CBSE Class 9 Artificial Intelligence Syllabus 2025–26 | NCERT
====================================================
CBSE CLASS 9 – ARTIFICIAL INTELLIGENCE (NCERT) | SYLLABUS 2025–26
Class: IX
Subject: Artificial Intelligence (Skill Subject – Code 417)
Board: Central Board of Secondary Education (CBSE)
🤖 Question Paper Pattern & Marking Scheme (CBSE 2025–26)
Theory Examination: 50 Marks
Practical / Internal Assessment: 50 Marks
Total: 100 Marks
Question Paper Structure (Theory – 50 Marks)
- Section A: Very Short Answer (VSA) / MCQs
1 mark each – basic concepts and terminology - Section B: Short Answer (SA)
2–3 marks each – understanding and real-life application - Section C: Long Answer (LA)
4–5 marks each – descriptive, analytical, and case-based questions
Practical / Internal Assessment (50 Marks)
- Practical File / Portfolio – 10 marks
- Hands-on Practical Examination – 30 marks
- Viva Voce – 10 marks
Note: Practical assessment focuses on application of AI concepts, data handling, problem-solving, and ethical awareness.
🧠 CBSE Class 9 Artificial Intelligence Syllabus (NCERT) – 2025–26
| Unit | Unit / Chapter Title | Brief Learning Outcomes / Summary |
|---|---|---|
| Unit 1 | Introduction to Artificial Intelligence | Understanding the meaning, history, domains, and applications of Artificial Intelligence in daily life. |
| Unit 2 | AI Project Cycle | Stages of the AI project cycle: problem scoping, data acquisition, data exploration, modelling, and evaluation. |
| Unit 3 | Problem Scoping | Identifying real-world problems, defining objectives, stakeholders, and ethical considerations in AI solutions. |
| Unit 4 | Data Acquisition and Exploration | Types of data, data collection methods, data visualization, and basic data analysis techniques. |
| Unit 5 | Modelling in Artificial Intelligence | Introduction to rule-based and learning-based models; understanding training and testing of models. |
| Unit 6 | Evaluation of AI Models | Evaluating AI solutions using accuracy and performance measures; understanding bias and fairness. |
| Unit 7 | AI Ethics and Values | Ethical issues in AI, data privacy, bias, transparency, accountability, and responsible use of AI. |
| Unit 8 | Introduction to Machine Learning | Basic idea of machine learning, supervised and unsupervised learning with simple real-life examples. |
| Unit 9 | AI Tools and Applications | Hands-on exposure to AI tools, simulations, and platforms for building simple AI-based solutions. |
| Unit 10 | Practical Project Work | Applying AI project cycle to a real-life problem through group or individual projects. |
✅ Key Highlights
- Syllabus strictly aligned with CBSE Skill Education guidelines and NCERT curriculum for 2025–26
- Balanced emphasis on conceptual understanding, ethics, and hands-on learning
- Encourages critical thinking, innovation, and problem-solving skills
🔍 Related Keyphrases
- CBSE Class 9 Artificial Intelligence Syllabus 2025–26
- NCERT Class 9 Artificial Intelligence Curriculum
- Class 9 AI Exam Pattern CBSE
- CBSE Artificial Intelligence Skill Subject Class 9
- Class 9 AI Project Cycle and Practical
