• Online, Self-Paced
Course Description

Azure Machine Learning Studio provides DevOps support in the form of orchestrating machine learning pipelines. In this course, you'll learn to create, publish, and schedule machine learning pipelines.

First, you'll examine Azure Machine Learning pipelines and how they are used to build, optimize, and manage machine learning workflows. Next, you'll explore how to use the Azure Machine Learning SDK to create and run machine learning pipelines. You'll learn how to use a pipeline to import, transform, and move data between steps, as well as how to publish and track pipelines and use triggers to schedule a machine learning pipeline based on some event. Finally, you'll learn techniques for troubleshooting and debugging machine learning pipelines

This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.

Learning Objectives

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Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.