CBSE · Code 843 · Session 2026-27
CBSE Class 12 AI Syllabus 2026-27 (Code 843)
Artificial Intelligence (Code 843) in Class 12 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 is dominated by a 25-mark capstone project. The subject sits under CBSE’s Department of Skill Education and trains 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 12 AI units and marks?
Part B (Subject-Specific Skills) carries 40 theory marks across these units. Note two units are practical-only — they carry no theory marks and are assessed in the lab exam instead. This is the table most syllabus summaries get wrong, usually by pasting the Class 11 units here.
| Unit (Part B) | Theory marks | Notes |
|---|---|---|
| Python II | — | Practical only — assessed in Part C, no theory marks |
| Data Science Methodology | 8 | End-to-end methodology from question to insight |
| Making Machines See | 6 | Computer vision foundations |
| Orange Data Mining | — | Practical only — used in the Part C lab test |
| Big Data and Data Analytics | 6 | |
| Neural Networks | 8 | |
| Generative AI | 7 | LLMs, ChatGPT, Canva/Animaker activities; a Gemini-API chatbot exercise is flagged "For Advanced Learners" and is not examinable |
| Data Storytelling | 5 | |
| Part B total | 40 | + Part A Employability Skills (10) = Theory 50 |
How is the 50-mark practical assessed?
| Part C component | Marks | Notes |
|---|---|---|
| Capstone Project + Documentation + Video | 25 | 15 + 6 + 4 |
| Practical File | 10 | |
| Lab Test (Python and Orange Data Mining) | 10 | |
| Viva Voce | 5 | |
| Part C total | 50 | Grand total 100 |
Half the practical grade is the capstone: a project (15), its documentation (6) and a video presentation (4). Students who start the capstone early in the year consistently find the rest of the practical scheme — file, lab test on Python and Orange Data Mining, viva — far less stressful.
Where is the syllabus PDF from CBSE itself?
CBSE’s canonical PDF for the 2026-27 session: 843-AI-XII.pdf on cbseacademic.nic.in. Treat any summary — including this one — as a convenience layer over that document, and check it for school-specific choices your teacher makes within the scheme.
How does Class 12 differ from Class 11 (same code)?
Code 843 spans both years but the units are entirely different: Class 11 builds foundations (Python, data literacy, ML algorithms, AI ethics), while Class 12 goes applied — computer vision, neural networks, generative AI and data storytelling. If you are choosing subjects now, see the Class 11 AI syllabus (Code 843) first, and the Class 9-10 pathway (Code 417) for how students usually arrive here. Our CBSE AI curriculum overview covers the whole ladder, and the Grade 12 learning path maps these units to practice lessons.
How should a student prepare?
The units that decide grades are the ones that need practice, not reading: Python, Orange Data Mining and the capstone. LittleAIMaster’s Grade 11-12 path covers neural networks, generative AI and data storytelling concept-first — the same ground as Part B — with interactive lessons rather than notes. 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.
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