AI with SCRATCH

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. In this course, students will learn to create their own machine learning models using Scratch 3.0 programming.

Age Group - For Teachers
No. of sessions - 2
Duration - 2 Days, 1 hr. per session
Timings/Schedule - Weekdays(Dates to be announced / sent through mail)
Location - Online (Microsoft Teams/Zoom) for Video conferencing
Certificate of completion - Yes (KHDA Approved)
Fees - Free

Session Activity Details
1 1. Introduction to Machine learning
1.1 Quick draw with Google
1.2 Teachable Machine (Students will try out the above two activities to have a general understanding of how machines can identify information, patterns, etc.)
1.3 Difference between AI and Machine learning and applications of machine learning in real life

2. Machine learning with Scratch (Training a text-based model)
2.1 Make me happy (In this activity, students will create a character in Scratch that smiles if you say nice things to it and cries if you say mean things to it. They will teach a computer to recognise compliments and insults.
2.2 Smart classroom (In this activity, students will create a smart assistant in Scratch that lets them control virtual devices. They will teach a computer to recognize the meaning of their commands
2 1. Introduction to training an image-based model
1.1 Chameleon (In this activity, students will create a chameleon in Scratch that changes colour to match its background. They will teach a computer to recognize colours)
1.2 Face lock (In this activity, students will make a phone in Scratch that will unlock if it recognizes their face. Students will teach the computer to recognize faces.)
1.3 Sort the image! (In this activity, students will train the computer to be able to sort photos into groups. They will teach the computer to recognize pictures of objects.)