Step-by-Step Practical Learning with the Best Book for Artificial Intelligence Class 10
Class 10 CBSE brings technical subjects into sharper focus, especially when preparing for board-level evaluation. Artificial Intelligence is no longer just a theoretical topic; it requires hands-on familiarity with workflows, data structures, and real-world tools. Decoding Artificial Intelligence for CBSE Class 10, authored by Dr Sachin Gupta and Dr Bhoomi Gupta, bridges the gap between understanding "what AI is" and experiencing "how AI works" in practice.
As a highly recommended choice among reference books for AI class 10, this textbook simplifies complex data science concepts using everyday scenarios, clear visuals, and structured activities. It serves as an ideal, exam-oriented resource for schools offering CBSE Artificial Intelligence Class 10 as a specialized skill subject.
Key Learning Tools in this Class 10 AI Book:
Full Syllabus Coverage:Directly maps both Employability Skills and Subject-Specific Skills according to the officially prescribed Class 10 AI syllabus.
Jargon Alerts: Features dedicated text boxes that instantly decode complex technical vocabulary into simple, everyday language so students never get stuck.
Relatable Analogies: Explains advanced digital workflows through familiar, real-life situations, making abstract logic easy to recall during exams.
Exam-Focused Evaluation and Hands-On No-Code Projects
Scoring well in high school vocational subjects requires a balanced approach between theoretical knowledge and practical execution. This artificial intelligence class 10 book provides a structured path for both classroom learning and self-assessment at home.
Advanced Practical Modules: Following the guidelines in the preface of the book, students get to explore an expanded AI Project Cycle, advanced AI domains like Computer Vision and Natural Language Processing (NLP), and ethical AI frameworks that highlight bias reduction.
No-Code Platform Integration: The textbook introduces real-world data handling by incorporating interactive labs and guided projects using no-code AI tools, such as Orange Data Mining for sentiment analysis and data classification.
Complete Board Exam Support: Includes a fully solved Model Test Paper and an unsolved Practice Paper to help students self-evaluate. Additionally, students can scan built-in QR codes to access an updated board-style sample paper with detailed solutions, marking schemes, and free lecture videos hosted onscslearning.io.
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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360° 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
📖 View Complete Table of Contents+
PART A: EMPLOYABILITY SKILLS
Communication Skills–II
Self-Management Skills–II
ICT Skills–II
Entrepreneurial Skills–II
Green Skills–II
Answers to Objective Type Questions
PART B: SUBJECT-SPECIFIC SKILLS
Introduction to Artificial Intelligence
AI Project Cycle
Advanced Concepts of Modelling in AI
Evaluating Models
Statistical Data
Computer Vision
Natural Language Processing
Advanced Python
Answers to Objective Type Questions
APPENDICES & ASSESSMENT
Appendix A: Viva Voce
Appendix B: Model Test Paper (Solved)
Appendix C: Practice Paper
Appendix D: Practical Work
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.
Board preparation requires exact alignment with official guidelines. This textbook perfectly maps the latest Class 10 AI syllabus, offering a fully solved Model Test Paper and an unsolved Practice Paper. Students can also scan the built-in QR code to instantly access updated board-style sample papers with detailed solutions, ensuring they are completely exam-ready.
While standard handbooks provide a theoretical baseline, this AI book class 10 takes a highly practical and application-based approach. It goes beyond basic definitions by integrating real-world datasets and no-code projects using tools like Orange Data Mining. Furthermore, students get access to free lecture videos and interactive online platforms via scslearning.io, making it much more engaging.
Practical execution is a major focus throughout the chapters. The curriculum is designed to help learners move from theory to action smoothly. It explores the complete AI Project Cycle and includes guided hands-on labs covering Advanced Python, Computer Vision, and Natural Language Processing (NLP), fully supporting the practical evaluation needs of the schools.
Computer Applications generally focuses on software usage, computing concepts and applications, whereas Artificial Intelligence introduces students to data, machine learning concepts, AI systems and intelligent decision-making processes.
The subject encourages logical reasoning, problem-solving, analytical thinking, creativity, data awareness and structured decision-making skills that are useful across academic disciplines.
Examples and contextual learning activities are used throughout the book to help students connect classroom concepts with practical applications of Artificial Intelligence.
The subject encourages logical reasoning, problem-solving, analytical thinking, creativity, data awareness and structured decision-making skills that are useful across academic disciplines.
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