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FREE COURSE · BEGINNER
A free course in nine short lessons: what System One models are, how they decide, and how to call, pull, run, check, calibrate, fine-tune and publish one, with a certificate at the end.
What a System One model is, where it beats an LLM, and how it decides.
Call one over the API, pull it from the registry and run it on your machine.
Prove it is the real model, calibrate it, and teach it your own decisions.
Put your model on the registry for others to use.
Finish all 9 lessons and claim a certificate of completion: a page with your name that anyone can check, with a QR code that leads to it, an image and a PDF to keep, and a link that adds it to your LinkedIn profile. Claiming it needs an account with a verified email address. How sharing and checking it works.
Sign in to track progressYes. Every lesson is free to read, with nothing to install. An account, also free, keeps your progress and is needed to claim the certificate.
About an hour: nine short lessons of five to ten minutes each. Your progress is saved, so you can stop and come back.
Yes. Finish the nine lessons and claim a certificate of completion with your name. It has its own page that anyone can check, a QR code that leads there, an image and a PDF to keep, and a link that adds it to your LinkedIn profile.
Every certificate has a number and a page at systemonemodels.tech/certificates/ followed by that number. Scanning its QR code or opening the address shows who it was issued to, when, and whether it is still valid.
No. The first lessons run models in your browser. Later lessons show commands you can run on an ordinary laptop, on its CPU; they are optional for the certificate.
Developers, machine learning engineers and product builders who need fast, typed decisions in their software: routing, triage, moderation, scoring, yes-or-no checks.
