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Module 1

What Even Is AI?

You are not behind. You just have not had a chance to learn the language yet. This module builds a shared vocabulary so you can follow conversations in class, internships, and interviews.

Learning Goals

  • Explain the difference between AI, machine learning, and automation
  • Define common terms without jargon
  • Describe why AI adoption accelerated recently

Lesson Content

Start with the big picture

AI is a broad field. Most tools students use today are built on machine learning models trained on large datasets.

[!KEY_TERM] Model: A model is a system that learns patterns from examples so it can make predictions or generate outputs on new inputs.

[!COMMON_MISCONCEPTION] AI is not magic and it is not always correct. Strong users verify outputs, compare sources, and keep humans in the loop.

[!TRY_IT] Open ChatGPT and ask it to explain one concept from your major at three reading levels: middle school, high school, and college. Compare the differences.

Activity

Interactive glossary

Match key terms to plain-language definitions.

Short readings

Read two short explainers about modern AI systems.

5-question quiz

Check your understanding before moving forward.

Reflection Prompt

What AI term felt intimidating before this lesson, and how would you explain it now to a friend?

What's Next

Next, we will help you identify a project idea that matters to you personally.