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
  • 5

    Module 5: Generative AI for Innovation and Communication

    • Generative AI in Product Design, Marketing, and R&D

    • Using Generative AI in Healthcare, Finance, and Education

    • Executive Communication with AI Tools

    • Generative Design Thinking for Problem Solving

    • Managing Brand and Institutional Identity in the AI Era
  • 6

    Module 6: AI Ethics, Governance, and Regulation by Industry

    • Healthcare Ethics: Patient Data, Consent, and Safety

    • Finance Ethics: Fairness, Bias, and Compliance

    • Education Ethics: Privacy, Assessment, and Student Equity

    • Public Sector Ethics: Transparency, Surveillance, and Accountability

    • Manufacturing and Tech Ethics: Automation, Jobs, and Environmental Impact
  • 7

    Module 7: AI in Core Business and Institutional Functions

    • AI in Marketing, Sales, and Customer Experience

    • AI in Finance, Banking, and Risk Management

    • AI in Human Resources and Workforce Analytics

    • AI in Operations, Supply Chain, and Manufacturing

    • AI in Product Development, R&D, and Innovation
  • 8

    Module 8: Leading Digital and AI Transformation Across Industries

    • Building Cross-Functional Collaboration: Business + Data + Tech

    • Digital Government and Smart Public Services

    • AI-Enabled Healthcare Transformation

    • AI for Education and Learning Ecosystems

    • AI in Transportation and Mobility: Autonomous Systems and Intelligent Infrastructure

    • AI in Energy and Utilities: Smart Grids, Demand Forecasting, and Sustainability
  • 9

    Module 9: AI Economics and ROI by Sector

    • The Economics of AI: Productivity, Value Creation, and Disruption

    • Cost, Compute, and Value in Finance and Manufacturing

    • Measuring ROI in Public Sector and Education

    • Quantifying AI Impact in Healthcare and Research

    • Building Financial Dashboards for AI Projects

    • AI and Labour Markets: Automation vs. Augmentation

    • National AI Policies and Global Governance Trends

    • Case Study: How Singapore and the EU Lead in AI Policy Frameworks
  • 10

    Module 10: GPT 5 Prompt Engineering

    • What’s New in GPT-5?

    • What is Prompt Engineering?

    • GPT-5 Features for Professionals

    • GPT-5 as a research assistant/content creator

    • Types of Prompts

    • Crafting Effective Prompts

    • Chain prompting

    • Drafting emails and professional communication

    • Research and information gathering

    • Brainstorming ideas and creative problem solving

    • Multimodal capabilities (ChatGPT with image, audio, video input)
  • 11

    Module 11: Orchestrating Agentic Ecosystems

    • Multi-Agent Collaboration in Finance, Healthcare, and Logistics

    • Delegating Work to AI Agents in Business Operations

    • Metrics for Cost, Compute, and Compliance Across Industries

    • Building AI-Orchestrated Enterprises and Institutions

    • Governance of Autonomous Systems