Introduction to AIFocuses on how AI works and various ML algorithms such as Decision Trees and Neural Networks. From simple group activities to tensor flow demos, students will gain the introductory background knowledge they need to create their own Machine Learning models. Additionally, students can visit the corresponding YouTube module to reinforce the basic concepts taught in the workshop lesson. AI and ArtFocuses specifically on how AI is used in art and photography, how filters can turn a simple selfie into an oil painting, and how generated art can create simple animations. Students will create their own simple animation in Javascript.
AI and Music Focuses on how AI can be used to compose soundtrack music for movies, commercials, games, and trailers that may span a wide range of emotions and moods. This module will feature a panel discussion on the ethical aspect of using AI in creative fields.
Introduction to BlockchainFocuses on how Blockchain works and various verification systems work to add transactions to the network. From videos to whiteboard puzzles and activities, students will learn how to model their own Blockchain network.
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AI and EnvironmentFocuses on how different classification techniques are used to help detect pollution and solve existing problems of climate change. Students will use the famous Iris Dataset to create a neural network in Python utilizing Google Collaboratories.
AI and FashionFocuses on using AI and ML algorithms to design products and fashions that predict customer preferences to make the manufacturing supply chain more efficient and design more customized and wearable costumes for specific purposes like dance or sports.
Introduction to NLPFocuses specifically on how AI is used in language and literature, how to preprocess data, how to converts words into vectors, and how to create meaningful data for the computer to study. Students will create their own simple RNN model with test text datasets.
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