CBSE Exam Ready Grade 9 Artificial Intelligence - Full course -(Hurry up)

Explore the full course of AI with solved question papers

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Created by Simranjeet kaur Last Updated 02/01/2025 16:23

₹499.00 ₹999.00 50.05% off

What's Included

  • 3 Lectures
  • 2 downloadable resources
  • Access on tablet and phone
  • Certificate of completion

Preview

What you'll learn

  • Grade 9 Artificial Intelligence (CBSE) - Quick Syllabus Overview
  • The Grade 9 CBSE AI curriculum introduces students to the fundamentals of Artificial Intelligence, emphasizing experiential learning and ethical AI practices. This course aims to develop essential 21st-century skills like critical thinking, creativity, and problem-solving while preparing students for AI-powered futures.

Course Curriculum

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3 Lectures

00:00

AI Syllabus 1 Lectures
CLASS 9 –AI Unit 1: AI Reflection, Project Cycle and Ethics 2 Lectures
Lecture 3 English 0 Lectures
English 0 Lectures

Description

This course aligns with the CBSE AI syllabus and ensures students have access to all necessary resources to succeed.

 

Grade 9 Artificial Intelligence (CBSE) - Quick Syllabus Overview

The Grade 9 CBSE AI curriculum introduces students to the fundamentals of Artificial Intelligence, emphasizing experiential learning and ethical AI practices. This course is designed to equip students with essential 21st-century skills like critical thinking, creativity, and problem-solving, preparing them for AI-driven futures.

Course Breakdown:

  1. Introduction to AI:

    • Overview of Artificial Intelligence.
    • AI applications in daily life.
    • Difference between AI, Machine Learning, and Deep Learning.
  2. AI Domains:

    • Data Acquisition and Processing.
    • Computer Vision, Natural Language Processing (NLP), and Robotics.
  3. AI Ethics and Social Impact:

    • Responsible AI use.
    • Addressing biases and ensuring fairness.
    • Data privacy and security concerns.
  4. AI Project Cycle:

    • Defining problems and setting objectives.
    • Data collection, training, and testing models.
    • Real-world project implementation.
  5. Practical Skills & Tools:

    • Working with AI-based tools like Google Teachable Machine, PictoBlox, or Scratch.
    • Basics of Python programming (optional for practical understanding).
  6. Case Studies & Projects:

    • Real-life AI case studies for understanding societal impact.
    • Hands-on group or individual projects to solve everyday problems.

This course aligns with the CBSE AI syllabus, setting a solid foundation for students to pursue advanced studies and careers in AI.

Instructors

2 Courses

3 Students

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