Principles of AI › Course Overview

Principles of AI Overview

What this class is, what you will make, and how it works. Three units, eleven weeks, one real client at the end.

What this course is

Principles of AI is an introduction for high school students, with no coding or extra math required. You will open the machine, work with it, and question it. You learn how AI systems learn from data, how to use them without handing over your thinking, and how to judge what they do in the world.

The course is built like an engineering class: short guided Activities build skills, Projects apply them to something real, and one open-ended Problem at the end asks you to serve a real client and defend your choices.

Four big ideas

AI is a tool, not a replacement
It can make you faster and sometimes better. It cannot take responsibility for the result. You do.
Confident does not mean correct
AI can sound completely sure and be completely wrong. You will practice catching it, and checking it as a habit.
Understand it by building it
You make small models by hand and with your own data, so "how does it learn?" has a real answer.
Ask who benefits and who pays
Feeds, scores and recommendations affect people differently. You audit real systems and say what you found.

Three units

Unit 1
Inside the Machine
Weeks 1–4 · 16 periods

Build a tiny language model out of dice, train a classifier on your own data, and find out where AI answers come from, and why it sometimes makes them up.

You make
  • A trained classifier with a model card
  • A red-team report on a chatbot setup
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Unit 2
Working With AI
Weeks 4–7 · 17 periods

Prompt it, check it, time it, and test tools side by side. Learn where AI helps your own work and where handing it off costs you the learning.

You make
  • A productivity study with your own numbers
  • A tool decision memo with a human/AI split
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Unit 3
AI in the World
Weeks 7–11 · 22 periods

Recommendation feeds, jobs and the tools shaping both. Audit a platform, X-ray a real job, then write AI guidance for a real client.

You make
  • A feed audit and letter
  • A one-page career brief (Task X-Ray)
  • The capstone: an AI-use guide for a real client
Open unit →

How the course runs

In person, 60 minutes a day, five days a week, for 11 weeks (55 periods). Every unit has the same shape, and the guidance fades as you go:

ActivitiesProjectActivitiesProjectProblem (Unit 3)No-device final

Every unit tells the same story: a client walks in with a real question about AI. Units 1 and 2 are practice for answering it, and the Problem in Unit 3 is where you do. The last day of each project and the final check are no-device, so you find out what you can explain on your own.

How your grade is built

8%
Activities
Practice. Graded on effort and thinking.
72%
Projects
Where the grade is earned.
20%
Problem + final check
Your final exam.

Full details, including revision rules, are in the syllabus.

AI in this class

You will use AI in this class, and so did the person who built this site. The skill is knowing what to hand off and what to keep.

What you need

Course resources

SyllabusGrading, expectations, and the AI-use policy.Pacing GuideEvery period, trimester or semester.Standards CrosswalkPLTW, AI4K12, NGSS, UNESCO and more.Sources & ReadingWhere the ideas come from.AI GlossaryEvery term, in plain language.AI Use LogRecord how you use AI.Prompt PlaybookPatterns that work, and how to check them.Task X-Ray WorksheetBreak a job into tasks.
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