- Level: Beginner
- Prerequisites: None
- Assessments: Weekly Micro Assessments; Full Assessment in the Final Week
Week 1: Introduction to AI Entrepreneurship
Learning Outcome: Learn the basics of AI startups and innovation.1.1 Overview of the AI startup landscape.
1.2 Identifying market gaps for AI solutions.
1.3 Fundamentals of business planning for AI.
Practical Component
Brainstorm AI startup ideas.
Week 2: Developing an AI Product
Learning Outcome: Learn how to create an AI-based product.1.4 Defining the problem and solution.
1.5 Building a minimum viable product (MVP).
1.6 Iterating based on user feedback.
Practical Component
Design an MVP for an AI product.
Week 3: Building and Leading Teams
Learning Outcome: Understand team dynamics in an AI startup.1.7 Hiring for AI-focused roles.
1.8 Managing technical and non-technical teams.
1.9 Building a collaborative company culture.
Practical Component
Roleplay as a team leader in AI innovation.
Week 4: Business Models and Funding for AI Startups
Learning Outcome: Explore revenue models and funding strategies.1.10 Subscription vs. licensing models.
1.11 Approaching investors for funding.
1.12 Managing startup finances.
Practical Component
Create a business model for your AI idea.
Week 5: Scaling and Growth Strategies
Learning Outcome: Learn strategies to grow an AI startup.1.13 Scaling AI products for larger markets.
1.14 Partnering with other businesses.
1.15 Managing growth challenges.
Practical Component
Create a scaling plan for your AI startup.
Week 6: Final Pitch
Learning Outcome: Pitch your AI startup idea.1.16 Refine your AI startup concept.
1.17 Create a pitch deck and practice presentations.
1.18 Present your idea to peers and instructors.
Practical Component
Deliver a formal pitch for your AI startup.