Hands-On Lab: Building AI Foundations

Objective: Introduce students to the process of training and evaluating a simple AI model.

Tool: Google Teachable Machine

Steps:

  1. Visit Teachable Machine and select an image project.
  2. Train your model using your webcam or upload images.
  3. Add multiple classes (e.g., “Thumbs Up” vs “Thumbs Down”).
  4. Train the model and test its recognition live.
  5. Export the model and explore how it can be used in real applications.

Reflection Questions:

  • What component of AI was most critical in your project?
  • How did the quality of data impact your results?
  • What limitations did you notice during testing?

Submission:

  • Screenshots of model training and testing
  • A brief summary of what you learned about data, training, and feedback
Previous Topic
Back to Lesson