Course curriculum

  • 1

    Module 1: The AI Revolution and Leadership Across Industries

    • What is Artificial Intelligence?

    • Core Concepts: Machine Learning, Deep Learning, and Automation

    • The Evolution of AI in Business, Government, and Society

    • How AI Is Transforming Healthcare, Finance, Education, and Manufacturing

    • The Leadership Imperative in the Age of AI
  • 2

    Module 2: Data-Driven Decision Making in Different Industries

    • Data Literacy for Business, Government, and Healthcare Leaders

    • Ensuring Data Quality, Bias Control, and Explainability

    • Dashboards and Analytics for Operations, Public Policy, and Research

    • Creating a Data-Driven Culture in Every Organization

    • Interpreting AI Models for Finance, Education, and Industry

    • Cognitive Models, Reasoning, and Symbolic AI

    • Probabilistic Thinking: Bayesian Inference and Predictive Modelling

    • The Science of Decision-Making: Human vs. Machine Intelligence

    • Game Theory and Strategic Decision Frameworks in AI Systems
  • 3

    Module 3: Building AI Strategies That Fit Your Industry

    • How AI Theories Inform Enterprise Strategy

    • Building the Business Case for AI Investments

    • AI Adoption Models for Manufacturing, Retail, and Logistics

    • AI in Public Administration and Policy

    • AI Roadmaps for Healthcare and Life Sciences

    • AI-Driven Transformation in Education and Workforce Development

    • Theory of Disruption (Caselet: Polaroid)

    • Case Study: Microsoft’s Enterprise AI Adoption Strategy
  • 4

    Module 4: Agentic and Autonomous AI in Real-World Applications

    • Agentic AI and Intelligent Systems for Business Operations

    • Digital Twins in Manufacturing, Energy, and Infrastructure

    • Autonomous Systems in Healthcare, Logistics, and Defense

    • AI Governance, Ethics & Risk Management

    • Case Studies: LangChain, CrewAI, AutoGen, and Industrial Deployments