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.

Upcoming Sessions

Session with asterisk (*) are guaranteed to run


Aug 17 - 18, 2026 12:00pm - 4:30pm EDT

Course Format and Delivery

Delivery Method: LiveOnline 
Schedule: 2 days 
Cost: $795

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

 

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

Facilitated By

J.Foner
Joel Foner
Facilitator

Joel Foner is a multi-industry coach and consultant whose 30+ years of experience span technical, business, psychology, and team-dynamics work across healthcare, financial services, and beyond. An MIT-trained engineer, he is an experienced speaker and facilitator who has designed and delivered over 100 public classes for more than 2,000 learners, building learning experiences meant to change how people actually work, not just what they know. His recent focus is helping organizations adopt AI effectively, having developed structured methods for teaching professionals to both work with AI tools and improve their ways of working with them. He works regularly with ChatGPT, Gemini, and Claude, and has built Custom GPTs and Claude skills, directly equipping participants to apply generative AI to real design thinking and problem-solving challenges.

PMI ATP 2025

Questions about this course?

Phone: 1-800-373-7028
Email: info-us@softed.com

We'd love to have the opportunity to discuss how we can assist your business.