CBSE · Code 843 · Session 2026-27
CBSE Class 11 AI Syllabus 2026-27 (Code 843)
Artificial Intelligence (Code 843) in Class 11 is an elective skill subject of 100 marks: 50 theory and 50 practical. Theory is Part A Employability Skills (10 marks) plus eight subject units (40 marks); the practical half includes a 12-mark capstone and a 5-mark industry certification such as IBM SkillsBuild. It runs under CBSE’s Department of Skill Education, toward the “AI Assistant” job role.
Source: the syllabus PDF CBSE publishes (Curriculum 2026-27), linked below · Last verified 31 August 2026.
What are the Class 11 AI units and marks?
| Unit (Part B) | Theory marks |
|---|---|
| Introduction: AI for Everyone | 4 |
| Unlocking your Future in AI | 5 |
| Python Programming | 5 |
| Introduction to Capstone Project | 5 |
| Data Literacy – Data Collection to Data Analysis | 6 |
| Machine Learning Algorithms | 6 |
| Leveraging Linguistics and Computer Science | 5 |
| AI Ethics and Values | 4 |
| Part B total | 40 + Part A Employability Skills (10) = Theory 50 |
The spread is deliberately broad: a light Python introduction, data literacy, classical machine learning and an ethics unit. Nothing here assumes prior coding — but students who arrive comfortable with basic Python spend the year on concepts instead of syntax.
How is the 50-mark practical assessed?
| Part C component | Marks |
|---|---|
| IBM SkillsBuild Certification (or any other industry certification) | 5 |
| Capstone Project | 12 |
| Bootcamps / Internship / other startup engagement | 7 |
| Practical File | 10 |
| Lab Test / written exam based on the practical file | 10 |
| Viva Voce | 6 |
| Part C total | 50 Grand total 100 |
Two components reward initiative rather than exam technique: the industry certification (IBM SkillsBuild or an equivalent) and the bootcamp/internship engagement. Both are worth locking in during the first term, while the capstone is still in its scoping phase.
Where is the syllabus PDF from CBSE itself?
CBSE’s canonical document for the 2026-27 session: 843-AI-XI.pdf on cbseacademic.nic.in. Schools make choices within this scheme (which certification, which bootcamp), so confirm specifics with your subject teacher.
What comes after Class 11?
The Class 12 syllabus under the same code shifts to applied work — neural networks, computer vision, generative AI and a 25-mark capstone. Students coming up from Code 417 in Classes 9-10 will recognise the project-cycle thread. The full ladder is mapped in our CBSE AI curriculum overview, and the Grade 11 learning path pairs each unit with practice lessons.
How should a student prepare?
The highest-leverage preparation is concept fluency in data literacy and ML algorithms before the term gets busy. LittleAIMaster’s Grade 11 path covers the same ground interactively, and the first chapters are free.
Bring this curriculum to your school
LittleAIMaster runs structured AI lessons for Grades 6-12 — 540+ chapters, teacher dashboards, and per-student progress visibility. The app is freemium, so your teachers can test the first chapters free before any conversation about seat licensing.
Talk to us about your schoolResponse within 1 business day