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Class 10

Artificial Intelligence (AI) for Class 10 CBSE

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Artificial Intelligence for Class 10 for CBSE Includes all the Syllabus and the content provided by CBSE through Handbooks and Facilitators.

As a beginning in this direction, CBSE introduced Artificial Intelligence as an optional subject at Class IX from the Session 2019-2020 onwards.

Also, to enhance the multidisciplinary approach in teachinglearning so as to sensitize the new generation, it was decided that schools may start AI “Inspire Module” of 12 hours at class VIII itself. CBSE has extended this subject to class X as well from the Session 2020-2021.



AI Syllabus for Class 10


Part - A | employability Skills



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Unit 1. Communication Skills-II
1. Methods of Communication : Verbal , Non Verbal and Visual
2. Communication cycle and importance of feedback
3. Descriptive feedback - written comments or conversations
4. Specific and nonspecific feedback
5. Barriers to effective communication – types and factors
6. Measures to overcome barriers in effective communication
7. Principles of effective communication
8. Cs of effective communication
9. Basic Writing Skills
Unit 2. Self Management Skills-II
1. Meaning and importance of stress management
2. Stress management techniques – physical exercise, yoga, meditation
3. Enjoying, going to vacations and holidays with family and friends
4. Taking nature walks
5.Importance of the ability to work independently
6. Describe the types of selfawareness
7. Describe the meaning of selfmotivation and self- regulation
Unit 3. ICT Skills-II
1. Classes of operating systems
2. Menu, icons and task bar on the desktop
3. File concept, file operations, file organization, directory structures, and file- system structures
4. Creating and managing files and folders
5. Importance and need of care and maintenance of computer
Unit 4. Enterpreneurial Skills-II
1. Entrepreneurship and society
2. Qualities and functions of an entrepreneur
3. Role and importance of an entrepreneur
4. Myth about entrepreneurship
5. Entrepreneurship as a career option
Unit 5. Green Skills-II
1. Definition of sustainable development
2. Importance of sustainable development
3. Problems related to sustainable development


  • Part - B | Subject Specific Skills



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    Chapter 1. Introduction to AI : Foundational Concepts
    1. Introdcution to Artificial Intelligence for 10th
    2. Human Intelligence and Artificial Intelligence
    3. What is artificial Intelligence and What is Not ?
    Chapter 1.1 Basics of AI : Lets Get Started
    1. AI related terminologies
    2. AI, ML and DL 
    3.omains of AI (Data , CV & NLP)
    4. Applications of AI
    5. Ethics In Artificial Intelligence
    Chapter 2. Artificial Intelligence Project Cycle
    1. Artificial Intelligence Project Cycle
    2. Flow Chart (AI Project Cycle)
    2. First Stage Problem Scoping
    3.Sustainable Development Goals
    4. Stage two Data Acquisition
    5. Data Exploration ( Visualising Data )
    Chapter 2.2 Modelling the Enviroment of AI
    1. Introduction to Modelling
    2.Introduction to Rule Based and Learning Based AI Approaches
    3.Introduction to Supervised Unsupervised and Reinforcement Learning Models
    5. Final Stage - Evaluation ( Evaluating the Idea )
    Chapter 3. Advance Python
    1. Jupyter Notebook
    2. Introduction to Virtual Enviroment
    3. Introduction to Python and Applications
    Chapter 3.1 Basics of Python
    1. Python Statements and Comments
    2. Python Keywords And Indentifiers
    3. Variables in Python
    4.Python Datatypes
    5. Python Inputs
    6. Python Operators
    7. Python Conditional Statements
    8. Loops In Python
    9. Python Packages
    Chapter 4 Data Sciences
    1. Introduction To Data Science
    2. Applications of Data Sciences
    Chapter 4.1 Getting Started in Data Science
    1. Revisiting AI Project Cycle
    2. Data Collection
    3. Data Access
    Chapter 4.2 Concepts of Data Science
    1.Python for Data Sciences
    2. Statistical Learning
    3. Data Visualization
    Chapter 4.3 Data Sciences: Classification Model
    1. Personality Prediction
    2. Understanding K-Neighbour Model
    Chapter 5. Computer Vision
    1. Introduction to Computer Vision
    2. Applications of Computer Vision
    3. Computer Vision Tasks
    4. Image Features
    Chapter 5.1 OpenCV
    1. Introduction to OpenCV
    2. Image Processing
    Chapter 5.2 Covolution
    1.Understanding Covolution Operator
    2.What is Covolution Neural Network (CNN)
    3.Understanding CNN - Kernel
    4.Layers of Covolution Neural Network (CNN)
    Chapter 6 Natural Language Processing
    1.Introduction to Natural Language Processing (NLP)
    2.Applications of NLP
    3.Revisiting AI Project Cycle
    4.Introduction to Chatbots
    5.Human Language VS Computer Language
    Chapter 6.1 Concepts of Natural Language Processing
    1.Data Processing
    2.Bag of Words
    3.TFIDF: Term Frequency & Inverse Document Frequency
    4.NLTK : Natural Language ToolKit
    Chapter 7 Evaluation
    1.Introduction to Model Evaluation
    2.Model Evaluation Terminologies
    Chapter 7.1 Evaluation Methods
    1.Accuracy Method
    2.Precision Method
    3.Recall Method
    4.Which Metric is Important ?
    5.F1 Score Calculation



    Important Links

    Data in Artificial Intelligence What is Algorithm
    What is Project Cycle What is Artificial Intelligence