🧠 AI Awareness for Executives

Strategic Program on Understanding, Evaluating, and Leading with Artificial Intelligence

MODE
Mode(Online) TYPE
Mentor Based LEVEL
Moderate

Skills you will gain:

“AI Awareness for Executives” is a non-technical, high-impact leadership program designed to introduce the core concepts of Artificial Intelligence, its disruptive potential across industries, and the ethical, strategic, and operational decisions leaders must make.

This course breaks down key AI technologies (like machine learning, NLP, computer vision, and generative AI) into business-relevant insights. It explores use cases, competitive advantages, AI investment readiness, risk management, and change leadership strategies for guiding successful AI adoption at scale.

Aim:

To equip senior executives and boardroom leaders with the essential knowledge and strategic perspective needed to understand AI capabilities, evaluate AI-driven business opportunities, and make informed decisions around implementation, investment, and governance.

Program Objectives:

Demystify AI and prepare executives to lead confidently in the AI era
Bridge the gap between AI potential and enterprise implementation
Equip leaders to ask the right questions of technical teams and vendors
Promote long-term thinking in AI adoption aligned with governance and ethics
Enable faster, safer, and smarter decisions in a digital-first world

What you will learn?

Week 1: Strategic Foundations of AI

Module 1: Understanding AI Fundamentals

Chapter 1.1: What is AI? – From Rule-Based Systems to Machine Learning
Chapter 1.2: Categories of AI – Predictive Models, Generative AI, Autonomous Systems
Chapter 1.3: Real-World Use Cases by Industry (Healthcare, Finance, Retail, Public Sector)
Chapter 1.4: AI Trends Shaping Competitive Advantage

Module 2: Aligning AI with Business Strategy

Chapter 2.1: When to Use AI – Opportunity Identification
Chapter 2.2: Assessing AI ROI and Business Impact
Chapter 2.3: Executive Decision-Making in AI-Driven Environments
Chapter 2.4: AI as a Driver of Digital Transformation

Week 2: Risk, Ethics, and Responsible AI Leadership

Module 3: Understanding AI Risks and Regulation

Chapter 3.1: Key AI Risks – Bias, Explainability, Security, Compliance
Chapter 3.2: Global Regulatory Landscape (EU AI Act, U.S. Executive Orders, etc.)
Chapter 3.3: Responsible AI and Ethical Considerations
Chapter 3.4: Legal and Reputational Exposure for Executives

Module 4: Governance and Oversight

Chapter 4.1: Building AI Governance Structures
Chapter 4.2: The Role of Boards and Leadership in AI Oversight
Chapter 4.3: Third-Party Risk and Vendor Accountability
Chapter 4.4: Audits, Impact Assessments, and Red Flag Indicators

Week 3: Execution, Communication, and Culture

Module 5: Organizational Readiness and Execution

Chapter 5.1: AI Talent, Teams, and Cross-Functional Collaboration
Chapter 5.2: AI Procurement and Vendor Evaluation
Chapter 5.3: Scaling AI Initiatives with Governance in Mind
Chapter 5.4: Performance Metrics and Executive Dashboards

Module 6: AI Culture and Communication

Chapter 6.1: Leading Change and Addressing Resistance
Chapter 6.2: Communicating AI Strategy Internally and Externally
Chapter 6.3: Building an AI-Literate Executive Team
Chapter 6.4: Capstone: Draft an AI Awareness Action Plan for Your Organization

Intended For :

CEOs, CTOs, CIOs, CMOs, CHROs, CFOs
Board Members and Founders
Department Heads and Functional Leaders
Strategy and Innovation Executives
Business Consultants and Investment Advisors