Practical AI Skills

This track is about getting genuinely better at using the AI tools students already have access to, instead of either avoiding them out of uncertainty or leaning on them in ways that backfire. We cover prompting techniques that actually produce useful output, how to fact-check and verify what a model gives you, and how to use AI as a research and study aid rather than a shortcut that skips the learning.

A significant chunk of this is academic integrity, treated directly rather than vaguely: what counts as appropriate AI use at most schools, what crosses into academic dishonesty, and how to use these tools in a way you could explain to a professor without worrying about it. We think this is one of the most practically useful things we teach, because the rules vary by school and the ambiguity itself causes problems.

Students leave able to use AI as a legitimate tool for studying, drafting, and research — with the judgment to know where the line is.

• Prompting: Techniques that get noticeably better output, not just typing a question.
• Verification: How to fact-check what a model tells you before you rely on it.
• Academic integrity: A direct, practical walkthrough — not a vague warning.
• Outcome: Confident, defensible AI use in schoolwork.