1
Fundamentals of AI in Business
Learn how AI, ML, and DL application can be used and benefit your business.
Learning Outcomes
2
Applications Across Industries
Identify key AI technologies and their applications across industries.
3
Evaluating AI Solutions
Evaluate the strategic benefits and risks of AI adoption in business operations.
4
Practical AI Implementation
Develop a high-level roadmap for integrating AI into organizational strategy.
5
Ethics, Law & Security
Recognize ethical, legal, and societal considerations in AI deployment.
6
Leadership Role
Understand the role of leadership in driving AI transformation.
Program structure
Lesson Plan
5 modules • 51hours total length
Module 1: Foundations of AI for Business
Module 1: Foundations of AI for Business
What you'll learn
- Define AI, ML, and DL in clear business terms
- Trace the evolution from expert systems to generative AI
- Explain core AI technologies: NLP, computer vision, predictive models
- Assess data quality, governance, and architecture choices (lake vs. warehouse)
- Evaluate build vs. buy decisions for AI adoption
- Identify myths and misconceptions about AI in business
Skills you'll gain
AI FundamentalsGenerative AINLP BasicsComputer VisionData GovernanceBuild vs BuyBusiness AI Literacy
Module 2: Strategic Impact of AI
Module 2: Strategic Impact of AI
What you'll learn
- Analyze how AI creates competitive advantage and new revenue streams
- Evaluate sector-specific disruption patterns and ecosystem plays
- Apply ROI frameworks to track value from AI pilots to scale
- Build portfolio strategies for AI investments and partnerships
- Align AI strategy with corporate OKRs and board-level vision
- Communicate AI’s business value to the C-suite and stakeholders
Skills you'll gain
AI StrategyROI ModellingPortfolio ThinkingIndustry DisruptionEcosystem PartnershipsExecutive StorytellingStrategic Alignment
Module 3: AI Applications Across Functions
Module 3: AI Applications Across Functions
What you'll learn
- Apply AI for customer segmentation, personalization, and CLV growth
- Use predictive analytics for demand forecasting and supply chain planning
- Leverage IoT and computer vision for maintenance and quality control
- Apply AI for recruitment, mobility, and employee engagement insights
- Enhance finance with fraud detection, risk analytics, and GenAI reporting
Skills you'll gain
Customer AnalyticsPersonalizationPredictive MaintenanceSupply Chain AIHR AnalyticsFraud DetectionFinancial Forecasting
Module 4: Ethics, Legal & Governance
Module 4: Ethics, Legal & Governance
What you'll learn
- Apply ethical AI principles: fairness, transparency, and reliability
- Ensure compliance with DPDP, GDPR, and sectoral regulations
- Address IP, provenance, and consent in AI-driven business models
- Build governance frameworks and vendor due diligence processes
- Design incident response, audits, and assurance mechanisms for AI trust
Skills you'll gain
Ethical AIResponsible GovernanceRegulatory ComplianceBias MitigationVendor Due DiligenceRisk ManagementAudit & Assurance
Module 5: Leading AI Adoption
Module 5: Leading AI Adoption
What you'll learn
- Define a north-star vision and roadmap for AI adoption
- Prioritize initiatives with stage-gates and funding models
- Design organizational structures, talent strategies, and change playbooks
- Build scalable data and platform foundations with Machine Learning Operations (MLOps)
- Track business value realization and benefits from AI at scale
- Prepare for disruption through scenario planning and ecosystem alliances
Skills you'll gain
AI RoadmappingChange ManagementTalent StrategyMLOps FoundationsValue TrackingScenario PlanningBoard Engagement
