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AI & Digital Arts · MS elective · 3 credit hours · 16 sessions

Product Innovation with Generative AI

This course focuses on the strategic side of design: innovation and market viability. Students will learn to use Generative AI not just to design how a product looks, but to identify what products should exist. By leveraging AI for market gap analysis, feature brainstorming, and competitive intelligence, students will develop innovative product solutions that address complex user needs in novel ways.

§ 01 By the end you can
  1. Leverage AI to analyze market trends and identify innovation opportunities
  2. Utilize LLMs for feature brainstorming and value proposition design
  3. Conduct AI-assisted competitive analysis and user persona generation
  4. Rapidly visualize Minimum Viable Products (MVPs) using generative tools
  5. Develop a comprehensive product pitch deck supported by AI-generated data
§ 02 Sixteen sessions

The whole semester.

  1. 01Principles of Product Innovation
  2. 02AI for Market Research & Trend Spotting
  3. 03Identifying "Blue Ocean" Strategies with AI
  4. 04Synthetic User Personas & Empathy Maps
  5. 05Brainstorming & Ideation Techniques
  6. 06Feature Prioritization with Algorithms
  7. 07Concept Validation & Risk Analysis
  8. 08 · MidtermMidterm Examination
  9. 09Rapid Prototyping: Visualizing the MVP
  10. 10User Experience (UX) Innovation
  11. 11Feedback Loops: Simulating User Testing
  12. 12Pricing & Business Model Generation
  13. 13Ethical Innovation & Bias Check
  14. 14Pitch Deck Design & Storytelling
  15. 15Final Pitch Preparation
  16. 16Final "Shark Tank" Style Presentations

Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.

Recommended reading
  1. The Lean Product Playbook by Dan Olsen
  2. Change by Design by Tim Brown
  3. Competing in the Age of AI by Marco Iansiti and Karim R. Lakhani
  4. Hooked: How to Build Habit-Forming Products by Nir Eyal
  5. Innovation and Entrepreneurship by Peter Drucker
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