This book, "AI in Education," was born out of a necessity to bridge the gap between the theoretical constructs of Artificial Intelligence and their practical, impactful application within the educational ecosystem. While numerous texts delve into the depths of machine learning algorithms or the philosophies of pedagogy, there exists a critical need for a unified resource that speaks to both domains. This book is designed to be that bridge. It is crafted for the aspiring B.Tech and M.Tech students who will build the future of educational technology, for the educators who will wield these new tools, and for the researchers who will continue to push the boundaries of what is possible.

Key Features of the Book:

1. NEP 2020 & AICTE Compliant: The structure and content are explicitly aligned with the principles of interdisciplinary, experiential, and technology-integrated learning as envisioned by NEP 2020 and the AICTE model curriculum.

2. Practical, Hands-on Approach: Every theoretical concept is followed by simplified, practical examples and code snippets (in Python) to demonstrate its application in an educational context.

3. Updated & Latest Content: Includes dedicated chapters and sections on cutting-edge topics such as Generative AI, Large Language Models (LLMs), prompt engineering, and their impact on teaching and learning.

4. Global Perspective: While rooted in the Indian academic context, the book incorporates international case studies and aligns with global university syllabi, making it relevant for learners worldwide.

5. Strong Ethical Focus: A dedicated chapter on Ethics, Equity, and Policy ensures that students develop a critical understanding of the societal and human implications of deploying AI in education.

6. Clear Learning Objectives: Each chapter begins with a set of clear objectives and ends with a summary and review questions to reinforce learning and assess comprehension.

7. Real-World Case Studies: Features examples from leading EdTech companies and educational institutions to illustrate how AI is being used successfully in the field today.

8. Project-Based Learning: Concludes with guidelines for a capstone project, enabling students to synthesize their learning and build a functional prototype of an AI-EdTech solution.

"AI in Education" is more than a textbook; it is an invitation. It is an invitation to explore, to question, to create, and to innovate. It is our sincere hope that this book will not only equip you with the necessary technical skills but also inspire you to envision and build an educational future that is more personalized, inclusive, and effective for all learners. The future of education is not about replacing teachers with machines; it is about empowering them with the best of what AI has to offer. Let us begin this exciting journey together.