After this course, you'll be able to:

01
Explain why the traditional human-centered design process alone fails for AI

02
Generate AI concepts using the capability matchmaking technique

03
Rapidly evaluate your AI concepts

04
Simplify your AI concepts to make them more feasible

05
Identify the value your AI concept brings to your users and your business

Prior to this course, you should have general knowledge of:

01
The types of AI models

02
The capabilities of AI (What it can and cannot do)

Instructors

Kerry Bodine

CEO

Kerry Bodine’s book, Outside In: The Power of Putting Customers at the Center of Your Business, helps leaders understand the financial benefits of great customer experiences — and how to deliver them. In 2014, she founded Bodine & Co., a consulting firm that blends human-centered design with AI strategy to help organizations innovate and adapt. She’s a sought-after keynote speaker at conferences and corporate events worldwide, inspiring leaders to see change as an opportunity to deepen the value they provide. Kerry’s insights have been featured in 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.

Dan Saffer

Assistant Professor of the Practice at the Human-Computer Interaction Institute at Carnegie Mellon University

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 (2011), Designing Gestural Interfaces (2008), Designing for Interaction (2006, 2009) and the best-selling Microinteractions (2013). 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.

Course curriculum

    1. Welcome & Course Structure Details

    2. Meet Your Instructors: Kerry Bodine & Dan Saffer

    3. Exercises In This Course: High Level Introduction

    1. Exercise 1.1: Traditional Ideation

    2. Why Traditional Human-Centered Design Processes Fail

    3. AI Innovation Gap

    4. Introduction to Matchmaking

    5. Printable Tool: 8 Great Capabilities Cheat Sheet

    6. Exercise 1.2: Ideation with Matchmaking

    1. Technical Feasibility & Accuracy (Video)

    2. Intern Island: An Analogy to Assess Concepts

    3. Exercise 2.1: Rapid Evaluation (Intern Island)

    4. How to Simplify Your AI Concepts

    5. Exercise 2.2: Simplifying your concepts

    6. Readings and References: Rapid Evaluation

    1. Value Assessment

    2. Why are we just talking about value now? (Video)

    3. Examples of AI’s value across the 8 great capabilities

    4. Assessing Value: Good for Business, Good for People (Video)

    5. Exercise 2.3: Value Assessment

About this course

  • $149.00
  • 20 lessons
  • 0.5 hours of video content

Flexible options for individuals and teams.

Individuals

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  • Access to templates and tools
  • Certificate of completion

Teams & Organizations

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  • Team enrollment and seat management
  • Admin dashboard and reporting
  • Progress tracking across learners
  • Shared frameworks for evaluating AI initiatives

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"The course frameworks balance business impact, user value, and AI feasibility to create well-rounded AI solutions. Highly recommend it!"

Manqian Qian

Product Designer

Erin Eisinger

Founder & CEO

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.

Dionne

Designer

The frameworks taught were immediately applicable to my work, and Kerry and Dan provided practical tips that directly addressed our concerns. The course struck the perfect balance with weekly content review and interactive sessions that kept our cohort consistently engaged.

Sean

Product Designer

Good strategies and frameworks that are useful for thinking through valuable AI features or products, rather than just following the hype. The course covered practical approaches to identifying where AI can genuinely add value through the capabilities it possesses. Overall, it provided a more thoughtful approach to AI ideas that work.