Artificial Intelligence Course: Class – IX (Subject Code- 417)

We are creating a new course to cover all topics for the class IX skill-based subject: Artificial Intelligence (Subject Code—417). It is a very interesting and scoring subject. Good marks can easily be scored in Artificial Intelligence with a step-by-step learning approach, practice, and little effort.

Follow my blogs for regular learning and topic-wise practice questions, and coding problems.

You can find the complete syllabus of ARTIFICIAL INTELLIGENCE (SUBJECT CODE 417) CLASS – IX (SESSION 2025-2026) by clicking on the link given below.

Download Artificial Intelligence (Subject Code- 417) Class – IX (Session 2025-2026) Syllabus

Marks Distribution

Total Marks: 100 (Theory-50 + Practical-50)

Syllabus Overview

The syllabus for AI is divided into 4 sections.

PART A – Employability Skills

Part A consists of communication, self-management, ICT, Entrepreneurial, and green skills, and each unit is of 2 marks maximum.

UNITS	MAX. MARKS
Unit 1: Communication Skills-I	2
Unit 2: Self-Management Skills-I	2
Unit 3: ICT Skills-I	2
Unit 4: Entrepreneurial Skills-I	2
Unit 5: Green Skills-I	2
Total	10

PART B – Subject Specific Skills

Part B is a subject-specific skills section that consists of 40 marks. It has 5 units, and to learn these units in detail, click on the unit’s name.

UNITS	MAX. MARKS for Theory and Practical
Unit 1: AI Reflection, Project Cycle, and Ethics	10
Unit 2: Data Literacy	10
Unit 3: Math for AI (Statistics & Probability)	7
Unit 4: Introduction to Generative AI	5
Unit 5: Introduction to Python	8
Total	40

PART C – Practical Work

Part C consists of practical work based on the introduction to Python chapter. We will learn the basics of Python and Python programming in this section. You will get ready for the practical examination and viva voce as we progress.

PRACTICAL WORK	MAX. MARKS
Practical File of Unit 5: Introduction to Python. (minimum 15 programs)	15
Practical Examination ● Simple programs using input and output functions ● Variables, Arithmetic Operators, Expressions, Data Types ● Flow of control and conditions ● Lists * Any 3 programs based on the above topics	15
Viva Voce	5
Total	35

PART D – Project Work

Part D is the project work where students can do project work or visit the field, or make their portfolio. We will guide you about it as the course progresses.

PROJECT WORK	MAX. MARKS
Project Work / Field Visit / Student Portfolio * relate it to Sustainable Development Goals	15
Total	15

Grand Total = PART A + PART B + PART C + PART D = 100 Marks

Conclusion

This course is designed for Class-IX students who want to learn AI with practice work to set up the foundation for Class-X skill-based AI.

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Artificial Intelligence Complete Course: Class – IX (Subject Code- 417)

Marks Distribution