pmahmoudzadeh / mlops-lab

This repository contains sample code, which is used for a MLOps Workshop

MLOps on Azure

This repository contains sample code, which is used for a MLOps Workshop.

In this workshop various cloud services will be used, e.g. Azure ML Services and Azure DevOps.

What is MLOps?

MLOps (a compound of "machine learning" and "operations") is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML lifecycle. Similar to the DevOps or DataOps approaches, MLOps looks to increase automation and improve the quality of production ML while also focusing on business and regulatory requirements.

How does Azure ML help with MLOps?

Azure ML contains a number of asset management and orchestration services to help you manage the lifecycle of your model training & deployment workflows.

With Azure ML + Azure DevOps you can effectively and cohesively manage your datasets, experiments, models, and ML-infused applications.