AI and Machine Learning

Students explore the exciting world of Artificial Intelligence and Machine Learning! They learn how machines think, make decisions, and recognize patterns using real-world data. With hands-on projects, they build smart systems like chatbots, image recognizers, and more—no advanced math required!

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Course Details

Category: AI & Machine Learning for Kids (Summer Batch 2025)
Credit Hour: 4
Eligibility: 3-12 Grade
Duration: 3-6 Months
Program Delivery: Online
Projects: 50+ Activities

AI and Machine Learning Outline

Module 1: Introduction to AI & ML Concepts

  • What is AI? What is Machine Learning?
  • Real-world examples (chatbots, recommendation systems, image recognition)
  • Types of AI: Narrow vs. General
  • Types of ML: Supervised, Unsupervised, Reinforcement

Module 2: Python for Machine Learning

  • Recap of Python basics (variables, loops, functions)
  • Introduction to libraries: NumPy, Pandas, Matplotlib
  • Working with datasets
  • Data preprocessing: cleaning and preparing data

Module 3: Building Basic ML Models

  • Introduction to Scikit-learn
  • Building simple models: Linear Regression & Classification
  • Splitting data: training vs testing
  • Evaluating model performance (accuracy, confusion matrix)

Module 4: AI in Action – Final Project

  • Choose a real-world problem (e.g., predicting student scores, recognizing digits)
  • Train and test a basic ML model
  • Visualize and present results
  • Discuss ethical use of AI and its future
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