Is AI Compulsory in Class 9 and 10 CBSE? (2026-27 and 2027-28, Explained)
Short answer: No — AI is not compulsory in Class 9 or Class 10 CBSE in 2026-27. Class 10’s AI skill subject (code 417) remains an optional elective for the continuing batch; Class 9’s standalone AI courses are discontinued from 2026-27 per CBSE Circular Acad-18/2026; and the separate compulsory track — Computational Thinking & AI (CT & AI) — arrives as a compulsory subject for Class 9 from 2027-28, with school-based assessment. This guide covers what changed, the 417 syllabus for those completing it, and Codes 843 for Classes 11-12.
Key Takeaways
- ✓Class 9: standalone AI courses discontinued from 2026-27 (Circular Acad-18/2026); Class 10’s continuing 417 batch completes the elective
- ✓The syllabus covers AI fundamentals, data handling, machine learning basics, Python, and AI ethics
- ✓CT & AI becomes a compulsory subject for Class 9 in 2027-28 — school-based assessment and annual examination, not a board exam
What happened to Class 9 AI (417) in 2026-27?
CBSE Circular Acad-18/2026 (April 9, 2026, signed by Dr. Praggya M. Singh, Professor & Director (Academics)) states: “All other courses on AI being run till the session 2025-26 are being discontinued for class IX, session 2026-27 onwards.” Based on that circular, the standalone Class 9 AI offering — including the 417 skill elective — stands discontinued from 2026-27.
Note the contradiction on CBSE’s own site: the 2026-27 curriculum page still lists the Class IX AI (417) syllabus among optional subjects, but that PDF was published April 2, 2026 — a week before the circular. The later-dated circular discontinues standalone Class-IX AI even though the older syllabus PDF remains posted (as of August 2026). Schools should confirm through their CBSE regional office or LOC before offering 417 in Class 9.
What about students already doing AI in Class 10?
This part is unambiguous: “Students of class X for the session 2026-27 will continue with the scheme followed in the session 2025-26.” Students who took 417 in Class 9 in 2025-26 complete it in Class 10 in 2026-27 — that is the direct implication of the circular, which refers to “the scheme” rather than naming subject codes. The Class X 417 syllabus for 2026-27 is live on cbseacademic.nic.in.
Is AI still available in Classes 11-12?
Yes. AI (code 843) continues as an optional skill elective, and the 2026-27 syllabi for both years are published — see our unit-by-unit breakdowns for Class 11 and Class 12.
When does AI become compulsory in CBSE — and for whom?
Classes 3-8, from 2026-27: “From the academic session 2026–27, schools are directed to introduce Computational Thinking and Artificial Intelligence for students of Classes III to VIII in a developmental, age-appropriate, and competency-based manner…” — embedded in existing subject periods, low-tech, with no additional instructional time.
Classes 9-12, NCERT modules: NCERT is to provide CT & AI modules for internal assessment — with an unresolved date conflict inside CBSE’s own documents: Acad-18/2026 says the modules come “for the session 2026-27… as modules for internal assessment”, while the Secondary Curriculum Part 1 document says “in the Academic Session 2027-28”. Both are official CBSE documents; CBSE has not reconciled them.
Class 9, 2027-28: per the Secondary Curriculum footnote, “CT & AI as a compulsory subject in session 2027-28”, assessed by school-based internal assessment and annual examination — not a board exam — with “details will be informed in due course”.
Primary sources: Circular Acad-18/2026, Secondary Curriculum Part 1, 2026-27, 2026-27 curriculum page. CBSE’s own “Computational Thinking & AI” Class IX curriculum link returned a 404 as of Aug 31, 2026 — re-check before relying on it. Last verified 31 August 2026.
What Is the AI Subject Code 417, and Is AI Compulsory in Class 10?
Subject Code 417 is the national board's Artificial Intelligence subject for Classes 9 and 10. It was introduced as part of India's alignment with the National Education Policy (NEP) 2020, which emphasises computational thinking and AI literacy as core skills for all students.
Currently, AI is offered as an optional skill subject — schools can choose whether to include it. Separately, CBSE’s published curriculum plan announces a compulsory Computational Thinking & AI subject for Classes 9-10 in 2027-28 with school-based assessment — an announced plan, distinct from the optional Code 417 elective. If it proceeds, board-affiliated students will meet AI as part of their regular coursework.
The subject gives students a practical understanding of how artificial intelligence works. It is not purely theoretical — students work on projects, handle real data, and build simple AI models. The goal is to ensure that Indian students understand the principles behind AI, not just consume it.
Official Reference: Find the detailed AI curriculum on the national board's academic website. This is the authoritative source for syllabus updates, sample papers, and marking schemes.
What Does the Class 9-10 AI Subject (417) Syllabus Cover?
The syllabus for Classes 9-10 is divided into six units, each building on the previous one.
Introduction to AI
What is AI, types of AI (narrow vs general), real-world applications, AI in daily life
AI Project Cycle
Problem scoping, data acquisition, data exploration, modelling, evaluation
Machine Learning Basics
Supervised learning, unsupervised learning, training data, testing data, accuracy
Natural Language Processing
How computers understand text, sentiment analysis, chatbots, language translation
Computer Vision
Image recognition, object detection, facial recognition, real-world CV applications
AI Ethics and Bias
Responsible AI use, data bias, privacy concerns, societal impact of AI
A significant portion of the marks comes from the practical component. Students build AI projects — a chatbot, an image classifier, a data analysis project, or a recommendation system. The practical work reinforces theory and gives hands-on experience with real AI tools.
