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CBSE Class 9 Artificial Intelligence (AI) Classes in Hassan

Live online CBSE Class 9 Artificial Intelligence (AI) coaching for students in Hassan, 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 Hassan student

Most Hassan schools follow the Karnataka Board / PUC (KSEEB), with CBSE, ICSE/ISC and Cambridge schools alongside. We teach the CBSE, ICSE/ISC, Cambridge IGCSE, GSEB and NIOS computer subjects, not the KSEEB computer paper itself, so this course suits a Hassan 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 Hassan

We teach CBSE Class 9 Artificial Intelligence (AI) to students across Hassan and the rest of Karnataka 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 Hassan 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.

“
★★★★★

Before joining Kwickprep, I honestly struggled a lot with Computer Science. I couldn't understand most of the concepts, but thanks to Kajal Ma'am, that completely changed. Her teaching helped me improve so much, and I'm really grateful for that. She's one of the best teachers I've ever had. She explains everything with so much clarity and patience, and even if I didn't understand something the first time, she would happily explain it again, as many times as needed. Yes, sometimes she got strict, but I know it was always for our own good. What I appreciated most was the way she helped us solve a variety of question papers during the Kwick Revision sessions. That really boosted my confidence. The course overall was great, the materials, the teaching, and the support. I'm quite satisfied with everything. Thank you, Kajal Ma'am and Kwickprep, for helping me grow in a subject I once found impossible!

S
Sankalp C Pai
Student
“
★★★★★

I have joined kwick revision course before board examination. It found very useful for preparation of board examination. Educator cover all the topics. Investment of time was worth. Study material and sample paper practice were well organised.

V
Vedant
Student
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Frequently asked questions

Do you teach CBSE Class 9 Artificial Intelligence (AI) to students in Hassan?+
Yes. Classes are live and online, so a student in Hassan 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 Hassan?+
Most Hassan schools follow the Karnataka Board / PUC (KSEEB), with CBSE, ICSE/ISC and Cambridge schools alongside. We teach the CBSE, ICSE/ISC, Cambridge IGCSE, GSEB and NIOS computer subjects, not the KSEEB computer paper itself, so this course suits a Hassan 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 Hassan 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 Hassan

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