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.