AI Tools Handbook: Concepts, Applications, and Practical Usage

Prof.(Dr.) D G Mahto, Founder & CEO -

Here is a clear, comprehensive, and publication-ready book contents structure for a book on AI Tools, designed for students, educators, professionals, and practitioners.
The structure progresses from foundations → categories of tools → hands-on use → ethics → future trends, which fits well with your academic and training-oriented writing style, Dr. Dalgobind Mahto.

Book Title (Suggested)

“AI Tools Handbook: Concepts, Applications, and Practical Usage”

Front Matter

  • Cover Page

  • Copyright Page

  • Dedication

  • Foreword

  • Preface

  • Acknowledgements

  • How to Use This Book

Part I: Foundations of Artificial Intelligence Tools

Chapter 1: Introduction to AI Tools

  • What Are AI Tools?

  • Evolution of AI Software and Platforms

  • AI Tools vs Traditional Software

  • Role of AI Tools in Digital Transformation

  • Benefits and Limitations of AI Tools

Chapter 2: Core Technologies Behind AI Tools

  • Machine Learning

  • Deep Learning

  • Natural Language Processing (NLP)

  • Computer Vision

  • Reinforcement Learning

  • Generative AI

Chapter 3: AI Tool Ecosystem

  • Open-Source vs Commercial AI Tools

  • Cloud-Based AI Tools

  • On-Device and Edge AI Tools

  • APIs, SDKs, and Frameworks

Part II: Categories of AI Tools

Chapter 4: Generative AI Tools

  • Text Generation Tools (ChatGPT, Claude, Gemini)

  • Image Generation Tools (DALL·E, Midjourney, Stable Diffusion)

  • Video Generation Tools

  • Audio & Music Generation Tools

  • Prompt Engineering Tools

Chapter 5: AI Tools for Data Science and Analytics

  • Data Preparation and Cleaning Tools

  • Automated Machine Learning (AutoML)

  • Predictive Analytics Tools

  • Visualization and Dashboard Tools

Chapter 6: AI Tools for Natural Language Processing

  • Text Summarization Tools

  • Translation Tools

  • Sentiment Analysis Tools

  • Speech-to-Text and Text-to-Speech Tools

Chapter 7: AI Tools for Computer Vision

  • Image Recognition Tools

  • Object Detection Tools

  • Facial Recognition Tools

  • Medical Imaging AI Tools

Chapter 8: AI Tools for Software Development

  • AI Code Generators

  • Debugging and Code Review Tools

  • Testing and QA Automation Tools

  • Low-Code / No-Code AI Platforms

Part III: AI Tools for Professional Domains

Chapter 9: AI Tools for Education and Training

  • Personalized Learning Tools

  • AI Tutors and Assistants

  • Content Creation for Educators

  • Assessment and Evaluation Tools

Chapter 10: AI Tools for Business and Management

  • Marketing and Sales AI Tools

  • Customer Support Chatbots

  • HR and Recruitment AI Tools

  • Financial Forecasting Tools

Chapter 11: AI Tools for Healthcare

  • Diagnostic AI Tools

  • Medical Imaging Tools

  • AI in Drug Discovery

  • Virtual Health Assistants

Chapter 12: AI Tools for Engineering and Manufacturing

  • Predictive Maintenance Tools

  • Quality Control AI Tools

  • Robotics and Automation Tools

  • Digital Twins

Part IV: Hands-On Usage and Implementation

Chapter 13: Getting Started with AI Tools

  • Selecting the Right AI Tool

  • Installation and Setup

  • Understanding User Interfaces

  • Free vs Paid AI Tools

Chapter 14: Working with Prompts and Inputs

  • Prompt Design Principles

  • Prompt Optimization Techniques

  • Avoiding Common Prompting Errors

Chapter 15: Integrating AI Tools into Workflows

  • AI Tool Integration with Existing Systems

  • APIs and Automation

  • Collaboration with Human Teams

Part V: Ethics, Safety, and Governance

Chapter 16: Ethical Issues in AI Tools

  • Bias and Fairness

  • Transparency and Explainability

  • Responsible AI Usage

Chapter 17: Privacy, Security, and Legal Concerns

  • Data Privacy and Protection

  • Intellectual Property Issues

  • AI Regulations and Compliance

Chapter 18: AI Tool Risks and Limitations

  • Over-Reliance on AI

  • Hallucinations and Errors

  • Misuse of AI Tools

Part VI: Future of AI Tools

Chapter 19: Emerging Trends in AI Tools

  • Multimodal AI Tools

  • Autonomous AI Agents

  • AI Copilots

  • AI + IoT + Robotics

Chapter 20: Career Opportunities in AI Tools

  • AI Tool Specialist Roles

  • Skills Required

  • Certifications and Learning Paths

Part VII: Practical Resources

Chapter 21: Case Studies

  • AI Tools in Education

  • AI Tools in Industry

  • AI Tools in Government

Chapter 22: Hands-On Exercises and Projects

  • Beginner-Level Exercises

  • Intermediate Projects

  • Advanced Applications

Chapter 23: Interview Questions and FAQs

  • Conceptual Questions

  • Practical Scenario Questions

  • Tool-Based MCQs

Back Matter

  • Glossary of AI Tool Terms

  • List of Popular AI Tools (with URLs)

  • References and Bibliography (APA Style)

  • Index

  • Author Biography


Prof. (Dr.) D. G. Mahto: A Visionary Director, Professor, Leader & Educator With over 25 years of excellence, Prof. (Dr.) D. G. Mahto is a Director, Professor, Philanthropist, HEI Builder, writer, consultant, reviewer, and career advisor at "Career Education for Success—Discover, Apply, Succeed!" He has empowered individuals, brands, and institutions through insightful content, innovation, and mentorship. Holding a Ph.D. in Engineering from NIT Jamshedpur, he has pursued Post-Doctoral Programs at IITs, NITs, and IIITs, reinforcing his expertise. A member of prestigious global organizations like NPA (USA), IET (UK), ASME, IAENG, and MRSI, he actively contributes to engineering, research, and education. An accomplished writer and researcher, he shares knowledge via Career Education Success Now, Career Edus, and Discover Knowledge Wisely. His vision integrates technology, innovation, and leadership, bridging gaps between aspirations and achievements. Connect with him for insights into education, research, and professional growth.

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