The 4-Week AI Build Cohort

Four live sessions, four working tools, one cohort of fifteen people all building alongside you. The structured middle rung between a 90-minute taster and a self-paced course. You leave with the habit of shipping, not just the skill of building.

One build proves it's possible. Four builds make it a habit.

The 90-Minute AI Build answers the "can I do this" question. Most graduates leave wanting more, but the jump from a single session to a self-paced course is too big. Self-paced means learning alone, and learning alone means the second tool never gets started.

The cohort fixes that. Four sessions. A deadline every week. Fifteen other people building at the same time. By the end of week four, the question isn't "can I build a tool" — it's "which one do I build next?"

Individual professionals get the structured practice that turns capability into habit.

Four working tools, each from your actual job

01

A First-Build Refinement

Take a tool someone might build in the 90-minute sprint and push it further. Handle the edge cases, clean up the output, deploy it somewhere your colleagues can actually use it.

02

A Data or Dashboard Tool

Connect real data to a live view. A weekly report, a pipeline tracker, a metrics dashboard that updates automatically. The kind of thing you'd have asked IT to build a year ago.

03

An Automation

A multi-step workflow that runs without you. Intake routing, email summaries, data processing, scheduled digests. The work that currently eats hours of your week.

04

A Capstone Tool

The most ambitious build of the four. You bring the hardest problem on your desk, scope it down to something buildable, and ship it to the cohort in the final session.

How the four weeks break down

1

Session 1 — First build (90 min, live)

We assume you've done the 90-Minute Build or are past that stage. Session 1 is a refinement build: take something you've already shipped, or a rough sketch you've been sitting on, and get it to production quality. The goal is to set the bar for what "done" looks like for the rest of the cohort.

2

Session 2 — Data and dashboards (90 min, live)

Connect an AI build to real data. Spreadsheets, APIs, CSVs, databases. Each cohort member builds a live view against data from their actual job — a pipeline tracker, a metrics dashboard, a weekly digest. You leave with a dashboard your colleagues can open on Monday.

3

Session 3 — Automations (90 min, live)

Workflows that run without you. Intake routing, email processing, scheduled reports, data pipelines. You pick one recurring task from your week and build the automation that handles it. Most participants save several hours per week off the back of this session alone.

4

Session 4 — Capstone demos (90 min, live)

Each cohort member presents their capstone tool to the group. Five minutes to demo, five minutes of questions. The session ends with a written certificate of completion and a read on what each participant's next build should be.

Individual professionals who want structured practice, not a theory course

The cohort is designed for people who already know AI building is worth learning and want the structure to actually develop the habit. Graduates of the 90-Minute AI Build are the natural fit. So are professionals who've already built a thing or two on their own and want four weeks of accountability to take it further.

The cap at fifteen is deliberate. Small enough that every participant gets direct feedback in every session. Large enough to see what fourteen other professionals are building in parallel, which is where half the value comes from.

If you're bringing a team, the cohort isn't the right shape — the 6-week AI Skills for Your Workforce cohort is built for teams learning together. If you haven't yet seen what a single AI build looks like, start with the 90-Minute AI Build.

Join the Next Cohort →

Four sessions. Four working tools. One new habit.

The cohort runs every few months. Spots are limited to fifteen.