Unlocking AI: A Simple Guide for Beginners

By Rajamanickam Antonimuthu

Though there is a lot of hype surrounding AI, many people are still unaware of its power, especially when it comes to how AI can truly help them in their daily lives and at workplaces. This book "Unlocking AI: A Simple Guide for Beginners" will help people to learn about AI.

This beginner-friendly book explains AI concepts in easy-to-understand language, making it ideal for students, professionals, and tech enthusiasts.

Find below the chapters of this book.

1. Introduction: What is AI and Why Should You Care?

2. A Brief History of AI: From Myths to Reality.

3. How Does AI Work? Demystifying the Basics

4. Types of AI: Narrow AI, General AI, and Superintelligence

5. AI in Everyday Life: Applications You Already Use

6. Machine Learning: The Heart of AI

7. Data: The Fuel That Powers AI

8. Ethical AI: The Good, the Bad, and the Ugly

9. AI Tools and Platforms for Beginners

10. AI Careers: How to Start Your Journey in AI

11. Fun AI Projects to Try at Home

12. The Future of AI: What's Next?

13. Frequently Asked Questions (FAQ)

AI Basics

AI in Daily Life

Learning & Career in AI

AI Tools & Resources

Building AI Projects

Prompt Engineering in AI

Retrieval-Augmented Generation (RAG)

Breaking Down AI Jargon

Understanding AI Algorithms

Python's Role in AI Development

Relationship Between AI and Data Science

Common Myths and Misconceptions About AI

AI and the Law

AI and Creativity

AI and Robotics

Getting Started with AI: A Step-by-Step Guide

14. How ChatGPT Understands Text, Images, and Audio

15. AI Learning Resources

16. Hugging Face: Revolutionizing Natural Language Processing and AI Development

17. LangChain: Revolutionizing LLM-Powered Applications

18. Understanding Input Window Limitation in Large Language Models (LLMs)

19. Understanding Computer Vision

20. A Beginner's Guide to Training an AI Model

21. Natural Language Processing (NLP)

22. Mastering Prompt Engineering: The Art and Science of Communicating with AI

23. Using OpenAI API to Build AI-Powered Apps

24. Building a Simple Retrieval-Augmented Generation (RAG) System with LangChain

25. Using Streamlit for AI Development

26. Creating a Local Chatbot Using Popular AI Models

27. DeepSeek AI Development: A New Era of Open-Source AI

28. Exploring Neural Networks with TensorFlow Playground

29. AI Development Best Practices

30. Conclusion and Next Steps

• Format: Paperback
• Language: English
• ISBN: B0DWFBS9NL
• ISBN13: 9798309680320
• Release Date: February 2025
• Publisher: Independently Published
• Length: 132 Pages
• Weight: 0.71 lbs.
• Dimensions: 0.3" x 8.5" x 11.0"