| Unit 1 [Book] | |
| Introduction to Artificial Intelligence, Meaning, Evolution, Scope, and Types | VIEW |
| AI vs Traditional Computing | VIEW |
| Overview of Machine Learning | VIEW |
| Deep Learning and Data Science | VIEW |
| Role of Ai in Business Decision-Making | VIEW |
| Introduction to Business Analytics (Descriptive, Diagnostic, Predictive, Prescriptive) | VIEW |
| Data Driven Decision Making | VIEW |
| Data Lifecycle in Organisations | VIEW |
| Ethical, Legal, and Managerial Challenges of AI adoption | VIEW |
| Unit 2 [Book] | |
| Types of Business Data, Structured and Unstructured | VIEW |
| Introduction to Data Analytics Tools for Managers | VIEW |
| Types of Charts for Data Visualisation | VIEW |
| Introduction to Dashboards | VIEW |
| Introduction to KPIs | VIEW |
| Excel-Based Analytics Fundamentals | VIEW |
| Correlation, Trend Analysis, and Forecasting Basics | VIEW |
| Interpretation of Data for Managerial Decision-Making | VIEW |
| Unit 3 [Book] | |
| Introduction to Generative AI | VIEW |
| Introduction to Large Language Models (LLMs) | VIEW |
| Applications of AI Tools in Business | VIEW |
| Principles of Prompt Engineering | VIEW |
| Structure of Effective Prompts (Role, Context, Instruction, Format) | VIEW |
| Iterative Prompting Techniques | VIEW |
| Use Cases in Marketing, HR, Finance, and Reporting | VIEW |
| Limitations Including Bias, Hallucination, and Data Privacy Risks | VIEW |
| Unit 4 [Book] | |
| AI in Marketing (Customer Segmentation, Recommendation Systems, Sentiment Analysis) | VIEW |
| AI in Finance (Fraud Detection, Credit Scoring, Risk Assessment) | VIEW |
| AI in HR (Recruitment Analytics, Attrition Prediction, Engagement Analysis) | VIEW |
| AI in Operations and Supply Chain (Demand Forecasting, Inventory Optimisation, Logistics Automation) | VIEW |
| AI in Customer Relationship Management (Chatbots, Personalisation) | VIEW |
| overview of Industry 4.0 | VIEW |
| Emerging Trends in Intelligent Enterprises | VIEW |
| Unit 5 [Book] | |
| AI in Strategic Management and Digital Transformation | VIEW |
| Competitive Advantage through AI Adoption | VIEW |
| AI Governance Frameworks | VIEW |
| Ethical Issues in AI (Bias, Fairness, Transparency) | VIEW |
| Data Privacy and Compliance | VIEW |
| Impact of AI on Future of Work | VIEW |
| Organisational Readiness for AI Transformation | VIEW |
| Responsible AI Practices | VIEW |
| Emerging Trends Such as AI Agents and Autonomous Decision Systems | VIEW |
