MLOps Challenges
This repository contains hands-on challenges for end-to-end machine learning operations (MLOps) with Azure Machine Learning.
To complete these exercises, you’ll need a Microsoft Azure subscription. If your instructor has not provided you with one, you can sign up for a free trial at https://azure.microsoft.com.
Challenges
| Module | Challenge |
|---|---|
| Convert a notebook to production code | 0: Convert a notebook to production code |
| Use an Azure Machine Learning job for automation | 1: Create an Azure Machine Learning job |
| Trigger Azure Machine Learning jobs with GitHub Actions | 2: Trigger the Azure Machine Learning job with GitHub Actions |
| Trigger GitHub Actions with feature-based development | 3: Trigger GitHub Actions with feature-based development |
| Work with linting and unit testing in GitHub Actions | 4: Work with linting and unit testing |
| Work with environments in GitHub Actions | 5: Work with environments |
| Deploy a model with GitHub Actions | 6: Deploy and test the model |