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CBSE Class 9 Artificial Intelligence (AI) Classes in Hosur

Live online CBSE Class 9 Artificial Intelligence (AI) coaching for students in Hosur, taught by Kajal Ma'am — 4.9/5 from 36 reviews. Free demo class first, no payment.

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Why this fits a Hosur student

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

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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 Hosur

We teach CBSE Class 9 Artificial Intelligence (AI) to students across Hosur and the rest of Tamil Nadu online, so nobody travels to a centre.

Every class is live at Indian Standard Time, in a small batch or one-to-one. Nothing is pre-recorded, so a student in Hosur 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.

“
★★★★★

I was able to get my doubts cleared and I had access to a lot of material. Always got response within the committed time.

V
Vibha
Student
“
★★★★★

Excellent course material. Well experienced Dedicated teacher helped my son did well in CBSE exam today.

C
Chandrakant Pal (Parent of Sankalp)
Parent
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Frequently asked questions

Do you teach CBSE Class 9 Artificial Intelligence (AI) to students in Hosur?+
Yes. Classes are live and online, so a student in Hosur 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 Hosur?+
Most Hosur schools follow the Tamil Nadu State Board (TN SB), with CBSE, ICSE/ISC and Cambridge schools alongside. We teach the CBSE, ICSE/ISC, Cambridge IGCSE, GSEB and NIOS computer subjects, not the TN SB computer paper itself, so this course suits a Hosur student in one of those schools.
How many units are in CBSE Class 9 Artificial Intelligence (AI)?+
8 units.
Is there a free demo class for Hosur students?+
Yes. You see a real class before any payment. Message us on WhatsApp and we will arrange it.

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