Practical and Exam-Oriented: The Best Book for Artificial Intelligence Class 12Β
Class 12 is a critical milestone where students transition from basic concepts to advanced, real-world tech applications. To score well in the board exams and build a solid foundation for future tech careers, students need a resource that is both theoretical and highly practical. Authored by Dr Sachin Gupta and Dr Bhoomi Gupta, Decoding Artificial Intelligence for Class 12 is a comprehensive guide strictly aligned with the latest CBSE 2026-27 curriculum.
Widely recommended among the topreference books for AI class 12, this textbook simplifies complex algorithms into hands-on activities. Whether you are learning in a classroom or exploring independently, this artificial intelligence class 12 CBSE textbook equips you with the exact tools and techniques needed to understand how AI solves practical problems in the modern world.
Core Features of this Class 12 AI Book:
Complete Board Alignment: Thoroughly covers both Employability Skills and Subject-Specific Skills to ensure 100% compliance with the artificial intelligence CBSE Class 12 syllabus.
Competency-Based Learning: Introduces fresh assessments strictly aligned with the CBSE Competency-Based Assessment (CBA) framework, emphasizing Higher Order Thinking Skills (HOTS) and reasoning.
Jargon Alerts & Visual Aids: Complex terms are broken down into plain language through dedicated 'Jargon Alerts', supported by clear illustrations to help students easily visualize tough topics like Neural Networks.
Advanced Data Science, Coding, and No-Code AI ToolsΒ
An effective AI textbook class 12 CBSE must go beyond theory and provide actual software exposure. This textbook ensures students learn highly relevant industry skills, from writing Python scripts to executing no-code data models.
Python & Data Science: Includes dedicated modules on Python Programming II, teaching students how to handle real datasets using powerful libraries like NumPy and Pandas.
No-Code Data Mining:Students learn to use the Orange Data Mining Tool, exploring data and creating AI models using a simple drag-and-drop interface without writing a single line of code.
Modern AI Domains: Covers the mechanics of how machines learn through Neural Networks, how they see via Computer Vision, and the latest trends in Generative AI for creating text, music, and images.
Capstone Project & Storytelling: Integrates real-world case studies perfect for structuring Capstone Projects around Sustainable Development Goals (SDGs). It also introduces 'Data Storytelling' to help students turn raw analytics into compelling narratives.
Complete Exam Preparation: Features interactive online labs, step-by-step activities, a solved Model Test Paper, an unsolved Practice Paper, and a QR-coded CBSE Sample Question Paper with solutions for ultimate exam confidence.
Strictly updated as per the current CBSE curriculum, incorporating rationalized topics and the latest skill education guidelines.
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Handbook Aligned
Mapped directly with the official CBSE skill subject handbook to build a strong practical and theoretical foundation.
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360Β° Assessment Pattern
Master concepts with a rich mix of Objective, Subjective, Case-based, HOTS, Reasoning/Application, and Image-based questions.
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Quick Recap
Key concepts, core definitions, and flowcharts mapped out systematically for fast and effective final revisions.
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Practice Papers
Self-practice test papers designed rigorously for high-impact exam preparation and time management.
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Graded Exercises
Well-graded practice problems starting from basic learning levels to highly advanced application stages.
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Chapters Covered
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PART A: EMPLOYABILITY SKILLS
Communication SkillsβIV
Self-Management SkillsβIV
ICT SkillsβIV
Entrepreneurial SkillsβIV
Green SkillsβIV
Answers to Objective Type Questions
PART B: SUBJECT-SPECIFIC SKILLS
Python ProgrammingβII
Data Science Methodology
Computer VisionβMaking Machines See
Data Mining with Orange
Introduction to Big Data and Data Analytics
Understanding Neural Networks
Generative Artificial Intelligence
Data Storytelling
APPENDICES & ASSESSMENT
Answers to Objective Type Questions
Viva Voce
Model Test Paper (Solved)
Practice Paper
About The Authors
Prof. (Dr.) Sachin Gupta
Dean of Research & Innovation and Professor (CSE) at MAIT, GGSIPU, Delhi
Prof. (Dr.) Sachin Gupta is a distinguished academician, research leader, and prolific author with over 23 years of experience. He holds a Ph.D. in Computer Science Engineering and has shaped the K-12 learning landscape as a co-author of the acclaimed "Decoding Artificial Intelligence" and "Essentials of Data Science" book series for CBSE Classes 9 to 12. An award-winning researcher and inventor, Dr. Gupta also serves as a national Resource Person for the Ministry of Education and AICTE.
Associate Professor & Head of Department (CSE) at MAIT, GGSIPU, Delhi
Dr. Bhoomi Gupta is an eminent academician, researcher, and highly accomplished author with a career dedicated to computer science. She is the co-author of the widely popular "Decoding Artificial Intelligence" and "Essentials of Data Science" textbook series by Sultan Chand & Sons (P) Ltd for CBSE Classes 9 to 12. An award-winning writer and researcher with multiple patents, she also leads research governance and mentors future engineering talent at MAIT.
Excellent book with clear and concise explanations
I've received the book and gone through it. The content is excellent, with clear and concise explanations.
Frequently Asked Questions
The content is meticulously aligned with the latest CBSE 2026-27 curriculum for Artificial Intelligence CBSE Class 12. It specifically integrates the new Competency-Based Assessment (CBA) framework, providing students with Higher Order Thinking Skills (HOTS) questions, a solved Model Test Paper, and direct QR access to the official CBSE Sample Question Paper to ensure complete board readiness.
Instead of just focusing on theory, the textbook prioritizes hands-on learning. Students master real-world data handling using powerful Python libraries like NumPy and Pandas, while also exploring no-code alternatives like the Orange Data Mining Tool. This highly practical approach is a major reason why educators rate it as the best book for the artificial intelligence class 12.
Advanced tech domains can easily become overwhelming, but this guide breaks them down using step-by-step activities and clear visual illustrations. Difficult vocabulary is instantly translated into plain language through dedicated 'Jargon Alerts', making abstract concepts like Computer Vision, Big Data, and Generative AI completely accessible for high schoolers.
NumPy and Pandas are widely used libraries for data analysis and data processing. They help students organise, analyse and interpret data, which is a fundamental part of modern Artificial Intelligence and Data Science workflows.
The use of AI is expanding across healthcare, finance, marketing, education, retail, manufacturing and many other sectors. Understanding AI concepts can be valuable across a wide range of disciplines and professions.
You can review the current pricing and directly buy the AI Class 12 book right from this official Sultan Chand & Sons (P) Ltd. As one of the top reference books for AI class 12, ordering the Artificial Intelligence class 12 CBSE textbook straight from the publisher guarantees you receive the authentic edition with all active digital resources and updated assessment frameworks.
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