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.
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:
Course overview
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.
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.
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.
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.
Human-centered Design for AI
Jan
13
Jan
20
Jan
27
Feb
3
Feb
10
Live discussion & exercises
Feb
24
Feb
28
Erin Eisinger
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 Journal, Harvard Business Review, Fast Company, Forbes, and USA Today.
She holds a master’s degree in human-computer interaction from Carnegie Mellon University.
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 Devices, Designing Gestural Interfaces, Designing 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.
Join an upcoming cohort
January 2025
$1,500
Dates
Payment Deadline
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.
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
Join an upcoming cohort
January 2025
$1,500
Dates
Payment Deadline