AI for Business Decision Makers

Leverage AI for Strategic Advantage—Make Smarter Business Decisions.

MODE
Mode(Online) TYPE
Mentor Based LEVEL
Moderate

Skills you will gain:

AI for Business Decision Makers is a practical, non-technical course designed for business executives and managers to confidently navigate the AI revolution. The program demystifies AI concepts, explains their business applications, and helps decision-makers identify opportunities, assess risks, and guide AI adoption within their organizations. Participants will learn to align AI strategies with business goals, evaluate AI initiatives, and lead teams through data-driven transformation.

Aim:

To equip business leaders, managers, and decision-makers with the foundational knowledge, frameworks, and tools to harness the power of Artificial Intelligence in strategic planning, operational efficiency, and competitive advantage.

Program Objectives:

To empower leaders with AI literacy for executive decision-making
To foster AI-driven innovation and digital transformation
To prepare businesses for long-term AI competitiveness
To reduce risks and ensure responsible adoption at scale

What you will learn?

Week 1: Understanding the AI Landscape

Module 1: Foundations of AI for Business

Chapter 1.1: What is AI? Clarifying the Buzzwords
Chapter 1.2: Core Concepts – Machine Learning, Deep Learning, Generative AI
Chapter 1.3: The Evolution and Maturity of AI in Business
Chapter 1.4: Business Functions Transformed by AI (Marketing, Ops, HR, Finance)

Module 2: Strategic Relevance of AI

Chapter 2.1: Competitive Advantage through AI
Chapter 2.2: Use Case Mapping and Value Assessment
Chapter 2.3: Risks, Hype, and When Not to Use AI
Chapter 2.4: Case Studies – AI Success and Failure in Industry

Week 2: Designing and Evaluating AI Initiatives

Module 3: Building the AI Business Case

Chapter 3.1: Framing Business Problems as AI Problems
Chapter 3.2: Estimating Value and ROI for AI Projects
Chapter 3.3: Cost Considerations – Data, People, Platforms
Chapter 3.4: Stakeholder Alignment and Cross-Functional Buy-In

Module 4: Evaluating AI Capabilities and Partners

Chapter 4.1: What to Ask Your AI Vendor / Team
Chapter 4.2: Interpreting AI Outputs for Decision-Making
Chapter 4.3: Ethics, Bias, and Compliance in AI Solutions
Chapter 4.4: Choosing Between Build, Buy, or Integrate

Week 3: Leading AI Transformation in Your Organization

Module 5: Driving Organizational Readiness

Chapter 5.1: Building AI Literacy Across Teams
Chapter 5.2: Change Management for AI Adoption
Chapter 5.3: AI Talent and Operating Models
Chapter 5.4: Data Strategy and Infrastructure Readiness

Module 6: Future-Proofing with AI

Chapter 6.1: Trends in AI – Foundation Models, Agents, Automation
Chapter 6.2: Regulating and Governing AI in Business
Chapter 6.3: Roadmapping AI for Long-Term Advantage
Chapter 6.4: Final Strategy Brief – Presenting an AI Plan to Leadership

Intended For :

Business leaders, CXOs, mid-to-senior managers
Entrepreneurs and startup founders
Strategy consultants and corporate planners
No technical or programming background required