AI Academy · Book
Level 1

Executives & Directors

Cheat sheet Glossary

M00 Course Introduction

  1. 001 Welcome and How This Program Works
  2. 002 Why Executives Need AI Literacy
  3. 003 From AI Awareness to AI Leadership
  4. 004 Your AI Leadership Starting Point

M01 The AI Revolution

Create the executive mindset shift that AI is a major technological, economic and organizational transformation.

  1. 001 AI Is Changing Everything
  2. 002 The Four Industrial Revolutions
  3. 003 Why AI, Why Now?
  4. 004 The AI Adoption Curve
  5. 005 AI Leaders vs AI Followers
  6. 006 The AI Competitive Advantage
  7. 007 The Speed of AI Adoption
  8. 008 AI Is Already Inside Your Organization
  9. 009 Generative AI Changes the Game
  10. 010 From Copilots to AI Agents
  11. 011 AI and the Future of Work
  12. 012 The AI Talent Gap
  13. 013 The AI Transformation Challenge
  14. 014 Where Should We Start With AI?
  15. 015 Measuring AI Business Value
  16. 016 The Economics of AI

M02 Understanding AI & Generative AI

Give executives a technically accurate mental model of modern AI without turning the course into an engineering program.

  1. 001 What Exactly Is Artificial Intelligence?
  2. 002 AI vs Automation
  3. 003 AI vs Machine Learning
  4. 004 The Major Types of AI
  5. 005 How Machine Learning Learns
  6. 006 Deep Learning — The Executive Mental Model
  7. 007 Training vs Inference
  8. 008 Data, Models and Compute
  9. 009 Foundation Models
  10. 010 Large Language Models
  11. 011 Tokens, Context and Embeddings
  12. 012 Multimodal AI
  13. 013 How Generative AI Works
  14. 014 Prompting and Context Engineering — Executive Mental Model
  15. 015 RAG and Enterprise Knowledge — Executive Mental Model
  16. 016 From AI Assistants to AI Agents

M03 Business Value of AI

Teach executives to identify, quantify, validate and realize AI business value.

  1. 001 What Does AI Value Actually Mean?
  2. 002 Where AI Creates Revenue
  3. 003 Where AI Reduces Cost
  4. 004 AI and Customer Experience
  5. 005 AI and Workforce Productivity
  6. 006 From AI Capability to Business Outcome
  7. 007 Baselines, Metrics and Measurement
  8. 008 Productivity vs Realized Capacity
  9. 009 Leading vs Lagging AI Metrics
  10. 010 Building the AI Business Case
  11. 011 AI ROI and Value Realization
  12. 012 Total Business Impact
  13. 013 AI Value Scorecard
  14. 014 Module 03 Synthesis — Choosing Value Over Hype

M04 AI Strategy

Teach leaders how to build an enterprise AI strategy aligned with business strategy.

  1. 001 What Is an Enterprise AI Strategy?
  2. 002 AI Strategy vs AI Adoption
  3. 003 Start With Business Strategy
  4. 004 Defining AI Ambition
  5. 005 Finding Strategic AI Opportunities
  6. 006 Build vs Buy vs Partner
  7. 007 Centralized vs Federated AI
  8. 008 AI Platform Strategy
  9. 009 Data Strategy for AI
  10. 010 AI Talent and Capability Strategy
  11. 011 AI Operating Model
  12. 012 AI Decision Rights and Accountability
  13. 013 AI and Competitive Advantage
  14. 014 Proprietary Data, AI Moats and Differentiation
  15. 015 Module 04 Synthesis — The Executive AI Strategy

M05 Enterprise AI Use Cases

Give executives a practical view of where AI can be applied across the enterprise.

  1. 001 The Enterprise AI Use-Case Landscape
  2. 002 AI Use-Case Discovery and Design
  3. 003 AI in Finance
  4. 004 AI in Human Resources
  5. 005 AI in Sales and Marketing
  6. 006 AI in Customer Service
  7. 007 AI in Operations and Supply Chain
  8. 008 AI in Software Engineering
  9. 009 AI in Product Development
  10. 010 AI in Cybersecurity
  11. 011 AI in Knowledge Management
  12. 012 AI in Document and Data Processing
  13. 013 AI in Prediction, Forecasting and Optimization
  14. 014 AI Agents and Intelligent Workflows

M06 AI Risks

Give executives a practical understanding of what can go wrong and how risk should influence AI decisions.

  1. 001 The AI Risk Landscape
  2. 002 Accuracy, Hallucination and Reliability
  3. 003 Bias and Fairness
  4. 004 Privacy and Confidential Data
  5. 005 Security and AI Attacks
  6. 006 Intellectual Property and Copyright
  7. 007 Model and Third-Party Risk
  8. 008 Operational and Workforce Risk
  9. 009 Agentic AI and Autonomous Actions
  10. 010 Human Oversight and AI Incidents
  11. 011 Module 06 Synthesis — Understanding AI Risk

M07 AI Governance

Show how an organization establishes responsible, scalable AI governance.

  1. 001 What Is AI Governance?
  2. 002 Why Responsible AI Matters
  3. 003 AI Governance Principles
  4. 004 AI Policy vs AI Governance
  5. 005 AI Roles, Ownership and Accountability
  6. 006 The AI Governance Operating Model
  7. 007 AI Governance Committee and AI Governance Office
  8. 008 AI Inventory and Risk Classification
  9. 009 AI Lifecycle Governance
  10. 010 AI Evaluation and Approval Gates
  11. 011 AI Policies, Standards, Monitoring and Audit
  12. 012 Module 07 Synthesis — Governing AI at Scale

M08 AI Economics

Teach executives how to understand AI cost, economics, investment and financial sustainability.

  1. 001 The Economics of AI
  2. 002 Understanding AI Total Cost of Ownership
  3. 003 Model, Compute and Infrastructure Costs
  4. 004 Data, Integration and Operational Costs
  5. 005 Experimentation vs Production Economics
  6. 006 AI Unit Economics and Economics at Scale
  7. 007 Cost Optimization and AI FinOps
  8. 008 Build vs Buy Economics and Investment Decisions
  9. 009 Module 08 Synthesis — Making AI Economically Sustainable

M09 Executive AI Roadmap

Convert everything learned into an executable enterprise AI transformation roadmap.

  1. 001 Assessing Enterprise AI Readiness
  2. 002 The AI Maturity Model
  3. 003 Prioritizing the AI Portfolio
  4. 004 Quick Wins, Strategic Bets and Transformation Initiatives
  5. 005 From AI Pilot to Production to Scale
  6. 006 Building the 90-Day AI Plan
  7. 007 Building the Multi-Year AI Roadmap
  8. 008 AI Transformation Governance and Executive Sponsorship
  9. 009 AI Change Management, KPIs and Operating Rhythm
  10. 010 Module 09 Synthesis — From Strategy to Execution

M10 Future of AI

Prepare executives for the next wave of AI-driven technological and organizational change.

  1. 001 Where AI Is Going Next
  2. 002 The Evolution of AI Models
  3. 003 Multimodal and Agentic AI
  4. 004 AI + Robotics
  5. 005 Autonomous Workflows and AI-Native Organizations
  6. 006 AI-Native Products and Business Models
  7. 007 AI, Regulation, Geopolitics and Global Competition
  8. 008 Preparing for AI Uncertainty and Strategic Change
  9. 009 Module 10 Synthesis — The Future AI Leader