AI Product Design Patterns

New
·

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

5 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

8 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

    May 14—May 19

    Week dates are set to instructor's time zone

    Events

    • May

      14

      Lecture 1: Introduction to AI/ML design patterns

      Tue, May 14, 4:00 PM - 5:00 PM UTC

    • May

      16

      Workshop 1: Empathy mapping for the machine

      Thu, May 16, 4:00 PM - 5:00 PM UTC

    Modules

    • Introduction to AI/ML design patterns

  • Week 2

    May 20—May 26

    Week dates are set to instructor's time zone

    Events

    • May

      21

      Lecture 2: AI/ML UX design patterns in practice

      Tue, May 21, 4:00 PM - 5:00 PM UTC

    • May

      23

      Workshop 2: Prototyping with roleplay

      Thu, May 23, 4:00 PM - 5:00 PM UTC

    Modules

    • AI/ML UX design patterns in practice

  • Week 3

    May 27—Jun 2

    Week dates are set to instructor's time zone

    Events

    • May

      28

      Lecture 3: Guardrails and ethics

      Tue, May 28, 4:00 PM - 5:00 PM UTC

    • May

      30

      Workshop 3: Moral Imaginations scenario

      Thu, May 30, 4:00 PM - 5:00 PM UTC

    Modules

    • AI/ML guardrails and ethics

  • Week 4

    Jun 3—Jun 6

    Week dates are set to instructor's time zone

    Events

    • Jun

      4

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

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

    • Jun

      6

      Workshop 4: Analogical innovation mapping

      Thu, Jun 6, 4:00 PM - 5:00 PM UTC

    Modules

    • Trade-offs and other discussions with technical people

    • AI product specifications

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
Join an upcoming cohort

AI Product Design Patterns

Cohort 1

$799 USD

Dates

May 14—June 6, 2024

Payment Deadline

May 13, 2024
|

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
Join an upcoming cohort

AI Product Design Patterns

Cohort 1

$799 USD

Dates

May 14—June 6, 2024

Payment Deadline

May 13, 2024
|

Bulk purchases

$799 USD

4 Weeks