Units:

1. Foundations of Artificial Intelligence
   • History, key terms, and how AI differs from traditional programming
2. Introduction to Python for AI
   • Variables, loops, functions, and libraries used in machine learning
3. Understanding Data
   • Collecting, cleaning, and visualizing datasets
4. How Machine Learning Models Learn
   • Training, testing, features, and labels explained simply
5. Classification & Prediction
   • Building simple models to sort data or make predictions
6. Intro to Neural Networks
   • What a neural network is and how it "thinks" in layers
7. Hands-On Project: Build a Predictive Model
   • Applying skills to a real, beginner-friendly dataset
8. AI Ethics & Bias
   • Understanding fairness, privacy, and responsible AI use