Biplov GautamMost AI you have used writes text. A System One model answers instead: give it a situation and a few typed questions (pick one option, score on a scale, yes or no), and it returns an answer for each, with a probability for every possible answer, in one fast pass. That makes it the right tool for the decisions inside software: routing a ticket, flagging a message, scoring a lead, checking a rule.
Getting started with System One models is a free course that takes you from that first idea to publishing a model of your own. Nine short lessons, about an hour in all, and nothing to install for the first half.
What the nine lessons cover
- What is a System One model? Typed questions in, probabilities out, and why honest probabilities matter.
- System One models and LLMs When a decision model beats a language model, and when it doesn't.
- How they decide How a state and its questions become one probability per answer.
- Your first API call An API key, two questions over HTTP and from Python, and reading the answers.
- Pull a model Download a model from the registry, files checked against their hashes.
- Run a model on your machine The same model on your laptop's CPU.
- Check, measure and calibrate with NoulXP Check that a model answers exactly as its authors' code does, and calibrate it to your own labels.
- Fine-tune on your own data Teach a model your own decisions.
- Publish your model Put it on the registry for others to use.
The early lessons run models in your browser, so you see a model decide before you write a line of code. The later ones give commands you can run on an ordinary laptop.
The certificate
Finish the nine lessons and claim a certificate of completion with your name on it. It is built to be checked, not just framed:
- Its own page. Every certificate lives at
systemonemodels.tech/certificates/followed by its number. The page says who it was issued to, when, and whether it is still valid. - A QR code. Printed on the certificate, it leads straight to that page, so anyone holding a printed copy can check it with a phone.
- LinkedIn in one click. The "Add to LinkedIn profile" button fills in LinkedIn's certification form for you: the course, System One Models as the issuer, the date, the credential number and its address.
- Copies to keep. Download it as an image, or print it and save it as a PDF from the certificate's page: one A4 page, ready to attach to an application.
Claiming it needs a free account with a verified email address, so every certificate belongs to a real person.
Who it is for
Developers, machine learning engineers and product builders who have a decision in their code
that an if statement can't make and a chat model makes too slowly, too expensively or with too
little certainty about how sure it is. No machine learning background is needed to start; the
lessons on fine-tuning assume you are comfortable at a terminal.
Start the course, or read what a System One model is first.