Design Thinking with Generative AI

Apply user-centric design principles to GenAI projects and solutions.

Pillar

People – Mindset, Leadership & Change

Overview

This course integrates the fundamentals of design thinking with the capabilities of Generative AI to help teams build user-focused, innovative solutions. Participants will learn how to apply empathy, ideation, and prototyping techniques to GenAI projects, ensuring technology serves real human needs effectively and responsibly.

Learning Objectives

Participants will be able to:

• Understand the design thinking process and its relevance to AI

• Frame AI problems from a user-centered perspective

• Use GenAI to support ideation, rapid prototyping, and iteration

• Evaluate GenAI outputs through the lens of user empathy and utility

• Collaborate across roles to co-create ethical, scalable solutions

Target Audience

• Product managers and UX designers

• Innovation, R&D, and transformation teams

• Cross-functional teams exploring GenAI solutions

• Anyone involved in designing AI-powered user experiences

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Hands-on workshops with team design challenges

• Interactive GenAI tool demos

• Group collaboration on problem-solving exercises

Materials Provided

• Design Thinking + GenAI Playbook

• Empathy map and persona templates

• Ideation and prototyping toolkit

• Certificate of completion

Outcomes

• Apply a human-centered approach to GenAI use cases

• Generate innovative, practical ideas using AI tools

• Align GenAI solutions with user needs and pain points

• Improve team collaboration and creativity in AI projects

Outline / Content

Day 1: Introduction to Design Thinking & GenAI

• What is design thinking and why it matters for GenAI

• User empathy: understanding needs and defining the problem

• Mapping the user journey and identifying GenAI opportunities

Day 2: Ideation & Creative Exploration with GenAI

• Brainstorming techniques supported by AI tools

• Using GenAI to expand idea generation

• Prioritizing and evaluating ideas for feasibility and impact

Day 3: Prototyping & Testing AI-Enhanced Solutions

• Building low-fidelity prototypes with GenAI support

• Testing ideas with users and gathering feedback

• Iterating based on AI-generated and human insights

Day 4: Integration & Presentation

• Aligning GenAI outputs with user value and business goals

• Presenting GenAI prototypes with storytelling techniques

• Planning for scaling and next steps in the innovation process