Users don’t consume machine learning models – they consume machine learning apps and services.
Kortical’s groundbreaking ML deployment platform makes it easy to build machine learning models and the apps that use them.
It's designed to be super simple to get started while also being expert-friendly. It has full code and transparency, so you can change anything and build whatever you want.
The idea is to knock out a cool POC ML app, all you'll need are:
Steps to create your ML App with Kortical
Create a project and environments in the platform
Install the Kortical Python package
Select your app template to start from
Open the code, make whatever changes you like
Build your ML model in code or build model in the platform
Run `kortical app deploy` (this takes your local code and puts it in the cloud)
Check out your app
Steps to put your app live in prod
Create a git repo for your app
Commit the code
Check all the continuous integration tests have passed
Click promote to UAT
Click promote to Prod
Steps to maintain your ML solutions
Check your dashboard / notifications to keep everything running smoothly
Check your models