Course Overview

So, you picked Artificial Intelligence as your Class 11 subject—one of the best choices you could make. Here, you’ll find all the CBSE Code 843 notes organized unit by unit. As a result, you can study each topic in order without wasting time searching for what to learn next.

CBSE introduced AI as a skill subject for Class XI students to get them ready for a world that runs on data and automation. Code 843 covers everything — from understanding what AI is, to career paths, Python programming, machine learning, data analysis, and even the ethics behind building AI systems.

This page is your complete guide to the Class 11 AI CBSE syllabus 2026-27 — Part A (Employability Skills), Part B (Subject Specific Skills), and Part C (Practical and Project Work). However, if you are here for a specific unit, just scroll down and jump straight to it. You can also begin with Introduction to AI for Everyone if you are starting fresh.


AI Class 11 Syllabus

AI Class 11 Notes CBSE

Artificial Intelligence Class 11 Notes on this site are easy to understand for every student. Whether you’re learning or revising, the concepts are explained clearly, so you can study with confidence. Based on the CBSE Code 843 curriculum 2026-27, each unit is explained with examples, key definitions, and practical context, not just textbook theory copy-pasted.


Class 11 AI – Employability Skills (Part A) | 60 Hours | 10 Marks

Communication Skills – III15 Hours2 MarksYT Link
Self-Management Skills – III10 Hours2 MarksYT Link
ICT Skills – III15 Hours2 MarksYT Link
Entrepreneurial Skills – III10 Hours2 MarksYT Link
Green Skills – III10 Hours2 MarksYT Link

Class 11 Part A Syllabus

Subject Specific Skills (Part B) | Theory 50 + Practical 100 | 40 Marks

Unit 1: Introduction – Artificial Intelligence for Everyone4T + 10P Hours4 MarksYT LinkPDF Notes
Unit 2: Unlocking Your Future in AI6T + 10P Hours5 MarksYT LinkPDF Notes
Unit 3: Python Programming10T + 20P Hours5 MarksYT LinkPDF Notes
Unit 4: Introduction to Capstone Project6T + 15P Hours5 MarksYT LinkPDF Notes
Unit 5: Data Literacy – Data Collection to Data Analysis6T + 15P Hours6 MarksYT LinkPDF Notes
Unit 6: Machine Learning Algorithms9T + 15P Hours6 MarksYT LinkPDF Notes
Unit 7: Leveraging Linguistics and Computer Science5T + 10P Hours5 MarksYT LinkPDF Notes
Unit 8: AI Ethics and Values4T + 5P Hours4 MarksYT LinkPDF Notes
Class 11 AI Part B Syllabus

Class 11 AI – Practical / Project Work (Part C) | 50 Marks

IBM Skills Build Certification / Any Industry Certification5 Marks
Capstone Project12 Marks
Bootcamp / Internship / Other Startups7 Marks
Practical File10 Marks
Lab Test / Written Exam (based on practical file)10 Marks
Viva Voce (based on practical file and project)6 Marks
Class 11 AI Part c Syllabus