Table of Contents

• Introduction
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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
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• 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