- This class introduces kids to the basics of AI and machine learning. Through hands-on projects, they’ll learn how to train AI models using the Teachable Machine platform to recognize objects, gestures, and faces.

Topics Covered:
   - Introduction to Artificial Intelligence and machine learning
   - Image classification and recognition
   - Training models using the Teachable Machine platform
   - Collecting data for AI training
   - Testing and improving AI model accuracy
   - Real-world applications of AI

Structure of the class
   - The class is structured around a series of hands-on projects. Kids will start with basic AI concepts and then move on to building and training their own models using Teachable Machine.
   - Each session will include explanations of key concepts, followed by practical tasks where students create and test their AI models.

How will we teach?
   - The class will focus on interactive learning, with students directly engaging in AI projects. They will train their models in real-time, experimenting with different data inputs and seeing how their models improve.
   - We’ll use examples from everyday life to make AI concepts more relatable and fun.

Our teaching style?
   - Our teaching style is hands-on and engaging, making AI accessible and enjoyable for kids. We focus on breaking down complex concepts into simple, understandable parts.
   - Students will be encouraged to experiment and learn by doing, fostering curiosity and creativity.
   - The class is collaborative, with opportunities for kids to share their progress and ideas, creating an inclusive and supportive learning environment.