Know the Class 9 AI Syllabus For Better Preparation

Syllabus

CBSE Class 9 Artificial Intelligence Syllabus to Plan your Preparation

Artificial intelligence is one of the crucial subjects that CBSE has highlighted in the Class 9 syllabus. This subject introduces students to the concept of artificial intelligence and makes them understand how it is used daily. The CBSE Class 9 AI syllabus comprises a list of chapters explaining this exclusive subject's basic concept at this secondary level of education.

By knowing the syllabus of this subject, students can design their study plans. It is one of the compulsory subjects that need the same priority for studying as the others in the entire syllabus. The unit-wise description of the syllabus will give you a clear idea of how the concepts are described and the marking schemes.

Last updated date: 29th May 2023

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CBSE Class 9 Artificial Intelligence Syllabus 2023-24

Compared to the other subjects, Artificial Intelligence is a new one introduced to the Class 9 syllabus. The CBSE board has identified its importance in modern-life academics and has decided to build a strong conceptual foundation among students by adding it to the syllabus.

This Artificial Intelligence Syllabus Class 9 CBSE is segmented into four different parts. Each part will introduce new concepts of this chapter to help Class 9 students to understand the importance of Artificial Intelligence and to develop relevant academic skills. Here is a brief description of the parts with proper marking schemes per the current CBSE syllabus.

Part A: Employability Skills

This is the first part of the CBSE Class 9 AI syllabus, where the following introductory chapters have been included.

Unit	Name	No. of Hours dedicated to the theory part	Marks allotted for the Theory part
1	Communication Skills - I	10	–
2	Self-Management Skills - I	10	3
3	ICT Skills - I	10	3
4	Entrepreneurial Skills - I	15	4
5	Green Skills - I	05	–
	Total	50	10

As we can see, five introductory chapters solely focus on skills related to self-management, communication, entrepreneurship, etc. Part A primarily focuses on introducing life-based skills among Class 9 students.

Part B – Subject-Based Skills

Unit	Unit Name	Max. Marks for Theory	Unit-wise Sections
1	Introduction to Artificial Intelligence (AI)	10	Excite Relate Purpose Possibilities AI Ethics
2	AI Project Cycle	15	Problem Scoping Data Acquisition Data Exploration Modelling
3	Neural Network	5	Proper explanation of Neural Network, and its concepts by using gamification methods
4	Introduction to Python	10	Introduction to Python, the programming language generally used for designing Artificial Intelligence projects
	Total	40

On the other hand, Part B is the first step to introduce the basic concepts and fundamental principles of Artificial Intelligence. If you look closely, you will find that the programming languages and concepts related to neural networking are included in this part.

Students will study the basics of Artificial Intelligence. It will explain how an artificial intelligence project is defined along with its life cycle. It will also explain how data is collected and used for creating an AI model.

Part C – Practical

Unit	Unit Name	Maximum Marks allotted for Practical
1	Introduction to Python Practical File comprising a minimum of 15 programs	15
	Practical Examination Simple programs using input and output function Variables, Arithmetic Operators, Expressions, Data Types Flow of control and conditions Lists * Students can choose any 3 of the above	15
	Viva Voice	5
	Total	35

Part C concentrates on delivering hands-on experience by encouraging students to complete programming projects. These projects will be based on the basic concepts of AI models built using Python. At the end of this part of the project, students will be asked fundamental questions by the teachers to check their level of understanding.

The marking scheme suggests that the practical work and viva will have 35 marks allotted. It encourages the experiential learning of AI concepts among students.

Part D – Project

Unit Name

Max. Marks for Practical

Project Work, Student’s portfolio or Field Visit

* all related to the sustainable development goals

Total

This part of the CBSE Class 9 AI syllabus will assist students in using their AI skills and knowledge to develop a project explaining sustainable development goals.

Class 9 AI syllabus for CBSE Preparation

The Artificial Intelligence Syllabus Class 9 CBSE explains AI's importance. It is a new subject that might be intimidating for the students. Focus on the topics taught in the class and seek online assistance from Vedantu’s subject experts to develop your concepts.

FAQs on Know the Class 9 AI Syllabus For Better Preparation

1. How many sections are there in the Class 9 CBSE AI syllabus?

There are four sections of the AI syllabus for CBSE Class 9. It has been carefully designed to introduce students to the basic concepts of AI at this level of education.

2. Do I have to study a programming language to understand AI?

As per the latest Class 9 AI syllabus, you will have to study Python, a programming language, to understand AI's basic modelling and coding concepts.

3. What is the best way to prepare for Class 9 AI exams?

Focus on the CBSE Class 9 AI syllabus and check the chapters' marking scheme. Find out how the questions are set in the textbook exercises and seek assistance from subject experts. Study the chapters in the syllabus well and practice to ace the exams.