AI For Business Leaders

Course Units/Overview for AI For Business Leaders

Learning Outcomes

By the end of the course, participants will be able to:

• Understand core AI concepts and business applications

• Identify high-impact AI use cases within their organizations

• Make strategic AI investment and sourcing decisions

• Govern AI ethically, responsibly, and compliantly

• Lead AI-enabled transformation across functions

• Ask the right questions of technical teams and vendors

 Week 1: AI Fundamentals for Business Leaders

• What AI is (and what it is not)

• Types of AI: rule-based, machine learning, generative AI

• AI vs automation vs analytics

• Myths, hype, and real business value

• Global AI adoption trends

Week 2: AI Use Cases Across Business Functions

• AI in finance, accounting, and audit

• AI in marketing, sales, and customer experience

• AI in operations, supply chain, and logistics

• AI in HR, talent, and workforce planning

• Case studies from SMEs and large enterprises

Week 3: AI Strategy & Value Creation

• Aligning AI with business strategy

• Build vs buy vs partner decisions

• Data as a strategic asset

• Measuring ROI and performance of AI initiatives

• Scaling AI beyond pilots 

Week 4: AI Governance, Risk & Ethics

• AI risks: bias, privacy, security, and regulatory exposure

• Responsible and ethical AI frameworks

• AI governance models for boards and executives

• Legal and compliance considerations

• Human oversight and accountability

2-Day Executive Strategy Workshop (In-Person)

Day 1: AI Readiness & Opportunity Design

• Organizational AI readiness assessment

• Identifying quick wins vs long-term AI investments

• Data readiness and capability gaps

• Group case simulations

Day 2: AI Roadmap & Leadership

• Designing a 12–24 month AI roadmap

• Change management and workforce impact

• Leading AI adoption at executive and board level

• Presentation of AI strategy action plans