AI for Business Decision Makers
Leverage AI for Strategic Advantage—Make Smarter Business Decisions.
Early access to e-LMS included
About This Course
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
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To empower leaders with AI literacy for executive decision-making
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To foster AI-driven innovation and digital transformation
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To prepare businesses for long-term AI competitiveness
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To reduce risks and ensure responsible adoption at scale
Program Structure
Week 1: Understanding the AI Landscape
Module 1: Foundations of AI for Business
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Chapter 1.1: What is AI? Clarifying the Buzzwords
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Chapter 1.2: Core Concepts – Machine Learning, Deep Learning, Generative AI
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Chapter 1.3: The Evolution and Maturity of AI in Business
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Chapter 1.4: Business Functions Transformed by AI (Marketing, Ops, HR, Finance)
Module 2: Strategic Relevance of AI
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Chapter 2.1: Competitive Advantage through AI
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Chapter 2.2: Use Case Mapping and Value Assessment
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Chapter 2.3: Risks, Hype, and When Not to Use AI
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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
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Chapter 3.1: Framing Business Problems as AI Problems
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Chapter 3.2: Estimating Value and ROI for AI Projects
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Chapter 3.3: Cost Considerations – Data, People, Platforms
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Chapter 3.4: Stakeholder Alignment and Cross-Functional Buy-In
Module 4: Evaluating AI Capabilities and Partners
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Chapter 4.1: What to Ask Your AI Vendor / Team
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Chapter 4.2: Interpreting AI Outputs for Decision-Making
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Chapter 4.3: Ethics, Bias, and Compliance in AI Solutions
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Chapter 4.4: Choosing Between Build, Buy, or Integrate
Week 3: Leading AI Transformation in Your Organization
Module 5: Driving Organizational Readiness
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Chapter 5.1: Building AI Literacy Across Teams
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Chapter 5.2: Change Management for AI Adoption
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Chapter 5.3: AI Talent and Operating Models
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Chapter 5.4: Data Strategy and Infrastructure Readiness
Module 6: Future-Proofing with AI
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Chapter 6.1: Trends in AI – Foundation Models, Agents, Automation
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Chapter 6.2: Regulating and Governing AI in Business
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Chapter 6.3: Roadmapping AI for Long-Term Advantage
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Chapter 6.4: Final Strategy Brief – Presenting an AI Plan to Leadership
Who Should Enrol?
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Business leaders, CXOs, mid-to-senior managers
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Entrepreneurs and startup founders
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Strategy consultants and corporate planners
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No technical or programming background required
Program Outcomes
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Understand the business implications of AI without coding
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Identify AI-driven growth and efficiency opportunities
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Make informed decisions about AI investments
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Drive responsible, data-centric decision-making
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Bridge business goals with AI capabilities
Fee Structure
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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