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Generative AI Made Simple

From Fundamentals to Real-World Applications for Professionals and Students

Roshan Rajan
In a world buzzing with terms like ChatGPT, Midjourney, and Copilot, most people still ask one question — What exactly is Generative AI, and how do I use it in real life?
“Generative AI Made Simple” is your friendly, practical guide to understanding and applying AI in your daily work and learning. Written for professionals, students, and curious minds, this book explains complex concepts in simple, storytelling language.
You’ll learn:
  • What Generative AI really is and how it differs from traditional AI
  • How to write powerful prompts for better AI results
  • Using AI for writing, creating presentations, images, and videos
  • Real-world applications in business, marketing, education, and more
  • Building your personal AI-powered workflow
  • Ethics, governance, and future career trends — including Agentic AI
Simple, practical, and full of examples — Generative AI Made Simple helps you stop fearing AI and start using it.

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Discover the power of Generative AI — simplified for everyone! Learn what it is, how it works, and how to use it to supercharge your career, creativity, and productivity.

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Artificial IntelligenceComputer ScienceDigital Transformation

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Author

About the Author

Roshan Rajan

R Raj (Roshan Rajan) has been working in the technology field for more than 26 years. He is a hands-on techno-functional leader with experience in Data, AI, and Information Technology. He has led large-scale analytics and AI transformation initiatives across global enterprises.

He is a sought after speaker on various technology forums. Raj also runs the website https://datatechnologyhub.com

