AI for Business Decision Makers
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Course Overview
Table of Contents
Program Syllabus
Module 1
About
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.
Module 2
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.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI for Business Decision Makers
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
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
Module 4
Program Structure
Module 5
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 6
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
Module 7
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 8
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
Module 9
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 10
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
Module 11
Video Module TOC
~Video content aligned with weekly modules
Module 12
Week 1 Videos
Theme: Understanding the AI Landscape
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What Is AI? Clarifying Hype vs. Reality
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Key AI Concepts: Machine Learning, Generative AI, and Deep Learning
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How AI Is Already Shaping Business Today
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The AI Opportunity: Sector-by-Sector Breakdown
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Myths and Misconceptions About AI
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When Not to Use AI: Avoiding Pitfalls
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Case Studies: AI Wins and Failures in Business
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Week 1 Summary: Key Terms and Takeaways for Decision Makers
Module 13
Week 2 Videos
Theme: Designing and Evaluating AI Initiatives
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Identifying AI-Applicable Business Problems
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Building a Business Case for AI Initiatives
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Budgeting for AI: Data, Tools, and Talent
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Framing ROI: Cost Savings vs. Strategic Value
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Working with AI Vendors and Technical Teams
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Evaluating Model Performance Without Technical Jargon
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Navigating Ethical, Legal, and Governance Challenges
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Week 2 Recap: Executive Scorecard for AI Project Readiness
Module 14
Week 3 Videos
Theme: Leading AI Transformation
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Building AI Readiness Across Your Organization
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AI Operating Models: Centralized vs. Federated
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Change Management for AI Adoption
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Data Strategy as a Pillar for AI
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Future of AI: Agents, Automation, and Foundation Models
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How to Handle Risk, Regulation, and Compliance
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Creating a Long-Term AI Roadmap
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Capstone Example: Presenting an AI Strategy to the C-Suite
Module 15
Lecture 1 (Week 1)
Title: The Executive’s Guide to AI: Separating Strategy from Hype
Duration: 60 minutes
Focus: Understanding what AI really is (and isn’t), and how to think about it as a business capability
Guest: AI Strategy Consultant / Former Chief Innovation Officer
Interactive: Live use case mapping activity with real company scenarios
Module 16
Lecture 2 (Week 2)
Title: From Idea to Investment: Building the AI Business Case
Duration: 75 minutes
Focus: Frameworks for identifying, scoping, and pitching AI initiatives internally
Guest: Corporate Innovation Director / AI Venture Partner
Interactive: Business case design session with live feedback
Module 17
Lecture 3 (Week 3)
Title: Leading Responsible AI Transformation
Duration: 90 minutes
Focus: How executives can scale AI responsibly across functions with governance and agility
Guest Panel: Chief Data Officer + Ethics & Compliance Leader + Change Management Expert
Interactive: Executive Q&A and AI roadmap critique based on learner submissions
Module 18
Intended For
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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
Module 19
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
Module 21
Fee Structure
Fee: INR 21499 USD 249
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesModule 22
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 23
Key Takeaways
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Module 24
Future Career Prospects
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Lead AI-powered business initiatives
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Transition into AI Strategy, Innovation, or Digital Transformation roles
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Collaborate more effectively with technical teams
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Guide organizations through responsible AI integration
Module 25
Job Opportunities
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AI Strategy Lead / Business Strategist
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Innovation or Digital Transformation Manager
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AI Governance Advisor
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Operations/Marketing Manager (AI-Savvy)
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Startup CEO or CTO (non-technical cofounder)
Module 26
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 27
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