theCommons Academy
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LESSON 01 · FREE15–20 min

The AI Landscape

A clean map of the AI world — what's real, what's hype, and where you actually fit.

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Start Lesson 01 — 15–20 min

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What this is

About this micro-course

A 15–20 minute interactive lesson that gives you a working framework for the terminology you'll encounter — AI, ML, Deep Learning, and the three phases of how AI has evolved. Built for operators who need vocabulary they can defend in a meeting by Friday.

  • 5 chapters
  • Interactive · self-paced
  • Verify First checklist
  • No prior AI experience required

What you'll learn

Cut through the noise. By the end of this lesson you'll understand how AI, machine learning, and deep learning actually relate to each other, where you are in the three-phase evolution from Traditional AI to Generative to Agentic, and how to verify AI outputs before you act on them. No jargon, no hype — just the lay of the land.

Curriculum

5 chapters · 15–20 min

  1. AI, ML, and Deep Learning

    The nesting doll model that makes the relationships click.

  2. Traditional AI vs. Generative AI vs. Agentic AI

    The three phases and where you are now.

  3. From doing the work to designing it

    What changes in your role when AI handles the doing, and why it's an upgrade — not a demotion.

  4. The Verify First rule

    A checklist for every AI output before it leaves your hands.

  5. Self-assessment

    Which phase are you actually using, and what to do next.

Practice assignment

Audit your week

Audit your week for one repetitive task that follows the same pattern each time. Use a Phase 2 generative tool to handle the first draft, then evaluate: did it save time? What still required your expertise? Document the result in a one-paragraph debrief.

Time
20 minutes
Deliverable
A one-paragraph debrief: time saved, what still needed your judgment, and whether you'd repeat it.
Review
Self-scored with the 4-point rubric. Optional: bring it to a live session for feedback.
  1. Identify one task you do at least weekly that follows the same pattern each time.
  2. Use any generative AI tool to handle the first draft or summary.
  3. Apply the Verify First checklist from Chapter 4 before you use the output.
  4. Write a one-paragraph debrief: time saved, what still needed your judgment, and whether you'd repeat it.
How the practice assignments work
  1. 1. Finish the lesson
    Each lesson ends with a short prompt that turns the concept into a one-page deliverable you'd actually use at work.
  2. 2. Build your artefact
    Use the copy-paste template inside the course. Most assignments take 15–30 minutes and produce a doc, prompt, or checklist you keep.
  3. 3. Self-review with the rubric
    Every assignment ships with a 4-point rubric (clarity · specificity · safety · usefulness). Score yourself in two minutes.
  4. 4. Optional: share what you built
    Bring your artefact to a live session — Office Hours or the weekly build-along — for real-time feedback from our team. Prefer to share publicly? Post it and tag us on LinkedIn (Fear of Becoming Obsolete.).

Assignments are ungraded and self-paced. There's no deadline, no quiz, no certificate gate — the deliverable is the proof you did the work.

Preview · try before you launch

Try this before you launch

“Describe the difference between Traditional AI, Generative AI, and Agentic AI in three sentences — one for each. Use an example from everyday work life for each one.”

What you walk away with

  • A working vocabulary you can use in any meeting without bluffing
  • A clear mental model of where you are in the AI evolution — and where to go next
  • The Verify First checklist, applied to a real output from your own work

Ready when you are

Start Lesson 01 · 15–20 min