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CBSE Class 9 Artificial Intelligence Syllabus 2025–26: A Complete Guide (With Practical Insights)

PART A – Employability Skills (Class 9 Artificial Intelligence – Code 417)

Unit No.Unit NameHoursMarksKey TopicsSuggested Activities
1Communication Skills – I102– Meaning & Importance of Communication
– Types: Verbal, Non-verbal, Written, Visual
– Communication Cycle
– Barriers & Solutions
– Role Play
– Group Discussions
– Body Language Practice
– Listening Drill
2Self-Management Skills – I102– Self-Awareness
– SWOT Analysis
– SMART Goals
– Time Management
– Self-Confidence
– Goal-Setting Journal
– Time Table Planner
– Personal SWOT Activity
3ICT Skills – I102– Introduction to ICT
– Computer Basics
– MS Word, Excel, PowerPoint (Basics)
– Internet and Email Safety
– Create Document in Word
– Email Practice
– Excel Budget Sheet
4Entrepreneurial Skills – I152– Who is an Entrepreneur?
– Characteristics
– Role in Society
– Myths vs Reality
– Interview a Local Entrepreneur
– Make a Business Idea Poster
5Green Skills – I52– Green Economy
– Sustainable Development
– Eco-friendly Practices
– Cleanliness Drive
– Poster on Sustainability
– Green Diary

PART B – Subject-Specific Skills (40 Marks)

Unit No.Unit NameHoursMarksKey TopicsSuggested Activities / Practicals
1Introduction to AI & Ethics5510– What is AI?
– Domains: NLP, CV, Data
– AI vs Traditional Programming
– AI Project Cycle (Problem, Data, Model, Evaluate)
– Ethics: Bias, Access, etc.
– Semantris (NLP)
– Quick Draw (CV)
– Rock-Paper-Scissors Game
– Moral Machine Activity
2Data Literacy5010– Importance of Data
– Cybersecurity Basics
– Data Types
– Interpretation & Visualization
– Collect & Explore Data
– Create Visuals (Tableau, Datawrapper)
– Dashboard creation
3Maths in AI – Statistics & Probability2510– Mean, Median, Mode, SD
– Data Types & Graphs
– Probability (Theory & Experiment)
– Dice Game
– Number Patterns
– Mini Survey & Data Analysis
4Introduction to Generative AI205– What is Generative AI?
– Applications (Image, Text, Music)
– Deepfakes, Ethics
– GAN Paint
– Text Gen Tool
– Real vs AI Image Game
5Introduction to Python Programming105– Syntax, print(), input()
– Variables, Operators
– If-else, Loops
– Lists
– Programs: Grade Checker, Sum of Numbers, List Average, etc.

PART C – Practical Work (35 Marks)

ComponentMarksDetails
Python Practical File15– At least 15 programs
– Cover: I/O, Conditions, Loops, Lists
Python Practical Exam15– Live coding test (basic logic-based problems)
Viva Voce5– Based on: Python concepts, AI games, project work, basic theory

Sample Programs to Include in Practical File:

Program NameConcept Covered
Sum of two numbersInput & Arithmetic
Even/Odd NumberIf-Else Condition
Grade CalculatorNested If
Factorial using loopWhile Loop
Find largest among 3 numbersConditions + Logical Ops
Reverse a ListList & Loops
Average of numbers in listLists + Loops
Voting eligibility checkerInput + Conditionals

PART D – Project Work / Portfolio / Field Visit (15 Marks)

Project OptionDetails
AI Model/Project Work– Follow AI Project Cycle: Problem → Data → Model → Evaluate
– Tools: Teachable Machine, Scratch, ML for Kids
Example Projects:– Emotion Detector
– Smart Bin Classifier
– Object Counter using CV
AI for Sustainable Development Goals– Choose any SDG (e.g. Education, Clean Water)
– Create solution via AI concept
– Poster, Report, or Working Model
Field Visit / Virtual Tour– Visit AI-powered organization or take online tour (e.g., Google AI, Amazon)
– Report with AI usage, challenges, impact
Portfolio (if project not done)– Compilation of worksheets, activities, AI ethics, data charts
– Posters: “AI for Good”, “Ethical AI”, “Smart Home Design”

Portfolio Sample Inclusions:

ActivityDescription
Smart Home PlanDraw or design AI-powered smart home layout
Data Collection ExerciseGather and organize sample dataset
Quick Draw LogSummary of attempts, accuracy rate
Ethics WorksheetDilemmas + decisions taken in AI scenarios
AI PosterCreative poster showing “AI for Social Good”

Comments

4 responses to “CBSE Class 9 Artificial Intelligence Syllabus 2025–26: A Complete Guide (With Practical Insights)”

  1. AI Flashcards Maker Avatar

    The practical activities like Quick Draw and Semantris are such a smart way to introduce students to AI concepts in a fun, hands-on way. This kind of early exposure can really spark curiosity and reduce the intimidation factor around tech-heavy subjects.

  2. Photo to Coloring Avatar

    The focus on both AI technical skills and employability skills like communication and self-management is spot-on for preparing students for the future. It’s great to see practical activities woven into the curriculum, as it will help them connect what they’re learning to real-world applications.

  3. AI Flashcards Maker Avatar

    Really appreciate how the syllabus breakdown includes hands-on activities like using Semantris for NLP and building dashboards with Tableau. It’s great to see practical exposure being integrated so early—it helps students actually experience how AI tools work instead of just reading about them.

  4. 4o Image API Avatar

    This breakdown of the AI syllabus is super helpful—especially the balance between technical concepts like NLP and Computer Vision with practical, hands-on activities like Semantris and the Rock-Paper-Scissors game. I also appreciate how the ethics and data literacy sections are given real weight, which is so important at this stage of learning AI.

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