CBSE Class 9 Artificial Intelligence (AI) Classes in Agra, Online Coaching

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Why this fits a Agra student

Most Agra schools follow the UP Board (UPMSP), with CBSE, ICSE/ISC and Cambridge schools alongside. We teach the CBSE, ICSE/ISC, Cambridge IGCSE, GSEB and NIOS computer subjects, not the UPMSP computer paper itself, so this course suits a Agra student in one of those schools.

✓Live classes at Indian Standard Time, never pre-recorded
✓Small batch or one-to-one, so a Agra student can interrupt and ask
✓Taught by Kajal Ma'am, teaching computer subjects since 2006
✓Free demo class before any payment

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What CBSE Class 9 Artificial Intelligence (AI) covers

8 units. Tap any unit to see its topics.

01Part A - Employability Skills+

Unit 1: Communication Skills-I
Unit 2: Self-Management Skills-I
Unit 3: Information and Communication Technology (ICT) Skills-I
Unit 4: Entrepreneurial Skills-I
Unit 5: Green Skills-I

02Part B - Unit 1: AI Reflection, Project Cycle and Ethics+

AI Reflection: introduction to AI and its daily-life applications
The three realms/domains of AI: Data, Computer Vision and Natural Language Processing (AI games)
AI Project Cycle framework: Problem Scoping, Data Acquisition, Data Exploration, Modeling, Evaluation, Deployment
Problem scoping with the 4Ws problem canvas, goal setting and stakeholders
Data acquisition, data features and system maps
Data exploration and visualization using graphical tools
Modeling: Rule-based and Learning-based models
Evaluation terms: True Positive, False Positive, True Negative, False Negative
Deployment of AI solutions
AI Ethics, AI bias and AI access; advantages and disadvantages of AI

03Part B - Unit 2: Data Literacy+

Basics of data literacy and its importance
Informed decision-making, critical thinking and the Data Literacy Process Framework
Data privacy vs data security, data breaches and cyber security best practices
Acquiring data: types of data and acquisition methodologies
Data preprocessing, processing and interpretation; types and importance of data interpretation
Project: Interactive Data Dashboard and presentation (e.g. Tableau, Datawrapper)

04Part B - Unit 3: Math for AI (Statistics & Probability)+

Importance of Math for AI: Statistics, Linear Algebra, Probability, Calculus
Finding patterns in numbers and images; number patterns and picture analogy
Statistics: definition and real-life applications (disaster management, sports, disease prediction, weather forecast)
Data collection, analysis and interpretation activities
Probability: calculating probability, types of events
Applications of probability (sports, weather forecast, traffic estimation)

05Part B - Unit 4: Introduction to Generative AI+

Defining Generative AI and classifying its kinds
How Generative AI works and learns; Generative AI vs Conventional AI
Types and examples of Generative AI
Benefits and limitations of Generative AI
Hands-on with Generative AI tools (e.g. GAN Paint)
Ethical considerations of using Generative AI

06Part B - Unit 5: Introduction to Python+

Introduction to programming through gamified platforms (e.g. CodeCombat)
Introduction to Python language and its applications
Python basics: variables, arithmetic/comparison/logical/assignment operators, expressions
Data types (integer, float, string), type conversion, print() and input() functions
Flow of control and conditions: if, for and while statements
Python Lists and simple list operations

07Part C - Practical Work (Python)+

Practical file of minimum 15 Python programs
Print/output programs (personal info, patterns, calculations, tables, simple interest)
Input-based programs (area/perimeter, average marks, discounts, surface area/volume)
List programs (create, modify, index, slice, extend, sort)
Conditional and loop programs (voting check, grade check, even/odd, sums)

08Part D - Project Work / Field Visit / Student Portfolio+

Create an AI model using Teachable Machine or Machine Learning for Kids
SDG-linked project: 4Ws problem canvas, system map and spreadsheet data visualization with an AI-enabled solution
Field visit (physical or virtual) to an industry/IT company using AI, with a report
Student portfolio of minimum 5 AI activities (e.g. Letter to Future Self, Smart Home Floor Plan, 4Ws canvas, System Map)

See the full CBSE Class 9 Artificial Intelligence (AI) course →

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Students across Agra

A student anywhere in Agra can take CBSE Class 9 Artificial Intelligence (AI) with us — Cantonment, Civil, Dayalbagh or Kamla included — because the class is online and there is no centre to travel to. Agra sits in Uttar Pradesh, where the UP Board (UPMSP) runs alongside the national boards, so we are asked about both.

Every class is live at Indian Standard Time, in a small batch or one-to-one. Nothing is pre-recorded, so a student in Agra asks questions in the moment. Recordings are provided for revision only.

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What students & parents say

4.9/5 from 36 verified reviews.

“

★★★★★

Dear Kwickprep team, Thank you very much for your support to my son during this two years. Good Team, Great efforts. Thank you once again.

Rithvik's Parents

Parent

“

★★★★★

I have enrolled in the Kwick Revision course, which is designed for 10 days. They have covered all the topics in meticulous time. The teaching method was good. Study materials and course content were up to the mark. Educators resolved doubts within the committed time only.

Shilp Shah

Student

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Frequently asked questions

Do you teach CBSE Class 9 Artificial Intelligence (AI) to students in Agra?+

Yes. Classes are live and online, so a student in Agra joins the same small batch or one-to-one session as anyone else, at Indian Standard Time, taught by Kajal Ma'am.

Which board does this suit in Agra?+

How many units are in CBSE Class 9 Artificial Intelligence (AI)?+

8 units.

Is there a free demo class for Agra students?+

Yes. You see a real class before any payment. Message us on WhatsApp and we will arrange it.

Book a free demo for CBSE Class 9 Artificial Intelligence (AI) in Agra