After this course, you'll be able to:

01
Describe the types of AI models, what data is required for each, and where that data comes from

02
Summarize the five types of AI failures

03
Rapidly evaluate your AI concepts

04
Use what AI can do (the 8 great capabilities) in your next AI task or project

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 Details

    2. Meet Your Instructors: Kerry Bodine & Dan Saffer

    1. Different AI Models have different data

    2. Where does data come from?

    3. Reference: Where does data come from?

    4. Data Labels & Data Diversity

    5. Module 1 Quiz

    6. Reference: Attributes of AI-ready customer Data

    7. Reference: Why Your Customer Data May Not Be AI-Ready

    8. Reference: Articles/Videos about Data & AI

    9. Optional Viewing: The Artist vs. The Algorithm

    1. Demystifying the AI Hype

    2. AI: Magical but not that smart

    3. 5 Types of AI Failures

    4. Module 2 Quiz

    1. AI Is A New Design Material

    2. Introduction to AI Capabilities

    3. The 8 Great AI Capabilities

    4. Printable Tool: 8 Great Capabilities Cheat Sheet

    5. Module 3 Quiz

    6. AI Scavenger Hunt: Spotting AI in the Wild

About this course

  • $149.00
  • 21 lessons
  • 1 hour of video content

Flexible options for individuals and teams.

Individuals

Get immediate access — start learning today!
 

$ 149

  • One time payment.
  • Watch 24/7. Anywhere. Anytime
  • Instant access to the full course
  • Access to templates and tools
  • Certificate of completion

Teams & Organizations

Equip your team with shared frameworks for evaluating and developing your organization's CX initiatives

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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.