CBSE Class 9 Artificial Intelligence Syllabus 2026-27 Download PDF Here
Access the complete CBSE Class 9 Artificial Intelligence (Subject Code 417) syllabus for the 2026-27 academic year. Check paper structure, 2026-27 curriculum, prescribed books and other exam details along with syllabus PDF.
The Central Board of Secondary Education has officially released the Class 9 syllabus for all subjects. For optional subjects like Artificial Intelligence (Subject Code 417) students can find a direct link to download a PDF from here. This will help outline the topics to be covered for the 2026-27 session, and offers a clear understanding of the subject.The CBSE Class 9 Artificial Intelligence curriculum includes chapters like tech literacy, data science, and programming, aiming to build a root knowledge in Python and Generative AI. It follows a 100-mark evaluation structure dividing between theory and practicals. Students can explore the detailed chapter breakdown, marking scheme, and download the official CBSE syllabus PDF.
CBSE Class 9 Artificial Intelligence Syllabus 2026-27: Syllabus Update
There is no significant change prescribed by the CBSE for the 2026-27 academic session. For Artificial Intelligence (Subject Code 417) as a Skill-Based Elective subject for Class 9, includes major topics like data literacy, generative AI, and ethical technological practices. This is designed to promote tech literacy and AI advanced skills. The core structure has been reatined the same, with the focus on practical, competency-based assessments and generative AI concepts.
CBSE Class 9 Artificial Intelligence: Section-wise Weightage (2026–27)
The CBSE Class 9 Artificial Intelligence curriculum for the 2026–27 academic cycle follows 100 mark structure ( theory and practica). The curriculum is seggregated between Part A (Employability Skills) of 10 marks and Part B Subject-Specific Skills carrying 40 marks. While the remaining 50 marks are allocated to Part C’s practical exams and Python files (35 marks) and Part D’s sustainable development-focused project portfolio (15 marks).
-
Total Theory Marks: 50 Marks (Part A: 10 + Part B: 40)
-
Total Practical Marks: 50 Marks (Part C: 35 + Part D: 15)
-
Grand Total:100 Marks (210 Hours)
PART A: Employability Skills
| Units | Total Hours | Theory Marks | Practical Marks | Total Marks |
|---|---|---|---|---|
| Unit 1: Communication Skills-I | 10 | 2 | — | 2 |
| Unit 2: Self-Management Skills-I | 10 | 2 | — | 2 |
| Unit 3: ICT Skills-I | 10 | 2 | — | 2 |
| Unit 4: Entrepreneurial Skills-I | 15 | 2 | — | 2 |
| Unit 5: Green Skills-I | 05 | 2 | — | 2 |
| TOTAL (PART A) | 50 | 10 | — | 10 |
PART B: Subject Specific Skills
| Units | Total Hours | Theory Marks | Practical Marks | Total Marks |
| Unit 1: AI Reflection, Project Cycle & Ethics | 55 | 10 | — | 10 |
| Unit 2: Data Literacy | 50 | 10 | — | 10 |
| Unit 3: Math for AI (Statistics & Probability) | 25 | 07 | — | 07 |
| Unit 4: Introduction to Generative AI | 20 | 05 | — | 05 |
| Unit 5: Introduction to Python | 10 | 08 | — | 08 |
| TOTAL (PART B) | 160 | 40 | — | 40 |
PARTS C & D: Core Practical & Project Work
| Units / Assessment Components | Total Hours | Theory Marks | Practical Marks | Total Marks |
| PART C: Practical Work (Unit 5: Python) | ||||
| • Practical File (minimum 15 programs) | — | — | 15 | 15 |
| • Practical Exam (3 programs on syntax, loops & lists) | — | — | 15 | 15 |
| • Viva Voce | — | — | 05 | 05 |
| PART D: Project Work / Field Visit | ||||
| • Portfolio & Project Activity (linked to SDGs) | — | — | 15 | 15 |
| TOTAL (PARTS C & D) | — | — | 50 | 50 |
CBSE Class 9 Artificial Intelligence Syllabus (2026–27)
The CBSE Class 9 Artificial Intelligence syllabus is designed to promote tech literacy and AI-readiness among students. The curriculum includes 50-50 split between theoretical concepts and hands-on practical application, totaling 100 marks. Students will explore core foundational pillars including the AI project cycle, basic data literacy, essential math, introductory Python programming, etc. Check the table shared below to analyse the syllabus.
| S. No. | Units | Duration in Hours |
| 1. | Unit 1: Communication Skills-I | 10 |
| 2. | Unit 2: Self-management Skills-I | 10 |
| 3. | Unit 3: Information and Communication Technology Skills-I | 10 |
| 4. | Unit 4: Entrepreneurial Skills-I | 15 |
| 5. | Unit 5: Green Skills-I | 05 |
| TOTAL | 50 |
PART-B – SUBJECT SPECIFIC SKILLS
-
Unit 1: AI Reflection, Project Cycle and Ethics
-
Unit 2: Data Literacy
-
Unit 3: Math for AI (Statistics & Probability)
-
Unit 4: Introduction to Generative AI
-
Unit 5: Introduction to Python
For a detailed dissection of the syllabus check the link shared below. Students can click on the link to download CBSE Class 9 Artificial Intelligence syllabus PDF.
Check: CBSE Class 9 Artificial Intelligence syllabus PDF
The 2026–27 CBSE Class 9 Artificial Intelligence syllabus serves a comprehensive guide to technical coding logic with critical digital ethics. Students will be able to understand the foundational concepts and practical requirements, and can secure high scores. Download the official syllabus PDF to follow through the latest curriculum to prepare well for the exam.
Jaya Gupta is an Education Content professional with over four years of experience in writing marketing and academic content, alongside a year of experience working with an indie publishing house. Currently, she is covering higher education content for Jagran Josh (Jagran New Media), leveraging her academic knowledge. She specializes in covering management, engineering, law, medical colleges, study abroad and GATE exams. She holds a Master's degree in English Literature, successfully qualified the 2024 UGC NET, and has guided more than 100 students in framing effective study-abroad academic essays. Her writing interests vary across education, creative expression, and digital culture.
