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Course
- Cloud
Introduction to Azure Machine Learning
Machine learning workflows can be complex and fragmented. This course will teach you how to evaluate and navigate Azure Machine Learning for enterprise-scale ML lifecycle support.
What you'll learn
Machine learning often requires complex coordination across tools, teams, and compute environments. In this course, Introduction to Azure Machine Learning, you’ll learn to evaluate and navigate Azure Machine Learning for enterprise-scale ML lifecycle support. First, you’ll explore the core purpose of Azure Machine Learning and where it fits in the machine learning workflow. Next, you’ll discover real-world use cases and how Azure ML compares to related Azure services. Finally, you’ll learn how different personas—from data scientists to ML engineers—interact with the platform using tools like Studio, SDKs, and pipelines. When you’re finished with this course, you’ll have the skills and knowledge of Azure Machine Learning needed to assess its fit for your organization’s machine learning needs.
Table of contents
About the author
Hello, friends! I’m Clint Bonnett, an Author here at Pluralsight. After spending the past decade in the IT industry, I’ve worked my way up the ladder from starting on the help desk to ultimately becoming a lead cloud engineer. I hold several certifications ranging from Azure, AWS, networking, and security. When I’m not behind the keyboard, I love going for hikes and walks with my wife, playing board games, videogames, and tinkering with electronic projects. I’m excited that you’re here today! Together, we’ll learn to cloud and further your IT career or personal learning journey. Let’s get started!
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