Featured resource
pluralsight tech forecast
2025 Tech Forecast

Which technologies will dominate in 2025? And what skills do you need to keep up?

Check it out
Hamburger Icon
  • Course
    • Libraries: If you want this course, consider one of these libraries.
    • AI
    • Cloud

Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure

This course is for data pros, developers, and IT pros with different areas of responsibility who need to collaborate effectively on data science projects and iteratively develop repeatable, high-quality machine learning models in Microsoft Azure.

Tim Warner - Pluralsight course - Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure
by Tim Warner

What you'll learn

At the core of being a Microsoft Azure AI engineer rests the need for effective collaboration. In this course, Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure, you will learn how to develop, deploy, and monitor repeatable, high-quality machine learning models with the Microsoft Azure Machine Learning service. First, you will understand how to create no-code machine learning pipelines using the Azure ML service visual designer. Next, you will explore how to train ML models using Python, Jupyter notebooks, and the Microsoft Azure Machine Learning workspace. Finally, you will discover how to monitor your Azure Machine Learning environments from the perspective of the data scientist and data engineer. When you are finished with this course, you will have a foundational knowledge of the Microsoft Azure Machine Learning service that will help you as you move forward in the Microsoft Azure AI engineer job role.

Table of contents

About the author

Tim Warner - Pluralsight course - Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure
Tim Warner

Timothy Warner is a Microsoft Most Valuable Professional (MVP) in Cloud and Datacenter Management who is based in Nashville, TN.

More Courses by Tim