CBSE Class 11 Artificial Intelligence Syllabus 2025–26 | NCERT
CBSE Class 11 – Artificial Intelligence
(Based on NCERT | Latest CBSE Curriculum 2025–26)
🤖 CLASS 11 – ARTIFICIAL INTELLIGENCE
Board: CBSE
Subject: Artificial Intelligence
Academic Year: 2025–26
📝 QUESTION PATTERN & MARKING SCHEME (CBSE)
Theory Examination: 30 Marks
Time: 1½ Hours
Practical / Internal Assessment: 70 Marks
Assessment Structure
- Theory (30 marks)
- Section A: MCQs / Very Short Answer (1 mark each)
- Section B: Short Answer Questions (2–3 marks)
- Section C: Case-based / Application-based Questions (4–5 marks)
- Practical / Internal (70 marks)
- Hands-on practicals & activities
- Project / Portfolio
- Viva Voce
Total Marks: 100 (30 Theory + 70 Practical)
Map-based questions: Not applicable
📚 SYLLABUS – UNIT-WISE (AS PER NCERT & CBSE 2025–26)
NCERT / CBSE Curriculum: Artificial Intelligence – Class XI
| Unit | Chapter / Theme | Learning Outcomes / Chapter Summary |
|---|---|---|
| Unit I | Introduction to Artificial Intelligence | Understand AI concepts, history, domains of AI, real-life applications and career pathways. |
| Unit II | AI Ethics and Values | Learn ethical considerations, bias, privacy, transparency, accountability and responsible use of AI. |
| Unit III | AI Project Cycle | Understand the stages of AI project cycle: problem scoping, data acquisition, data exploration, modelling and evaluation. |
| Unit IV | Data Literacy | Learn types of data, data collection, data quality, basic data handling and visualisation concepts. |
| Unit V | Python Programming Basics | Introduction to Python, variables, data types, operators, conditional statements and loops. |
| Unit VI | Introduction to Machine Learning | Understand supervised and unsupervised learning, basic ML concepts and examples. |
| Unit VII | Neural Networks – Basics | Introduction to neural networks, perceptron model and basic idea of deep learning. |
| Unit VIII | AI Tools and Platforms | Explore AI tools, libraries and platforms used for simple AI models and projects. |
| Unit IX | AI Applications and Case Studies | Study AI use cases in healthcare, agriculture, education, smart cities and business. |
🧪 PRACTICAL WORK / PROJECT (CLASS XI)
| Area | Activities | Skills Developed |
|---|---|---|
| AI Activities | Problem identification, dataset exploration | Analytical and problem-solving skills |
| Programming | Python coding exercises | Logical thinking and coding skills |
| AI Project | Mini AI project using project cycle | Teamwork, creativity and application |
| Portfolio | Record of activities & reflections | Documentation and presentation |
📌 PEDAGOGY & ASSESSMENT NOTES
- Emphasis on experiential learning and hands-on practice
- Focus on ethical AI awareness and real-world applications
- Project-based learning builds critical thinking and innovation skills
- Portfolio maintenance is mandatory
🔍 RELATED KEYPHRASES
- CBSE Class 11 Artificial Intelligence Syllabus 2025-26
- NCERT Artificial Intelligence Class 11 Curriculum
- Class 11 AI Exam Pattern CBSE
- CBSE Artificial Intelligence Practical Syllabus
- AI Project Work Class 11 CBSE
❓ FREQUENTLY ASKED QUESTIONS (FAQs)
Q1. Is Artificial Intelligence a practical subject in CBSE Class 11?
Yes, AI is largely practical, with 70 marks allotted to practicals and project work.
Q2. How many marks are allotted for theory in AI?
The theory paper carries 30 marks.
Q3. Is programming compulsory in Class 11 AI?
Yes, basic Python programming is an essential part of the syllabus.
Q4. What kind of projects are included in AI?
Students work on simple AI projects following the AI project cycle using real-life problems.
Q5. Is Artificial Intelligence a scoring subject?
Yes, with regular practice and project work, AI is considered a highly scoring and skill-oriented subject.
