About the Book

ISC Artificial Intelligence for Class XII (Subject Code: 883) – Academic Session 2026–27 is a comprehensive and up-to-date textbook designed in accordance with the principles of NEP 2020 and the latest CISCE syllabus. This book is meticulously crafted to help students develop a clear and meaningful understanding of Artificial Intelligence (AI) and its applications in real-life scenarios, preparing them to navigate the technological advancements shaping the 21st century.

Moving beyond basic theory, this textbook empowers students to apply AI concepts, think critically, and understand the ethical, social, and practical implications of Artificial Intelligence. AI is no longer a futuristic concept; it is a practical tool that students will encounter in personal, academic, and professional environments. Mastery of AI concepts at this stage helps learners develop logical thinking, creative problem-solving abilities, and responsible digital behaviour, giving them a competitive advantage in higher studies and future careers.

The book is divided into two parts:

Part A: Covers foundational AI concepts and is organized into five central units:

• Applications of AI
• Different Paradigms of AI: Neural Networks, Machine Learning, Deep Learning
• Practical Implications of ANN
• Practical Implications of Machine Learning
• Introduction to Computer Vision

Part B: Focuses on practical applications and includes suggested assignments that reinforce learning through hands-on practice.

Key Features:

• Structured to suit the needs of today’s tech-savvy learners with clear, logical content.
• Did You Know? sections provide interesting insights and lesser-known facts about AI.
• Hands-on activities and exercises to test and apply AI concepts.
• Chapter-wise Recap and Key Terms for better retention and comprehension.
• Each chapter includes a comprehensive exercise set covering Multiple Choice Questions, Short and Long Answer Questions, Assertion-Reasoning Questions, Subject Enrichment, Assessment, Knowledge Hub, and Experiential Learning.
• Digital support is included, and e-books are available exclusively for teachers.

By the end of this course, learners will not only understand how AI works but also how to apply it responsibly, reflect on its possibilities, limitations, and ethical challenges, and develop a strong foundation for advanced studies in AI and related fields.

HIGHLIGHTS

• Aligned with NEP 2020 and CISCE syllabus for Class XII
• Covers Neural Networks, Machine Learning, Deep Learning, ANN, and Computer Vision
• Includes hands-on activities, assignments, and practical exercises
• Provides Did You Know? sections for insights and real-world relevance
• Chapter exercises include MCQs, Assertion-Reasoning, Subject Enrichment, and Experiential Learning
• Digital support and e-books available for teachers

Board: ICSE
Class: 12
Author: Hema Dhingra