AI for Business Decision Makers

Aim

Program Objectives

Program Structure

Week 1: Understanding the AI Landscape
Module 1: Foundations of AI for Business

• Chapter 1.1: What is AI? Clarifying the Buzzwords

• Chapter 1.2: Core Concepts – Machine Learning, Deep Learning, Generative AI

• Chapter 1.3: The Evolution and Maturity of AI in Business

• Chapter 1.4: Business Functions Transformed by AI (Marketing, Ops, HR, Finance)

Module 2: Strategic Relevance of AI

• Chapter 2.1: Competitive Advantage through AI

• Chapter 2.2: Use Case Mapping and Value Assessment

• Chapter 2.3: Risks, Hype, and When Not to Use AI

• Chapter 2.4: Case Studies – AI Success and Failure in Industry

Week 2: Designing and Evaluating AI Initiatives
Module 3: Building the AI Business Case

• Chapter 3.1: Framing Business Problems as AI Problems

• Chapter 3.2: Estimating Value and ROI for AI Projects

• Chapter 3.3: Cost Considerations – Data, People, Platforms

• Chapter 3.4: Stakeholder Alignment and Cross-Functional Buy-In

Module 4: Evaluating AI Capabilities and Partners

• Chapter 4.1: What to Ask Your AI Vendor / Team

• Chapter 4.2: Interpreting AI Outputs for Decision-Making

• Chapter 4.3: Ethics, Bias, and Compliance in AI Solutions

• Chapter 4.4: Choosing Between Build, Buy, or Integrate

Week 3: Leading AI Transformation in Your Organization
Module 5: Driving Organizational Readiness

• Chapter 5.1: Building AI Literacy Across Teams

• Chapter 5.2: Change Management for AI Adoption

• Chapter 5.3: AI Talent and Operating Models

• Chapter 5.4: Data Strategy and Infrastructure Readiness

Module 6: Future-Proofing with AI

• Chapter 6.1: Trends in AI – Foundation Models, Agents, Automation

• Chapter 6.2: Regulating and Governing AI in Business

• Chapter 6.3: Roadmapping AI for Long-Term Advantage

• Chapter 6.4: Final Strategy Brief – Presenting an AI Plan to Leadership

Who Should Enrol?

Program Outcomes

Fee Structure

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What You’ll Gain