Build an MLOps Pipeline with the Edge Impulse API

Shawn Hymel shows how to use the Edge Impulse REST API to control a project, which can include uploading data, training a model, deploying a model, etc. Specifically, we download a pre-trained model and library for Arduino. Using an API to automate the process of creating and deploying a project is invaluable for creating a large-scale MLOps system. This is especially important where custom models need to be created for unique environments, like those used for predictive maintenance.