MACHINE LEARNING FOR KIDS

Module 1: Introduction to AI & Machine Learning

  • What is Artificial Intelligence?

  • What is Machine Learning?

  • Real-life examples of AI

  • How machines think

 

Module 2: Basics of Data

  • What is Data?

  • Types of data

  • Collecting simple data

  • Understanding patterns

 

Module 3: How Machines Learn

  • Training vs Testing data

  • Learning from examples

  • Predictions and results

  • Errors & improvement

 

Module 4: Types of Machine Learning

  • Supervised Learning

  • Unsupervised Learning

  • Simple classification

  • Simple prediction concepts

 

Module 5: Visual ML Tools

  • Drag & drop ML blocks

  • Building models without coding

  • Using pre-trained models

  • AI builder tools

 

Module 6: Mini Projects

  • Smart Quiz Predictor

  • Emoji / Image Recognition

  • Color or Shape Classifier

  • Recommendation concept

 

Module 7: Logic & Thinking Skills

  • Problem-solving approach

  • Logical decision making

  • If–else thinking

  • Pattern identification

 

Module 8: Final Project

  • Choose ML project idea

  • Build ML model

  • Test & improve results

  • Project presentation

 

Course Outcome

  • Understand Machine Learning basics

  • Build AI-based mini projects

  • Strong logical & analytical skills

  • Certificate of Completion

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