Azure ML pipelines

kedro-azureml plugin

For deployment to Azure ML pipelines, you should consult the documentation for the kedro-azureml plugin from GetInData | Part of Xebia that enables you to run your code on Azure ML Pipelines in a fully managed fashion.

The plugin supports both: docker-based workflows and code-upload workflows. Besides that, kedro-azureml also supports distributed training in PyTorch/TensorFlow/MPI and works well with Azure ML native MLflow integration.