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Teach what you build.

Square 1 runs live, human-taught AI programmes on Zoom: twelve-week bootcamps and on-demand courses across engineering, data, security, go-to-market and the work itself. The curriculum and the projects are written. What we need is people who have shipped the real thing, to teach it to a cohort that applied and paid to be there.

24 bootcamps · 24 on-demand courses · 8 fields · live on Zoom · paid per cohort

Your week

Week 7 of 12

A twelve-week bootcamp · one cohort · Zoom

Example

  1. MonClassLive code review of the week's real submissions90 min
  2. WedLabSquads build; you rotate the rooms60 min
  3. ThuOffice hoursA drop-in queue, one question at a time60 min

Off Zoom

  • Read the submissions before Monday's class
  • Pass or hold each project at the fortnight's gate
  • One line of notes per student on the desk

3.5 hours live and about the same again off Zoom, in the cohort’s evening. Recorded lessons carry the lecturing; you carry the room.

A bootcamp instructor’s week, as an example. An on-demand course is recorded once, with us, and then lives on the shelf.

What you would teach.

8 fields, 48 programmes, every one with its full curriculum on the catalogue. Pick the ones you have lived; you can name up to six on the form.

  • AI engineering

    8 bootcamps · 8 on-demand

    • Forward Deployed Engineer Bootcamp
    • Gen AI Bootcamp
    • Agentic AI Bootcamp
    • and 13 more
  • Coding with agents

    4 bootcamps · 3 on-demand

    • Claude Code for Engineering Bootcamp
    • Codex for Software Engineering Bootcamp
    • Software Engineering with AI Bootcamp
    • and 4 more
  • Data and machine learning

    6 bootcamps · 0 on-demand

    • ML Engineer Bootcamp
    • Data Science Bootcamp
    • Computer Vision Bootcamp
    • and 3 more
  • Cybersecurity

    2 bootcamps · 2 on-demand

    • Cybersecurity Bootcamp
    • AI Security and Red-Teaming Bootcamp
    • Cybersecurity Foundations
    • and 1 more
  • Go to market

    2 bootcamps · 0 on-demand

    • GTM Engineer Bootcamp
    • AI Sales Engineer Bootcamp
  • Product and founders

    2 bootcamps · 1 on-demand

    • AI Product Manager Bootcamp
    • AI Founder Bootcamp
    • Vibe-Coding a Product
  • AI for your work

    0 bootcamps · 8 on-demand

    • Agents with n8n and Make
    • AI for Marketers
    • AI for Sales
    • and 5 more
  • Foundations

    0 bootcamps · 2 on-demand

    • Python for AI
    • SQL and Data for AI

Every programme is a waitlist today; a cohort opens when the list and the instructor are both ready.

How teaching works here.

Four steps, and the fourth is the point. You are not uploading a course to a marketplace; you are joining a programme that already has students, projects and a desk.

  1. Step 1. Apply

    Ten minutes: who you are, what you have built, which programmes you want to teach, and when you can.

    Apply to teach

  2. Step 2. We talk

    A 30-minute call with a founder. We look at what you have shipped and listen to how you explain it.

  3. Step 3. You get the desk

    An invite to the instructor desk: your cohort's roster, sessions and gates, and your public card on the programme page.

  4. Step 4. You teach

    Three live sessions a week on Zoom, from your own account. We handle enrolment, payment, attendance and recordings.

The recorded lessons carry the lecturing. Live time is for the three things a recording cannot do: review, unblock and decide.

What we look for.

Four things, and the first is not negotiable.

Built it, for real
Years of shipping the thing the programme teaches, not slides about it. The class is a live code review of a stranger's work; that only goes well if you have done the work yourself.
Can hold a room
Thirty people, an evening, a submission on screen. You can find the interesting mistake, say why it matters and keep everyone with you.
Twelve weeks of showing up
A cohort runs on your reliability. The Monday class happens every Monday; a gate decision arrives when it is due.
Plain English
You can explain a hard thing simply. Where you are from and how you sound do not matter; whether people understand you does.

What you get.

The parts of teaching that are usually the unpaid parts, done.

The curriculum, written
Every bootcamp is six two-week blocks, six deployed projects and six gates, already authored. You teach it and shape it; you do not start from a blank page.
A desk, not a spreadsheet
Roster, sessions, gate results and attendance in one place, scoped to your cohort. Zoom sessions are created under your own account, so you start them as host.
Students who chose it
Everyone in the room applied, passed an assessment and paid. They are there to be reviewed, not to be entertained.
Paid per cohort
A rate agreed before the cohort starts, in writing, with what is recorded and how it is reused.
Your name on the page
A public card on the programmes you teach: headline, photo, LinkedIn. Off until you turn it on.

Apply to teach.

Ten minutes. Tell us who you are, what you have built, what you want to teach and when you can. A founder reads it and replies personally.

Who you are
What you want to teach
0 of 6 picked

AI engineering

Coding with agents

Data and machine learning

Cybersecurity

Go to market

Product and founders

AI for your work

Foundations

We use what you tell us to decide whether to book the call, and for nothing else.

Not ready to lead a cohort?

Guest lectures, project reviews and a seat on a viva panel are smaller doors into the same room. Say so in the note on the form and we will find the right first thing.