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Artificial Intelligence (AI) Syllabus for Class 7 CBSE

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Artificial Intelligence for Class 7 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 7



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Chapter 1. Introduction to Artificial intelligence
1. What Is Artificial Intelligence
2. Risks Of Artificial Intelligence
3. Goals Of Artificial Intelligence
4. Intro to AI Quiz 1
5. Artificial Intelligence in Education 
6. Applications Of Artificial Intelligence
7. History Of Artificial Intelligence
8. Intro to AI Quiz 2
Chapter 1.1 Domains of Artificial Intelligence
1. Flow Chart (Domains of AI)
1. Data - Audio, Video, Text, Big Data
2. Computer Vision - Face Recognition, CIBR (Concept Based Interview), Smart Interaction
3. Natural Language Processing (NLP) - NLU and NLC
4. Domains of AI Quiz 1
Chapter 2. Artificial Intelligence Project Cycle
1. What is Artificial Intelligence Project Cycle
2. Flow Chart (AI Project Cycle)
2. First Stage Problem Scoping
3. Stage two Data Acquisition
5. Third Stage Modelling the Enviroment of AI
4. Final Stage - Evaluation
Chapter 3. Introduction to Neural Networks In Artificial Intelligence
1. Introduction To Neural Networks for Artificial Intelligence
3. Use Of Neural Networks In Our Everyday Life
4. Relation between Artificial Intelligence Neural Networks And Human Nervous System
5. The Functioning of Human Brain
6. Struggles In Creating Brain Like Neural Networks for Artificial Intelligence
7. Artificial Neuron Network With Two Hidden Layers
9. What Applications Should Neural Networks Be Used For
12. How Information Flows Through Artificial Neural Networks
Chapter 4. Introduction to Python
1. Introduction To Python (Intro , Syntax )
2. Compiler , Interpreter and IDE
3. Using IDE For Learning Basic Python Programming Skills
5. Practical Python Basics
6. How print() works in Python
7. Comments In Python
8. Variables In Python
9. Assigning Values To Multiple Variables In Python
10. Rules For Naming Variables In Python
11. DATA Types In Python Programming
12. Arithmetic Operators for Python
13. Statements And Expressions For Pythons
14. Pythons Inbuilt Function Input
15. More On Print() in Python


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