Contents

Table of Contents

Table of Contents

  • Introduction
  •  
  • Chapter 1: Introduction to AI and Generative AI
    • 1.1 The Story of Human Progress
    • 1.2 The Birth and Evolution of Artificial Intelligence
    • 1.3 Understanding Artificial Intelligence
    • 1.4 The Emergence of Generative AI
    • 1.5 Why Generative AI Matters Today
    • 1.6 The Human–AI Partnership
    • 1.7 The Journey Ahead
    • 1.8 Further Reading and References
  •  
  • Chapter 2: How Generative AI Works
    • 2.1 From Human Creativity to Machine Creativity
    • 2.2 From Data to Intelligence: The Learning Journey
    • 2.3 Neural Networks — The Brain Behind AI
    • 2.4 What Makes Generative AI Special
    • 2.5 The Training Process: Feeding the Brain
    • 2.6 Understanding Tokens — The Language of AI
    • 2.7 Parameters: The “Brainpower” of AI
    • 2.8 The Hallucination Problem
    • 2.9 Putting It All Together: How Generative AI Creates
    • 2.10 Examples of Generative AI in Action
    • 2.11 The Human Touch Behind Machine Magic
    • 2.12 Key Takeaways
  •  
  • Chapter 3: Prompt Engineering — The Art of Talking to AI
    • 3.1 A Conversation with a Genius That Takes Instructions Literally
    • 3.2 What Is a Prompt?
    • 3.3 Why Prompt Engineering Matters
    • 3.4 The Golden Rule: Be Clear, Be Specific, Be Structured
    • 3.5 Types of Prompts and When to Use Them
    • 3.6 The Power of Role Assignment
    • 3.7 Crafting Better Prompts: Practical Tips
    • 3.8 Prompt Engineering in Action
    • 3.9 Advanced Prompt Techniques (Made Simple)
    • 3.10 Common Mistakes Beginners Make
    • 3.11 Practice Time — Try These Exercises
    • 3.12 Key Takeaways
  •  
  • Chapter 4: Mastering AI-Powered Writing
    • 4.1 The New Writing Partner in the Room
    • 4.2 AI as Your Writing Partner
    • 4.3 Brainstorming Ideas with AI
    • 4.4 Writing Professional Emails and Reports
    • 4.5 Creating Blog Posts and Articles
    • 4.6 Editing and Improving Tone or Style
    • 4.7 Formatting and Summarization
    • 4.8 Using AI to Overcome Writer’s Block
    • 4.9 Maintaining Authenticity — Adding Your Human Voice
    • 4.10 Best Tools for AI-Powered Writing
    • 4.11 Example Prompt in Action
    • 4.12 Key Takeaways
  •  
  • Chapter 5: Creating Presentations and Documents with AI
    • 5.1 From Doodles to Decks — The New Way to Create
    • 5.2 AI for Storytelling and Presentation Design
    • 5.3 Turning Ideas into Slide Outlines
    • 5.4 Enhancing Visuals with AI
    • 5.5 Tools That Make It Happen
    • 5.6 Creating Reports and Proposals with AI
    • 5.7 Best Practices for Engaging Decks
    • 5.8 Practical Exercise — Build a Slide Deck in 10 Minutes
    • 5.9 Key Takeaways
  •  
  • Chapter 6: Image Generation and Editing with AI
    • 6.1 When Words Become Pictures
    • 6.2 How AI Creates Images from Text
    • 6.3 Elements of a Great Image Prompt
    • 6.4 Top Tools for Image Generation
    • 6.5 Editing and Refining AI Images
    • 6.6 Practical Use Cases
    • 6.7 Ethics and Copyright in AI Art
    • 6.8 Practical Examples
    • 6.9 Exercise — Your First AI Image
    • 6.10 Key Takeaways
  •  
  • Chapter 7: Video Creation and Editing with AI
    • 7.1 When Words and Images Come to Life
    • 7.2 How AI Creates Videos
    • 7.3 Elements of a Great Video Prompt
    • 7.4 Top AI Video Tools
    • 7.5 Editing and Refining AI Videos
    • 7.6 Practical Use Cases
    • 7.7 Ethics and Copyright in AI Videos
    • 7.8 Prompt Templates for Video Creation
    • 7.9 Practical Exercise — Create a Quick Video
    • 7.10 Key Takeaways
  •  
  • Chapter 8: Data Analysis with Generative AI
    • 8.1 From Numbers to Insights — The AI Advantage
    • 8.2 How AI Helps in Data Analysis
    • 8.3 Elements of a Good Data Analysis Prompt
    • 8.4 Top Tools for AI-Powered Data Analysis
    • 8.5 Common Tasks AI Can Handle
    • 8.6 Practical Use Cases
    • 8.7 Editing and Refining AI Analysis
    • 8.8 Prompt Templates for Data Analysis
    • 8.9 Practical Exercise — Analyze Data with AI
    • 8.10 Key Takeaways
  •  
  • Chapter 9: Research and Learning Enhancement with AI
    • 9.1 From Hours to Minutes — AI as Your Research Partner
    • 9.2 How AI Supports Research and Learning
    • 9.3 Elements of a Good Research Prompt
    • 9.4 Top Tools for AI Research and Learning
    • 9.5 Common Research Tasks AI Can Handle
    • 9.6 Practical Use Cases
    • 9.7 Refining AI Research Outputs
    • 9.8 Prompt Templates for Research and Learning
    • 9.9 Practical Exercise — Quick Research Summary
    • 9.10 Key Takeaways
  •  
  • Chapter 10: Code Generation and Development with AI
    • 10.1 From Idea to Code — AI as Your Programming Partner
    • 10.2 How AI Supports Coding
    • 10.3 Elements of a Good Coding Prompt
    • 10.4 Top AI Tools for Coding
    • 10.5 Common Coding Tasks AI Can Handle
    • 10.6 Debugging and Optimization
    • 10.7 Prompt Templates for Coding
    • 10.8 Practical Exercise — Generate a Python Script
    • 10.9 Vibe Coding: A New Coding Paradigm
    • 10.10 Key Takeaways
  •  
  • Chapter 11: Building a Personal AI Workflow
    • 11.1 Why You Need an AI Workflow
    • 11.2 Understanding Workflow Components
    • 11.3 Mapping AI Tools to Tasks
    • 11.4 Designing Your Personal Workflow
    • 11.5 Best Practices for a Smooth Workflow
    • 11.6 Practical Exercise — Build a Mini Workflow
    • 11.7 Maintaining and Evolving Your Workflow
    • 11.8 Key Takeaways
  •  
  • Chapter 12: Business Process Automation with AI
    • 12.1 From Manual Tasks to Automated Workflows
    • 12.2 How AI Enables Business Process Automation
    • 12.3 Key Steps to Automate a Business Process
    • 12.4 Tools for AI-Powered Automation
    • 12.5 Common Business Processes to Automate
    • 12.6 Practical Exercise — Automate a Simple Workflow
    • 12.7 Best Practices for AI Automation
    • 12.8 Key Takeaways
  •  
  • Chapter 13: Industry-Specific Applications of Generative AI
    • 13.1 Why Industry-Specific AI Matters
    • 13.2 Marketing and Advertising
    • 13.3 Healthcare
    • 13.4 Finance and Banking
    • 13.5 Manufacturing and Supply Chain
    • 13.6 Retail and E-Commerce
    • 13.7 Education and Learning
    • 13.8 How to Approach Industry-Specific AI
    • 13.9 Key Takeaways
  •  
  • Chapter 14: AI Strategy and Implementation
    • 14.1 Why AI Needs a Strategy
    • 14.2 Key Steps to Implement AI Strategically
    • 14.3 Common Challenges in AI Implementation
    • 14.4 How to Avoid AI Failures
    • 14.5 Practical Steps for a Successful AI Strategy
    • 14.6 Example: Implementing AI in a Marketing Department
    • 14.7 Key Takeaways
  •  
  • Chapter 15: Ethics, Governance, and Compliance
    • 15.1 The Importance of Ethical AI
    • 15.2 AI Governance Frameworks
    • 15.3 Regulatory Compliance and Global Standards
    • 15.4 Mitigating Bias in AI Systems
    • 15.5 Implementing Ethical AI in Practice
    • 15.6 Key Takeaways
  •  
  • Chapter 16: Future Trends and Career Development
    • 16.1 The Rapid Evolution of AI
    • 16.2 Emerging AI Technologies
    • 16.3 AI and the Future of Work
    • 16.4 Career Opportunities in the AI Era
    • 16.5 How to Prepare for an AI-Powered Future
    • 16.6 Practical Exercise — Personal AI Career Plan with Agentic AI
    • 16.7 Key Takeaways
  •  
  • Appendices
    • Appendix A — Key Terms and Glossary
    • Appendix B — Practical Prompt Templates
    • Appendix C — Recommended AI Tools and Platforms
    • Appendix D — References Used and Further Reads

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