AI and Design Thinking

Turbocharge your team’s approach to development, problem-solving, and the design process by
combining the power of design thinking with cutting-edge generative AI capabilities.

Course Format and Delivery

Delivery Method: LiveOnline
Schedule: 2 days
Cost: $$$ USD

All sessions are delivered live by an expert instructor in a fully interactive online environment.

*20% off for group bookings when booking 3 or more attendees from the same organization on the same course dates in the same transaction.

About this course

This comprehensive workshop brings together two transformative methodologies—design thinking and generative AI—to equip enterprise professionals with practical tools for
innovation and problem-solving. Participants will learn how to apply human-centered design principles to identify and solve complex business challenges while leveraging AI as both a design tool and a solution component.

Through hands-on exercises, real-world case studies, and interactive workshops, you'll discover how to use design thinking to create AI-powered solutions, integrate AI into your design process, and build a foundation for continuous innovation in your organization.

What you will learn

Apply design thinking methodology to identify opportunities for AI implementation
Use generative AI tools to accelerate the design thinking process
Create user personas and journey maps with AI assistance
Rapidly prototype AI-powered solutions and features
Design and validate AI agents and automation workflows
Integrate AI capabilities into existing design tools like Figma
Develop crisp problem definitions for AI solution development
Generate interview questions and research plans using AI
Build iteration plans that leverage both human creativity and AI capabilities
Apply ethical considerations in AI-assisted design processes

What you will need

There are no prerequisites for the Generative AI for Executives

This course is great for

UX/UI Designers seeking to integrate AI into their design workflow
Product Managers & Product Owners driving AI-enabled features
Business Analysts designing automated solutions
Innovation Leaders & Digital Transformation Managers
Software Developers & Solution Architects
Agile Coaches & Scrum Masters
Enterprise Architects & Technology Strategists
Anyone involved in designing or implementing AI solutions

Topics Covered

Section 1: Foundations of Design Thinking
Understanding the Human-Centered Approach

Core principles of design thinking methodology
The five stages: Empathize, Define, Ideate, Prototype, Test
Human-centric vs. technology-centric approaches
Common design thinking frameworks and when to use them
Building empathy through user research

Practice: Design thinking warm-up exercise

Section 2: Introduction to Generative AI for Design

Capabilities, Limitations, and Opportunities

Understanding what generative AI can and cannot do
Overview of current AI tools relevant to design and innovation
The "blank canvas problem" in AI implementation
Identifying appropriate use cases for AI in your organization
Ethical considerations and responsible AI design

Practice: AI capability assessment workshop

Section 3: AI as a Design Thinking Assistant
Accelerating the Design Process with AI

Using AI for rapid ideation and brainstorming
AI-powered persona development and user research
Generating interview questions and survey designs
Synthesizing user feedback with AI analysis
Creating journey maps and service blueprints
Automating affinity mapping and pattern recognition

Practice: Build a complete user persona using AI tools

Practice: Generate and refine interview protocols

Section 4: Designing AI-Powered Solutions
From Problem Definition to AI Implementation

Defining problems suitable for AI solutions
Evaluating AI/ML fit for business challenges
Designing conversational AI and chatbot experiences
Creating AI agents for business processes
Workflow automation design principles
Developing AI solution architectures

Case Study: Enterprise AI agent implementation
Practice: Design an AI solution for a real business problem

Section 5: Rapid Prototyping with AI
Fast Feedback and Iterative Design

AI-assisted wireframing and mockup generation
Using AI to create interactive prototypes
Testing AI concepts with stakeholders
Generating prototype variations quickly
Building proof-of-concept demonstrations
Measuring and validating AI solution effectiveness

Practice: Create three prototype variations using AI

Section 6: AI Integration in Design Tools
Enhancing Your Existing Workflow

AI capabilities in Figma and Adobe products
Automating design system management
AI-powered accessibility checking
Using AI for design QA and consistency
Collaborative AI design sessions
Version control and AI-generated assets
Demo: Live Figma + AI workflow demonstration

Practice: Enhance an existing design with AI tools

Section 7: Real-World Applications
Case Studies and examples in detail

Capital One: Conversational AI design process
Microsoft: Copilot integration strategies
Lessons learned and best practices

Group Breakout: Analyzing success factors

Section 8: Building Your AI + Design Thinking Strategy
Creating an Action Plan

Assessing organizational readiness
Identifying quick wins and pilot projects
Building cross-functional design teams
Establishing AI design guidelines
Creating feedback loops and measurement systems
Change management for AI adoption

Group Breakout: Develop your 90-day implementation plan

Hands-On Projects

Throughout the workshop, participants will work on real, immediately applicable projects:

1. AI Solution Canvas: Map out an AI-powered solution for your organization
2. Persona Generator: Build AI-assisted user personas for your products
3. Prototype Sprint: Create rapid prototypes using AI tools
4. Integration Plan: Design AI integration for existing workflows

Tools & Technologies Covered

ChatGPT, Claude, and other LLMs for design assistance
Figma with AI plugins
Miro/Mural for collaborative design
Microsoft Copilot for productivity
Adobe Firefly for creative assets
Specialized AI design tools

Participants will leave with:

Comprehensive toolkit of AI-enhanced design thinking methods
Templates for AI solution design
Access to curated AI tool library
Network of innovation practitioners
90-day implementation roadmap
Certificate of completion