MLOps workflow with Github Actions

Video description

Get started with MLOps and Github Actions to package a container with an ONNX model that does live inferencing with a Flask application. By using Azure ML, learn how to download the large ONNX model into the Github Action workflow, package it as a container and then push it to a container registry. For reference use the repository

Topics include:
* Create a container that does live inferencing with Flask and the ONNX runtime
* Package the model and verify it works locally
* Setup a Github Action to authenticate to Azure ML and download a previously registered model
* Build the new container as a Github Action, authenticate to Docker Hub or Github Packages
* Push the new container to the Github registry or any other registry like Docker Hub

Table of contents

  1. Lesson 1
    1. "Mlops Workflow With Github Actions"

Product information

  • Title: MLOps workflow with Github Actions
  • Author(s): Alfredo Deza, Noah Gift
  • Release date: March 2021
  • Publisher(s): Pragmatic AI Solutions