapping

      Wed, Jul 31, 4:00 PM - 5:00 PM UTC

    Modules

    • Trade-offs and other discussions with technical people

4.4

(4 ratings)

What people are saying

        Since I met Chris in 2017, I've seen his inventive AI insights firsthand. His course cuts through the noise, offering enduring wisdom. This course is your roadmap from curiosity to mastery. Act now, or risk falling behind.
Adam Thomas

Adam Thomas

Principal Approaching One

Meet your instructor

Chris Butler

Chris Butler

AI/ML product leader

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. 

A pattern of wavy dots
Be the first to know about upcoming cohorts

AI Product Design Patterns

|

Bulk purchases

Course schedule

3-4 hours per week
  • Tuesdays & Thursdays

    9:00-10:00 am PT

    Start the week on Tuesday with a lecture and Q&A. Then on Thursdays do a workshop that drives the points home and you can use with your team the next day.

  • Weekly projects

    1 hour per week

    Apply what you learn to the products you are currently working on through projects.

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

How much previous knowledge do I need of AI/ML?
What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
A pattern of wavy dots
Be the first to know about upcoming cohorts

AI Product Design Patterns

|

Bulk purchases