The emphasis on ethics (Unit 6) is particularly important. The national board wants students to understand not just how AI works, but the responsibility that comes with building and using it. Data bias, privacy, and the societal impact of automation are all part of the examination.
What Is the AI Subject Code for Class 11-12? (Code 843)
Students who develop an interest in AI during Classes 9-10 can continue with Subject Code 843 — AI as an elective in Classes 11-12. This deeper course covers ML algorithms in detail, introduces neural networks and deep learning, includes data science with Python, and explores real-world AI applications across healthcare, finance, and agriculture.
Students can choose this elective alongside science or commerce streams. It is particularly valuable for those considering careers in technology, data science, or AI research. The course outline aligns well with undergraduate AI and CS programmes — students who complete it enter college with a foundation many peers lack.
For the 2026-27 unit-by-unit breakdown with marks, read the Class 11 AI syllabus (843) and the Class 12 AI syllabus (843). If you are not sure which code applies to which class, see CBSE AI subject codes (417, 843, CT&AI) explained.
How Your Child Can Prepare Now
If your child is currently in Class 6, 7, or 8, they have a valuable window to build AI literacy before compulsory CT & AI reaches Class 9 in 2027-28. The national board AI syllabus topics overlap heavily with what LittleAIMaster teaches in its structured learning path. AI fundamentals, data patterns, ML basics, introductory Python, and AI ethics are all covered in our Grade 6-12 curriculum. Starting early means the AI subject becomes revision, not new material.
Start Early
Begin with AI fundamentals in Grade 6-7. Build understanding before it becomes a school requirement.
Build Concepts
Focus on understanding how AI works, not memorising definitions. The AI subject tests application, not recall.
Practice Python
Python is the language used in the AI subject. Even basic familiarity gives students a head start.
Do Projects
The practical component carries significant marks. Students who have built AI projects before Class 9 will be confident.
Explore the Grade 9 curriculum to see how LittleAIMaster covers the exact topics in the national board AI syllabus.
How LittleAIMaster Maps to the National Board AI Subject
Our curriculum was designed with Indian education standards in mind. Here is how our grade-wise content maps directly to the national board AI syllabus.
| Board Topic | Class Level | LittleAIMaster |
|---|---|---|
| Introduction to AI AI fundamentals, types, and everyday applications | Class 9-10 | Grade 6-7 |
| AI Project Cycle Problem definition, data collection, model building, testing | Class 9-10 | Grade 8-9 |
| ML and NLP Supervised/unsupervised learning, text analysis, pattern recognition | Class 9-10 | Grade 9-10 |
| Advanced AI (Code 843) Neural networks, deep learning, data science with Python | Class 11-12 | Grade 11-12 |
LittleAIMaster introduces these concepts progressively. Instead of encountering AI, ML, NLP, and Computer Vision all at once in Class 9, students build up understanding over several years. By the time the AI subject becomes formal, these topics are revision rather than new material.
What we noticed building this mapping: when we lined up our chapter list against the official 417 units, the single biggest gap for Indian students was not machine learning — it was Unit 2, the AI Project Cycle. Most kids can define "supervised learning," but freeze when asked to scope a problem and pick a dataset. That is exactly the part the practical exam rewards, so it is where we spend the most hands-on chapters.
Tips for Students Taking the AI Subject
Whether you are currently studying AI in school or preparing ahead of CBSE’s announced CT & AI rollout, these practical tips will help you do well.
Practice Python Basics Early
You do not need to be an expert programmer, but you should be comfortable with variables, loops, lists, and basic functions. The practical component uses Python, and familiarity with syntax removes a major hurdle.
Understand Data Before Algorithms
Many students jump straight to machine learning without understanding data. Learn how to collect, clean, and explore data first. An ML model is only as good as the data it learns from — and the board tests this understanding.
Build 2-3 AI Projects Before the Exam
Do not rely solely on textbook examples. Build at least two or three projects of your own — a simple classifier, a chatbot, or a data analysis project. This deepens your conceptual understanding.
Don't Just Memorise — Understand
The AI subject questions increasingly test application and reasoning, not recall. Understand how a decision tree splits data and why we need training and testing sets. Memorising definitions alone will not work.
Use LittleAIMaster for Concept Clarity
Our app explains AI concepts in a structured, student-friendly way that complements school textbooks. Use it alongside your school work to fill gaps and reinforce understanding. The learning path follows a logical progression that matches the national board syllabus structure.
Frequently Asked Questions
Is the AI subject compulsory?
Not in 2026-27. Class 9’s standalone AI is discontinued (Circular Acad-18/2026); Class 10’s continuing batch completes the 417 elective; compulsory CT & AI reaches Class 9 in 2027-28 with school-based assessment. See the full two-track answer above and confirm specifics with your school’s CBSE regional office. More schools add AI-adjacent options each next couple of years. Starting preparation now is a smart move.
What is the AI subject code?
The subject code is 417 for Classes 9-10 (AI as a skill subject) and 843 for Classes 11-12 (AI as an elective). These codes are used in the national board examination system for registration and result processing.
Is the AI subject difficult?
The concepts are not inherently difficult if you build understanding gradually. Rote learning will not work — you need to understand how AI actually works, including data patterns, model training, and the reasoning behind algorithms. Students who start with foundational concepts and progress step by step find it manageable and even enjoyable.
Can I prepare for the AI subject at home?
Yes. Self-paced learning through apps like LittleAIMaster covers the same topics as the national board AI syllabus. You can start with Unit 1 for free and build up your understanding before the subject begins in school.
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