Table of Contents
Artificial Intelligence Handbook: Essential Terminology, Concepts, Applications and AI Tools
Title Page
Copyright Page
Dedication
Foreword
Preface
Acknowledgements
How to Use This Handbook
List of Figures
List of Tables
List of Abbreviations
Part I – Foundations of Artificial Intelligence
Chapter 1: Introduction to Artificial Intelligence
What is Artificial Intelligence?
History and Evolution of AI
AI Milestones
Types of AI
AI vs Human Intelligence
Benefits and Challenges of AI
Future of Artificial Intelligence
Chapter 2: Core AI Concepts
Intelligence
Learning
Reasoning
Knowledge Representation
Planning
Problem Solving
Decision Making
Automation
Cognitive Computing
Chapter 3: AI Terminology A–Z (Core Terms)
Artificial Intelligence
Algorithm
Neural Network
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Robotics
Reinforcement Learning
Explainable AI
AI Ethics
Bias
Hallucination
Foundation Models
Edge AI
And 500+ Essential AI Terms
Part II – Machine Learning and Deep Learning
Chapter 4: Machine Learning Fundamentals
Types of Machine Learning
Data Collection
Data Preparation
Model Training
Model Evaluation
Feature Engineering
Hyperparameter Tuning
Chapter 5: Deep Learning
Artificial Neural Networks
CNN
RNN
LSTM
Transformer Models
Autoencoders
GANs
Chapter 6: Large Language Models (LLMs)
GPT
BERT
Gemini
Claude
Llama
Mistral
Tokenization
Embeddings
Context Window
Fine-Tuning
Part III – Generative AI
Chapter 7: Generative Artificial Intelligence
Introduction
Foundation Models
Prompt Engineering
AI Agents
AI Assistants
AI Workflows
AI Automation
Chapter 8: Generative AI Tools
ChatGPT
Gemini
Claude
Microsoft Copilot
Perplexity AI
Grok
Midjourney
DALL·E
Stable Diffusion
Runway
Suno
ElevenLabs
NotebookLM
Part IV – AI Technologies
Chapter 9: Natural Language Processing
Text Classification
Translation
Sentiment Analysis
Named Entity Recognition
Summarization
Speech Recognition
Chapter 10: Computer Vision
Image Recognition
Object Detection
OCR
Facial Recognition
Medical Imaging
Chapter 11: Robotics and Automation
Intelligent Robots
Industrial Robotics
Autonomous Systems
Drones
Smart Manufacturing
Part V – AI Applications
Chapter 12: AI in Education
Chapter 13: AI in Healthcare
Chapter 14: AI in Agriculture
Chapter 15: AI in Banking and Finance
Chapter 16: AI in Business and Marketing
Chapter 17: AI in Manufacturing
Chapter 18: AI in Transportation
Chapter 19: AI in Government and Public Administration
Chapter 20: AI in Law and Legal Services
Chapter 21: AI in Cybersecurity
Chapter 22: AI in Climate Change and Environmental Sustainability
Chapter 23: AI in Smart Cities
Chapter 24: AI in Retail and E-commerce
Chapter 25: AI in Media and Entertainment
Chapter 26: AI in Human Resources
Chapter 27: AI in Scientific Research
Part VI – AI Development
Chapter 28: Programming Languages for AI
Python
R
Java
C++
Julia
Chapter 29: AI Frameworks
TensorFlow
PyTorch
Keras
Hugging Face
LangChain
Haystack
Chapter 30: AI Cloud Platforms
Google Cloud AI
Microsoft Azure AI
Amazon Web Services AI
IBM Watson
Oracle AI
Part VII – AI Ethics, Governance and Security
Chapter 31: AI Ethics
Chapter 32: Responsible AI
Chapter 33: AI Governance
Chapter 34: AI Regulations and Global Policies
Chapter 35: AI Privacy and Data Protection
Chapter 36: AI Security and Risk Management
Part VIII – AI Careers and Future
Chapter 37: AI Careers
AI Engineer
Data Scientist
Machine Learning Engineer
Prompt Engineer
AI Product Manager
AI Research Scientist
Chapter 38: AI Certifications
Chapter 39: AI Startups and Entrepreneurship
Chapter 40: The Future of Artificial Intelligence
Part IX – Artificial Intelligence Terminology Dictionary
Chapter 41: AI Terms A–C
Chapter 42: AI Terms D–F
Chapter 43: AI Terms G–I
Chapter 44: AI Terms J–L
Chapter 45: AI Terms M–O
Chapter 46: AI Terms P–R
Chapter 47: AI Terms S–U
Chapter 48: AI Terms V–Z
Part X – Reference Section
Chapter 49: Frequently Asked Questions (FAQs)
Chapter 50: AI Acronyms and Abbreviations
Chapter 51: AI Formulas, Algorithms and Mathematical Concepts
Chapter 52: AI Datasets and Benchmarks
Chapter 53: AI Tools Directory
Chapter 54: AI Companies and Research Organizations
Chapter 55: AI Books, Journals and Learning Resources
Chapter 56: AI Glossary
Chapter 57: Bibliography
Chapter 58: Web Resources
Chapter 59: Index
Appendices
Appendix A: AI Timeline (1950–Present)
Appendix B: Nobel Prize and Turing Award Winners in AI-Related Fields
Appendix C: AI Prompt Templates
Appendix D: AI Project Ideas
Appendix E: AI Interview Questions
Appendix F: AI Certification Roadmap
Appendix G: AI Career Roadmap
Appendix H: AI Case Studies
Appendix I: AI Ethics Checklist
Appendix J: AI Tool Comparison Matrix
Artificial Intelligence Handbook
Essential Terminology, Concepts, Applications and AI Tools
A Comprehensive Guide to Understanding Modern Artificial Intelligence, Machine Learning, Generative AI, Prompt Engineering, AI Ethics, and Emerging Technologies
By
Lalit Mohan Shukla
Teacher | Educationist | Researcher | Author | Blogger
First Edition
2026
Copyright © 2026
Lalit Mohan Shukla
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, transmitted, or distributed in any form or by any means—electronic, mechanical, photocopying, recording, or otherwise—without the prior written permission of the author, except for brief quotations used in reviews or scholarly works.
Book Highlights
Comprehensive AI Terminology and Glossary
Fundamentals of Artificial Intelligence
Machine Learning and Deep Learning Concepts
Generative AI and Large Language Models (LLMs)
Prompt Engineering Techniques
Natural Language Processing (NLP)
Computer Vision and Robotics
AI Applications Across Industries
AI Ethics, Privacy, Security, and Governance
Popular AI Tools and Productivity Platforms
Future Trends and Career Opportunities in AI
Author: Lalit Mohan Shukla
Title: Artificial Intelligence Handbook: Essential Terminology, Concepts, Applications and AI Tools
Language: English
Edition: First Edition
Printed in India
