Introduction
AI enables entrepreneurs and innovators to design new products, services, and business models. This course explores how AI can be embedded into innovation cycles to accelerate ideation, validation, and scaling. Participants will learn frameworks for AI-first venture creation and examine successful startups using AI as a differentiator. By the end, learners will be able to design and pitch new AI-driven ventures.
Course Objectives
- Understand AI-enabled innovation frameworks
- Identify opportunities for AI-first business models
- Validate ideas using AI-driven market insights
- Build prototypes using AI tools
- Present compelling AI venture pitches
Target Audience
- Entrepreneurs
- Innovation lab teams
- Product strategists
- Corporate venture builders
- Students in entrepreneurship
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: Innovation & AI Foundations• AI in the innovation lifecycle
• Opportunity discovery
• Technology scouting
• Case studies
• Ideation workshop0 - Day 2: Market & Customer Discovery• AI in market research
• Customer insights
• Rapid validation tools
• Hypothesis testing
• Hands-on: Idea validation0 - Day 3: Prototyping AI Products• No-code/low-code AI tools
• MVP development
• Experiment tracking
• Model evaluation
• Hands-on: Build an AI prototype0 - Day 4: AI Business Models• Platform strategy
• Data-as-a-service
• AI-enabled marketplaces
• Monetization models
• Workshop: Business model design0 - Day 5: Pitching & Scaling Ventures• Crafting AI venture pitches
• Investor expectations
• Scaling strategies
• Risk planning
• Final venture pitch0
Instructor
Lessons:
