MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 1h 5m | Size: 724.4 MB

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 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

* Create a container that does live inferencing with Flask and the ONNX run

* Package the model and verify it works locally

* Setup a Github Action to authenticate to Azure ML and 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



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