Grade 10-11-12 - Chapter 7: Foundations of Large Language Models

Welcome to Chapter 8!

Now that you understand how AI works, it's time to design your own AI solution. In this chapter, you'll identify real-world problems, determine what data is needed, and select the right type of AI model to solve your chosen challenge. This is where your final project truly begins.

What You'll Learn:

How to identify and scope real-world problems
How to analyze feasibility and user needs
What types of data AI systems require
Privacy and ethical considerations in data collection
How to choose the right AI model for a specific problem
Trade-offs between different AI approaches

The Three Sessions in This Chapter:

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Session 1: Problem Selection & Scoping

Brainstorm meaningful problems in your school, community, or daily life. Learn how to define clear goals, identify users, and evaluate feasibility.

Start Session 1 →

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Session 2: Data Requirements & Privacy

Determine what data your AI system needs, where it comes from, and how to handle privacy, consent, and ethical concerns.

Start Session 2 →

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Session 3: Choosing the Right AI Model

Explore classification, regression, recommendation systems, and other AI approaches. Match the right model to your problem.

Start Session 3 →

💡 Big Idea:

Good AI doesn’t start with technology — it starts with a clearly defined problem, Good AI doesn’t start with technology — it starts with a clearly defined problem, the right data, and the right model choice. Design thinking comes before coding.