Tutorial: Train an example Jupyter Notebook - Azure Machine Learning

Image creation: A Docker image is created that matches the Python environment specified by the Azure ML environment. The image is uploaded to the workspace. Image creation and uploading takes about five minutes. This stage happens once for each Python environment because the container is cached for subsequent runs. During image creation, logs are streamed to the run history.