Six weeks of guided build. One real workflow from your work. A Proof Pack at the end you can show your boss, your client, or an interviewer the same week.
No toy projects. No certificates that nobody reads. You bring a workflow that actually exists in your job or your studies — vendor risk reviews, support triage, policy Q&A, recruiting screens, whatever it is — and we walk you through turning it into a working AI system. By the final week, you have a Proof Pack: the system itself, the evals behind it, the governance binder a risk officer would ask for, an ROI memo, a five-minute demo, a launch post, and a portfolio page. You leave able to defend the system in any room.
Last year or two of school. Used ChatGPT, done a couple of class projects. Wants to walk into the first real interview with a working system to demo, not a screenshot of a Kaggle leaderboard.
Ops, compliance, support, finance, or product. Manager keeps asking what AI can do for the team. Wants to show up with a working answer that runs on the team's real workflow, not a vendor demo.
Has to recommend an AI direction this quarter. Wants to spend six weeks actually building one, end to end, on a workflow the team owns. So the recommendation is grounded in a system shipped, not a deck skimmed.
We do not place people. We help you build proof. The proof helps you place yourself.
“I want to learn AI in general” is not enough. We need a specific task from your specific work. If you do not have one, the Quickstart is a better starting point.
Shipping publicly is the deal. If your work is so confidential that you cannot share even a sanitized demo, this cohort will frustrate you.
On day one, you arrive with a single workflow. Not a research topic. Not a category. A specific repeating task: “I review 20 vendor SOC 2 reports a month and pull out five risk flags.” “I screen 100 inbound support tickets a day and route them to the right team.” “I read 30 internal policies and answer questions from new hires.”
It does not have to be glamorous. It has to be real. The boring, repetitive workflows are the best ones. They have clean inputs, clean outputs, and a clear way to measure whether the system did the job.
Ten artifacts. One folder in your repo. One link you can paste anywhere.
Code in your repo. Runs on your data. Solves the workflow you brought in.
A test suite for the system. Happy paths, edge cases, failure modes. Pass / fail you can defend.
Every input, every decision, every refusal, logged so anyone can replay what happened.
Model card, prompt register, risk register, eval reports. The folder a risk officer asks for.
One page. What the workflow used to cost. What it costs now. The math behind the number.
Recorded walkthrough. The problem, the system, the evals, the result.
Drafted with you. Not a brag. A clean explanation of what you built and why it works.
Public link. Hosted. Yours forever. Pull it up in any interview or sales call.
Where your skills sit on the seven-phase AI SDLC, mapped to evidence you can point at.
A one-paragraph version, a one-sentence version, and a one-line version. So you never fumble the answer.
You arrive with a candidate workflow. We help you scope it down to something we can actually finish in six weeks. You learn the Skill Contract pattern and write the first draft for your workflow.
You decompose the workflow into skills with clear inputs and outputs. You write the policy: what the system can and cannot do, what it must escalate, what it must refuse.
You implement the skills against real (or sanitized) data from your work. Code reviews from instructors who have shipped AI in regulated production.
You build the test suite. Happy path. Edge cases. The failures you want the system to catch and refuse. You wire it to run on every change.
You generate the governance binder, the audit trail, and the Capability Graph profile. You write the ROI memo. You record the five-minute demo.
You publish the portfolio page, draft the launch post, and present your system to the cohort plus invited reviewers. You leave with an Architect-level credential reflecting what you actually shipped.
Bring your own. If you do not have one yet, here are workflows that work well in this format.
Inbound tickets in. Category, urgency, suggested response, routing decision out.
SOC 2, DPA, questionnaire in. Draft assessment, risk flags, compensating controls out.
Company name in. Funding history, decision-makers, recent launches, tailored outreach angle out.
Internal policies in. Plain-English answers with citation back to the source paragraph.
Borrower documents in. Extracted fields, completeness check, missing-document checklist, risk pre-screen out.
A market or competitor in. Sourced summary, positioning gaps, three campaign hypotheses out.
Resume and JD in. Skill match, gaps, structured interview questions, pass/hold/no recommendation out.
A regulation or policy in. Mapped requirements, current evidence, missing-evidence list out.
Raw user feedback in. Themes, severity, suggested fixes, prioritized list out.
Your team's docs in. Trustworthy answers with citations, refusals when unclear, feedback loop out.
Two live sessions a week (90 minutes each). One office hours block. The rest is you, building. Most people land in the eight-to-ten-hour range. If you can give it twelve, you will go deeper. If you can only give six, you will fall behind — we would rather you wait for a later cohort than start and stall.
We design the calendar around three timezones (Americas, EMEA, India) so the live sessions land at a sane hour wherever you are.
Best for students and first-time builders.
Best for working professionals.
Best for senior practitioners and team leads with high-stakes workflows.
| A typical AI tool course | The Innorve cohort | |
|---|---|---|
| What you build | A toy chatbot or a notebook demo | A working AI system on your real workflow |
| Whose data | Sample data the course gave you | Your data from your real work |
| How you prove it works | You watched the videos | The system passes your own evals on real cases |
| What you leave with | A PDF certificate | A Proof Pack: working system, evals, audit trail, binder, ROI memo, demo, launch post, portfolio page |
| Who it convinces | A recruiter scanning your resume | Your boss, your client, your interviewer, your auditor |
| What happens after | You forget half of it | The Proof Pack stays public. You can defend it five years from now. |
| Time to value | Weeks of videos to watch | A workflow shipped in six weeks |
No. We help you build proof. Proof helps you get the job. Anyone promising guarantees is selling you something else.
You need to be comfortable reading code and willing to write some. If you have ever scripted a spreadsheet, automated something with Zapier, or written a simple Python notebook, you are in range. We do not start from "what is a variable."
Then start with the free Quickstart. If you genuinely cannot bring a workflow, this cohort is not the right next step. Wait until you can.
We work with sanitized versions all the time. The system you build runs on real data; the public Proof Pack uses an anonymized version. If your work is so confidential that even a sanitized demo is impossible, this cohort will frustrate you.
Eight to ten hours for most people. Twelve if you want to go deeper. If you can only give six, please wait for a later cohort.
Everything. The code, the evals, the binder, the demo, the post, the portfolio page. We host the portfolio page under your Architect profile, but you own the contents and can take them anywhere.
Whatever fits your workflow. We teach the Multi-Tool Strategy framework so you make the choice for the right reasons and document the fallback. The system is portable across providers by design.
Because a certificate is something you wave around. A Proof Pack is something you can pull up in any room and let it speak for itself. We think one is worth a lot more than the other.
We tell you why within 48 hours and recommend the right next step — usually the Quickstart or the next cohort. We would rather under-fill a cohort than dilute it.
Sessions are recorded. Pods are mixed-timezone. The work happens async between sessions. Missing one or two over six weeks is normal; missing four or more is when we ask you to defer.
We do not ask you to take this on faith. The Method is published in full under Apache 2.0 — read it before you apply. The Exemplar is a complete, working version of the Proof Pack on a fictional vendor-risk scenario, with every artifact in a public GitHub repo. The Skill Contract Schema, the Maturity Gate Model, and the Capability Graph spec are all readable today, no signup, no email gate.
If our published work does not look like the work of people who know what they are doing, do not apply. If it does, you already have a sense of what your own Proof Pack will look like in six weeks.
Reads in 48 hours. Honest answer either way. June 14, 2026, 6 weeks, 8–10 hours/week.