Artificial Intelligence (AI)

Artificial Intelligence (AI)

Step into the exciting world of Artificial Intelligence (AI) and discover how machines learn, think, and solve real-world problems. This beginner-friendly course introduces students to AI concepts through interactive activities, visual tools, and hands-on projects. From creating smart chatbots to exploring image recognition and machine learning, students develop future-ready skills while learning how AI is transforming industries worldwide.

Date created

August 8, 2019

Last updated

January 20, 2023

Students

14

Room

3

BOOKS

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PRACTICAL LIFE

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Why This Class?

  • 🤖 Learn the Technology of the Future

    Artificial Intelligence is shaping the future of healthcare, education, robotics, gaming, finance, and countless other industries. Learning AI today prepares students for tomorrow’s opportunities.

    🧠 Develop Computational Thinking

    Students improve logical reasoning, analytical thinking, and problem-solving skills by understanding how intelligent systems make decisions.

    💡 Explore Real-World AI Applications

    Discover how AI powers voice assistants, self-driving cars, recommendation systems, facial recognition, virtual assistants, and smart devices.

    💻 Hands-on Learning

    Students build exciting AI-powered projects using beginner-friendly tools and platforms without requiring advanced programming knowledge initially.

    🎯 Learn Machine Learning Fundamentals

    Understand how machines learn from data, recognize patterns, and make predictions through engaging examples and activities.

    🎨 Combine Creativity with Technology

    Design AI chatbots, image classifiers, simple recommendation systems, and interactive applications that encourage innovation.

    🌍 Build Future Career Skills

    AI is one of the fastest-growing career fields. This course provides an excellent foundation for future studies in Data Science, Robotics, Software Development, and Machine Learning.

    🤝 Collaborative Project-Based Learning

    Students work on exciting challenges, mini-projects, and real-world scenarios while receiving personalized guidance from expert instructors.

    🔒 Learn Responsible AI

    Understand ethical AI, data privacy, bias, and responsible use of intelligent technologies.

    🏆 Create an AI Portfolio

    By the end of the course, students will have multiple AI projects that demonstrate their understanding of modern AI concepts.

Content

Schedule

Mon-Wed 08:00 AM - 05:00 PM
Thu-Fri 08:00 AM - 05:00 PM
Sat-Sun 08:00 AM - 01:00 PM

Course Overview at a Glance

  • Age Group: 12–18 Years (Flexible for motivated younger learners and beginners)

    Level: Beginner to Intermediate

    Course Duration: 3–6 Months

    Class Format: Live Online Interactive Sessions

    Session Duration: 1 Hour

    Class Frequency: 2–3 Classes per Week

    Projects Included:

    • AI Chatbot
    • Image Recognition App
    • Voice Assistant
    • Smart Quiz Generator
    • Sentiment Analysis
    • AI Story Generator
    • Recommendation System
    • AI Game Bot

    Final AI Capstone Project

Learning Path

📅 Month 1 – Introduction to Artificial Intelligence

AI Fundamentals

  • What is Artificial Intelligence?
  • History and evolution of AI
  • AI vs Machine Learning vs Deep Learning
  • Real-life AI applications
  • Ethics and responsible AI

Activities

  • AI in everyday life
  • Interactive AI demonstrations
  • Understanding intelligent systems

Mini Projects

  • AI-powered Quiz
  • AI Image Explorer

📅 Month 2 – Python for AI

Python Basics

  • Variables
  • Data Types
  • Operators
  • Conditions
  • Loops
  • Functions
  • Lists & Dictionaries

Working with Python

  • Installing Python
  • Jupyter Notebook
  • Google Colab
  • Basic coding exercises

Mini Projects

  • Calculator
  • Number Guessing Game
  • Student Grade Analyzer

📅 Month 3 – Machine Learning Basics

Introduction to Machine Learning

  • What is Machine Learning?
  • Types of Machine Learning
  • Training data
  • Predictions
  • Accuracy
  • Model evaluation

Beginner-Friendly Libraries

  • NumPy
  • Pandas
  • Matplotlib

Mini Projects

  • House Price Prediction
  • Student Performance Predictor
  • Weather Prediction Demo

📅 Month 4 – Computer Vision & AI Applications

Image Recognition

  • Introduction to Computer Vision
  • Image Classification
  • Object Detection
  • Face Detection

AI Tools

  • Google Teachable Machine
  • TensorFlow (Introduction)
  • Image datasets

Mini Projects

  • Animal Classifier
  • Fruit Recognition
  • Hand Gesture Detector

📅 Month 5 – Natural Language Processing (NLP)

Language AI

  • What is NLP?
  • Text analysis
  • Sentiment analysis
  • Translation
  • Chatbots

Build AI Applications

  • AI Chatbot
  • FAQ Assistant
  • Smart Text Generator

Mini Projects

  • Customer Support Bot
  • Emotion Detection
  • AI Story Generator

📅 Month 6 – Advanced Projects & AI Portfolio

AI Integration

  • Combining AI concepts
  • AI workflow
  • AI deployment basics
  • Future AI trends

Final Capstone Project

Students design and develop their own AI-based application by combining the concepts learned throughout the course.

Portfolio Development

  • Project documentation
  • Presentation skills
  • Career guidance
  • AI showcase

Certificate Project

Students present their AI solution and receive a completion certificate.

What You Need to Know?

  1. 💻 No Advanced Coding Experience Required

    The course is designed for beginners and gradually introduces programming and AI concepts.

    💻 Laptop or Desktop Required

    A Windows, macOS, or Linux computer is recommended for coding, running AI tools, and completing projects.

    🌐 Stable Internet Connection

    Required for live classes, accessing cloud-based AI platforms, and submitting assignments.

    🛠 Free Software & Tools

    Students will use beginner-friendly and industry-standard tools such as:

    • Python
    • Visual Studio Code
    • Jupyter Notebook
    • Google Colab
    • Google Teachable Machine
    • TensorFlow (Introduction)

    📚 Curiosity & Problem-Solving Mindset

    A willingness to explore, experiment, and learn is the most important requirement for success in AI.

    ⏰ Practice Outside Class

    Students are encouraged to spend 30–60 minutes practicing coding and AI activities between sessions to strengthen their understanding.

    📁 Project-Based Learning

    Every major topic includes hands-on projects, allowing students to build a portfolio of AI applications and gain practical experience.

    👨‍👩‍👧 Parent Support (For Younger Learners)

    Parents are encouraged to motivate younger students, ensure regular attendance, and celebrate progress as they build future-ready technology skills.

    🚀 By the End of the Course

    Students will understand the fundamentals of Artificial Intelligence, Machine Learning, Computer Vision, and Natural Language Processing. They will confidently build beginner-level AI applications, create a portfolio of real-world projects, and gain the foundational knowledge needed to pursue advanced studies in AI, Data Science, Robotics, and Software Development.

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