Human-centered Design for AI

New
·

7 Weeks

·

Cohort-based Course

Are your proposed AI solutions high-risk, impractical, or simply outside of today’s AI capabilities? Learn the right way to design for AI.

Attendees who loved this course work at:

Adobe
Intuit
McAfee
MetLife
Nordstrom

Course overview

Flip your human-centered design process on its head.

Customer experience pioneer Kerry Bodine and Carnegie Mellon University professor Dan Saffer will pull back the curtain on all the AI hype — and share a powerful combination of research-driven methodologies so you can develop successful AI-driven products, services, and experiences.

Who is this course for

01

Product managers who want to include AI features in their roadmaps and avoid common pitfalls that lead to AI failures.

02

Designers who want to lead and collaborate with business and technical teams to develop AI products, services, and experiences.

03

Customer experience & employee experience professionals who want to leverage AI to increase revenue, decease costs, and bolster brand image.

What you’ll get out of this course

Distinguish reality from hype

Gartner predicts that we're just about at the top of the AI hype cycle. We'll cut through the hype so that you can approach your AI initiatives strategically and with clear, actionable steps.

Broaden your AI toolkit

With all the hype, it’s easy to assume that GenAI is the only type of AI that exists today. But generation is just one of eight core AI capabilities that you have at your disposal. You'll explore the myriad ways in which the full suite of AI capabilities can come to life.

Put a practical AI methodology to work

Throughout the course, you'll learn a set of new tools — and an end-to-end methodology — to find AI opportunities, de-risk your AI solutions, explore data requirements, and identify potential errors.

De-risk your AI initiatives

Research shows that traditional human-centered design methods lead to high-risk, low-value AI initiatives. The methods you'll learn will weed out these ideas early in your process.

Identify potential AI harms

We’ll take you through a two-part method to first identify unforeseen consequences (both the good and bad) and then resolve negative consequences where possible.

Build effective AI design teams

Design teams for AI include functional roles and expertise that designers and product managers don't normally interact with. Through course projects and discussions, you'll identify the key players.

This course includes

7 interactive live sessions

Lifetime access to course materials

24 in-depth lessons

Direct access to instructor

8 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

Week 1

Jan 13—Jan 19

    Async: Why Most AI Projects Fail

    6 items

    Jan

    13

    Live discussion & Exercises

    Mon 1/135:30 PM—6:30 PM (UTC)

Week 2

Jan 20—Jan 26

    Async: The 8 core AI capabilities

    3 items

    Jan

    20

    Live discussion & exercises

    Mon 1/205:30 PM—6:30 PM (UTC)

Week 3

Jan 27—Feb 2

    Async: Generating AI concepts

    3 items

    Jan

    27

    Live discussion & exercises

    Mon 1/275:30 PM—6:30 PM (UTC)

Week 4

Feb 3—Feb 9

    Async: Rapid evaluation of AI concepts

    3 items

    Feb

    3

    Live discussion & exercises

    Mon 2/35:30 PM—6:30 PM (UTC)

Week 5

Feb 10—Feb 16

    Async: Identifying unexpected AI outcomes

    • Feb

      10

      Live discussion & exercises

      Mon 2/105:30 PM—6:30 PM (UTC)
    4 more items

Week 6

Feb 17—Feb 23

    Async: Value to users and the business

    2 items

Week 7

Feb 24—Feb 28

    Ranking your top AI concepts

    5 items

    Feb

    24

    Discussion & Exercises

    Mon 2/245:30 PM—6:30 PM (UTC)

    Feb

    28

    Capstone project readouts

    Fri 2/285:30 PM—6:30 PM (UTC)

Bonus

    Bonus #1

    1 item

    Bonus #2

    1 item

    Bonus #3

    1 item

    Hire us to spark and guide your AI initiatives

    3 items

What people are saying

        In an ecosystem crowded with opinions disguised as facts, I sought a foundation in AI that could help me distinguish reality from hype. Kerry and Dan delivered. I learned a methodology that mitigates the risks so often inherent in AI projects, delivers meaningful value to organizations, and keeps user needs at the core of my work. Highly recommend.
Erin Eisinger

Erin Eisinger

Founder & CEO, FourByNorth Studios

Meet your instructors

Kerry Bodine

Kerry Bodine

CEO & Co-author of Outside In

Kerry Bodine took her first AI coding class in 1996. (Lisp, anyone?)


Kerry is the co-author of Outside In: The Power of Putting Customers at the Center of Your Business, a seminal book in the CX space that helps business leaders understand the financial benefits of great customer experiences — and how their organizations must change in order to deliver them.


Her ideas, analysis, and expert opinions have appeared on sites like The Wall Street JournalHarvard Business ReviewFast CompanyForbes, and USA Today.


She holds a master’s degree in human-computer interaction from Carnegie Mellon University.

Dan Saffer

Dan Saffer

Associate Professor, Carnegie Mellon Professor

Dan Saffer is an Assistant Professor of the Practice at the Human-Computer Interaction Institute at Carnegie Mellon University, a product design leader, and the author of four books: Designing DevicesDesigning Gestural InterfacesDesigning for Interaction, and the best-selling Microinteractions


Since 1995, he's designed devices, apps, websites, wearables, appliances, automotive interiors, services, social networks, and robots. He’s worked at and for such companies as Twitter, Smart Design, Samsung, Jawbone, CNN, Philips, and Microsoft — and was most recently Head of Product Design at Flipboard. 


He graduated from Carnegie Mellon with a Master’s in Design, Interaction Design.

A pattern of wavy dots

Join an upcoming cohort

Human-centered Design for AI

January 2025

$1,500

Dates

Jan 13—Feb 28, 2025

Payment Deadline

Jan 13, 2025
Get reimbursed

Course schedule

3-4 hours per week

  • Mondays: Live Discussion & Exercises

    12:30 - 1:30pm ET


  • Videos

    On your own schedule


  • Weekly projects

    30 min - 2 hours per week

    Your homework assignments will be individually tailored to a real-world challenge for your organization. Assignments will build on each other, culminating in a proposal for a low-risk AI initiative that drives value for your business.

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

A pattern of wavy dots

Join an upcoming cohort

Human-centered Design for AI

January 2025

$1,500

Dates

Jan 13—Feb 28, 2025

Payment Deadline

Jan 13, 2025
Get reimbursed

$1,500

7 Weeks