Lecture 1: What is AI?

• Description: An introduction to AI. We'll explore what makes a computer "smart" and look at the difference between following rules and actually learning.
• Project: A fun activity to compare how we learn vs. how an AI learns.

Lecture 2: Your First Language: Python

• Description: This class is a quick start with Python, the language of AI. You'll learn the basic words and rules needed to write simple programs.
• Project: Write a simple Python script to do math and work with text.

Lecture 3: Learning with Examples

• Description: We'll introduce the idea of algorithms as the "recipes" an AI uses. We'll see how an AI can predict things by looking at data.
• Project: Create a simple decision tree on paper to predict an outcome from a small list of data.

Lecture 4: Your First Smart Program

• Description: Time to build a real AI program! You'll use a Python tool called Scikit-learn to make an AI that can predict things.
• Project: Create a program that predicts video game scores based on how long someone plays.

Lecture 5: Feeding the AI Good Data

• Description: You'll learn why the data you use is so important. We'll focus on how to clean up messy data and pick the most useful parts.

Project: Improve your video game score predictor by cleaning up the dataset you used before.

Lecture 6: Is Your AI a Genius?

• Description: How do you know if your AI is working well? We'll learn how to test it using special evaluation methods to see if it makes good predictions.
• Project: Test your predictive model with new data to see how accurate it is.

Lecture 7: The AI's Eyes: Computer Vision

• Description: We'll explore how AI can "see" and understand images. You'll use a pre-trained AI to identify objects in a picture.
• Project: Build a Python program that can identify common objects in pictures you show it.

Lecture 9: The Creative AI

• Description: Explore how AI can create new art, stories, or music. We’ll discuss how generative AI works.

Project: Use a creative AI tool on the web to make a short story or a piece of art from a simple idea.

Lecture 8: The AI's Ears and Mouth: NLP

• Description: We’ll dive into Natural Language Processing (NLP), which helps computers understand human language. We'll build a basic tool that can figure out the emotion in a sentence.

Project: Create a program that analyzes a sentence and predicts whether the emotion is happy or sad.

Lecture 10: AI Bias: When AI is Unfair

• Description: AI can sometimes be unfair because of the data it learns from. We'll talk about bias and how to spot it.
• Project: Look at a sample of biased data and discuss how it might make an AI model unfair.

Lecture 11: AI and Your Privacy

• Description: In a world with smart devices, AI collects a lot of data. We'll talk about why privacy is important and how to be safe.
• Project: Create a list of things to check for in an app's privacy policy.

Lecture 12: Your Final Project: AI for Good

• Description: In this final class, you'll put everything together. You'll design an AI project that solves a real-world problem and also think about its ethical impact.
• Project: Design a plan for an ethical AI solution for a problem like waste sorting or traffic, and present your ideas to the class.