Implementing Pipelines in Azure Machine Learning

This lesson focuses on how to automate model training workflows. We look at creating reusable and shareable components that can be used in multiple pipelines, before seeing how to create pipelines using Azure Machine Learning Studio and with Python scripts. We finish with seeing how to share data between pipeline tasks.

Learning Objectives

• Creating pipeline components
• Creating and running a training pipeline
• Sharing data between pipeline steps

Intended Audience

• Students who want to learn how to train a model using Azure Machine Learning pipelines
• Students preparing for the DP-100: Designing and Implementing a Data Science Solution on Azure exam

Prerequisites

• Running and Monitoring Training Scripts in Azure Machine Learning

Running a Script as a Command demo commands

rm -r azure-ml-labs -f
https://github.com/MicrosoftLearn/mslearn-azure-ml.git azure-mil-labs

cd azuer-ml-labs/Labs/09
./setup.sh

pip uninstall azure-ai-ml
pip install azure-ai-ml

git clone https://github.com/MicrosoftLearn/mslearn-azure-ml.git azure-mil-labs