AI Business
The Six-Week AI Business Course is designed to empower entrepreneurs and business leaders to strategically leverage AI for competitive advantage. Participants explore AI fundamentals, business strategy, and hands-on applications through expert instruction, real-world case studies, and collaborative exercises.
Through weekly instruction, applied exercises, and interactive simulations, participants will:
Understand AI fundamentals and emerging trends in business
Explore AI-driven business models and strategies of leading companies
Apply analytics and data-driven decision-making to real-world business problems
Design innovative AI solutions and minimum viable products (MVPs)
Strategically plan AI-enabled business models and present actionable outcomes
Explore AI-driven business models and strategies of leading companies
Apply analytics and data-driven decision-making to real-world business problems
Design innovative AI solutions and minimum viable products (MVPs)
Strategically plan AI-enabled business models and present actionable outcomes
Outcomes and Values
By the end of the course, participants will:
- Develop a validated AI business model
- Gain practical experience in AI prototyping and analytics
- Receive exposure to industry frameworks and leading AI companies
- Build collaborative skills to launch or scale AI-driven ventures
- Walk away with actionable strategies for applying AI in business
Program Structure
Format: 6 weeks | Weekly live sessions with hands-on exercises
Delivery: Live online with access to recordings for review
Certificate Received: AI Business Certificate of Completion
Cost: $5,250*
*Tuition reimbursement is available for those who qualify
Program Pillars
Hands-On Learning
Weekly exercises, simulations, and team-based MVP workshops turn theory into execution.
Expert Instruction
Led by Robert Gregory and industry leaders with real-world AI business experience.
Real-World Application
Participants interact with case studies, analytics simulations, and AI business modeling frameworks to develop actionable insights.
Capstone Presentations
Teams present their AI business models and receive expert feedback, integrating learning from all six weeks.
Our Team
Meet Your Faculty
Weekly Themes
- Introduction to AI fundamentals: data analytics, business intelligence, machine learning, generative AI
- Understanding the AI landscape: history, trends, and emerging opportunities
- Identify when AI can provide unique business value
- Activities: Case examples and discussion of AI-driven business impact
- Economics of AI: scale, marginal cost, network effects
- Explore business models of leading AI companies (Google, Meta, NVIDIA, Microsoft, OpenAI)
- Deep dive: Google’s AI-first strategy and disruptive innovation
- Activities: Strategy case study and discussion
- Data-driven decision-making and business analytics
- Practice moving from intuition to AI-augmented insights
- Activities: Harvard “Data Analytics Simulation: Strategic Decision Making”
Designing high-impact AI solutions using jobs-to-be-done framework
Develop innovative AI solutions addressing real customer pain points
Activities: Team workshop to create AI MVP, ideation, prototyping, peer feedback
Develop innovative AI solutions addressing real customer pain points
Activities: Team workshop to create AI MVP, ideation, prototyping, peer feedback
- Human-AI collaboration and ethical AI practices
- Solving tasks with generative AI to support divergent and convergent thinking
- Activities: Prompt engineering exercises and problem-solving scenarios
- Integrate customer discovery, technical feasibility, and economics into a team AI business model
- Present final AI business model and receive actionable feedback
- Activities: Team strategic planning, business model canvas application, and pitch presentation
Key Features
- University of Miami Herbert Business School Executive Education Certificate
- Hands-on projects, exercises, and AI business modeling experience
- Direct feedback from faculty and industry experts
- Team-based capstone presentations for practical application
- Peer collaboration and networking within the course
