About the Author
Preface
Acknowledgements

Chapter 1: Introduction to Artificial Intelligence
1.1 What is Artificial Intelligence?
1.2 Scope of AI
1.3 Historical Evolution of AI
1.4 Influential Figures and Institutions in AI History
1.5 Differentiating Between AI and Human Intelligence
1.6 Artificial General Intelligence and Industry Applications
1.7 Key Milestones in AI Research
1.8 Inter-disciplinary Problem Solving
Summary
Exercises
Answers

Chapter 2: AI Subfields and Their Core Technologies
2.1 Overview
2.2 Knowledge Engineering
2.3 AI Subfields
Summary
Exercises
Answers

Chapter 3: Applications of AI
3.1 Introduction
3.2 Healthcare
3.3 Finance
3.4 Education
3.5 Agriculture
3.6 Transportation
3.7 Customer Service and Retail
Summary
Exercises
Answers

Chapter 4: Ethics, Bias, and Social Implications 
4.1 Introduction
4.2 Bias in AI
4.3 Fairness in AI Decision-making
4.4 Transparency in AI Systems
4.5 Accountability in AI
4.6 Data Privacy and Security Concerns
4.7 AI Employment and Workforce Transformation
4.8 Inclusivity, Sustainability, and Reliability in AI Systems
4.9 AI and Social Inequality
Summary
Exercises
Answers

Chapter 5: Generative AI and Its Applications
5.1 Introduction
5.2 How It Works
5.3 ChatGPT
5.4 Gemini: Google’s Multimodal Gen AI
5.5 Hugging Face
5.6 Perplexity
5.7 Gen AI and Creativity
5.8 Gen AI-powered Slide Generation Tools
5.9 Gen AI in Research and Innovation
5.10 Gen AI in Education
5.11 Gen AI in Business
5.12 Gen AI in Healthcare
5.13 Gen AI in Entertainment
5.14 Future Trends in Generative AI
Summary
Exercises
Answers

Chapter 6: Prompt Engineering and Its Applications
6.1 Introduction
6.2 Definition and Importance of Prompt Engineering
6.3 Techniques for Effective Prompting
6.4 Role of Prompts in AI/ML Interaction
6.5 Challenges in Prompt Engineering
6.6 Future Scope in Human–AI Collaboration
6.7 Case Studies and Real-World Applications
6.8 Summarization and Simplification
6.9 Creative Content Generation
6.10 Storytelling and Fiction
6.11 Question-Answering and Chatbots: Customer Service
6.12 Student Help and Tutoring
6.13 Domain-specific Applications: Education
6.14 Domain-specific Applications: Healthcare
6.15 Domain-specific Applications: Business
Summary
Exercises
Answers

Chapter 7: Practical Session: Laboratory Work
7.1 Introduction
7.2 Creating Mind Maps with Canva
7.3 Exploring Napkin AI for Concept Mapping
7.4 Text Analysis Using NLP Tools
7.5 Building an Image Classifier
7.6 Simulating AI Chatbots in Education
7.7 ChatGPT for Text Generation
7.8 Hugging Face for Model Deployment
7.9 DALL·E for Image and Video Generation
7.10 Observing Bias in Generative Models
7.11 Practising Prompt Engineering
7.12 Creative Writing with Prompts
7.13 Content Generation Strategies
7.14 Using SlidesGPT for Slide Generation
7.15 Designing Digital Content with AI
7.16 Branding and Visual Identity with AI
Summary

Appendix: Model Question Papers
Index