AI Course Design for Class 5 to Class 10

Objectives of the Course

Introduce students to the fundamentals of AI and its real-world applications.
Develop problem-solving and critical thinking skills through hands-on AI projects.
Provide a solid foundation in programming languages and data science.
Explore advanced AI concepts such as computer vision, NLP, and generative AI.
Equip students with the skills to develop their own apps, websites, and software.
Ensure students understand the ethical implications and security concerns related to AI.

Learning Outcomes

By the end of this course, students will:
  • Understand the basics of AI and its evolution.
  • Be proficient in Python and basic to advanced SQL.
  • Develop and implement AI projects.
  • Understand and apply data science concepts.
  • Build and deploy simple to complex AI models.
  • Gain practical skills in computer vision, NLP, and generative AI.
  • Develop applications and websites using AI tools.
  • Be aware of cybersecurity measures and ethical considerations in AI.
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Course Breakdown by Class

Module 1: Introduction to AI and Computers
- What is AI?
- History and Evolution of AI
- Basic components of a computer
Introduction to AI :
- Definition of AI
- Examples of AI in daily life
Basic Computer Operations :
- Turning on/off a computer
- Using the keyboard and mouse
- Internet safety basics
MS Office & MS 365 Introduction :
Module 1: Overview and Basics:
  • What is MS Office?
  • Introduction to MS 365 and Cloud Features
  • Understanding the Interface

Practical Exercise:
  • Open MS Word and explore the interface. Write a sentence about your day and save the document.
Module 2: Creating and Formatting Documents
• Basics of MS Word Interface
• Typing, Formatting Text And Mail Marge

Practical Exercise:
  • Create a document about your favourite animal and Biodata. Change the font style and color.
Module 3: Basics of MS Paint
• Overview of MS Paint Interface
• Drawing and Coloring

Module 4: Introduction to Programming
• Basic concepts of programming
• Introduction to Scratch Programming

Welcome to AI Fundamentals!

Welcome students! Today, we'll start an exciting journey into the world of Artificial Intelligence. Let's begin by understanding what AI is and its importance in today's world.

Module 1: Advanced Document Creation
• Using AI-powered Tools (Editor, Designer)
• Inserting AI-generated Images

Practical Exercise:
  • Create a document about your favourite hobby. Use the AI Editor to check grammar and insert an AI-suggested image.
Module 2: Creating and Managing Spreadsheets
• Basics of MS Excel Interface
• Using AI-powered Tools (Ideas, Data Analysis)

Practical Exercise:
  • Create a budget spreadsheet for a school project. Use the AI Ideas tool to analyze your data and suggest improvements.
Module 3: Designing Effective Presentations
• Basics of MS PowerPoint Interface
• Using AI-powered Tools (Designer, Presenter Coach)

Practical Exercise:
  • Create a presentation on a topic of your choice. Use Designer to enhance your slides and Presenter Coach to practice your delivery.
Module 4: Using OneDrive for Cloud Storage
• Basics of OneDrive Interface
• Uploading and Sharing Files
• Real-Time Collaboration with MS 365 Tools

Practical Exercise:
  • Upload a document to OneDrive and share it with a classmate. Work together to edit the document in real-time.
Module 1: Intermediate Python and Introduction to MYSQL
- Control Structures (if-else, loops)
- Introduction to MYSQL and Basic Queries
Module 2: AI Project Cycle
- Understanding AI Project Cycle
- Hands-on Project: Simple AI Game in Python

Module 1: Advanced Python and Data Science
- Functions, Modules, and Libraries
- Advanced Data Analysis with Pandas, Numpy
Module 2: Introduction to Computer Vision and NLP
- Basics of Computer Vision
- Introduction to Natural Language Processing

Module 1: Advanced AI Concepts
- Deep Learning and Neural Networks
- Introduction to Generative AI
Module 2: App Development, Web Development and Real-World AI Applications
- Building Simple Apps using AI
- Real-World AI Applications and Ethics

Module 1: Advanced AI Techniques and Projects
- Machine Learning Algorithms
- Advanced AI Projects
Module 2: Robotics, Software Development, and Cybersecurity
- Introduction to Robotics and AI
- Software Development Lifecycle
- Cybersecurity and Malware Protection

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