In this course, *Building Machine Learning Pipelines on AWS*, you’ll learn to automate machine learning projects on AWS. First, you’ll explore how to train machine learning models using SageMaker. Next, you’ll discover how to build more and more complex machine learning pipelines on AWS. Finally, you’ll learn how to extend these pipelines and leverage other AWS services. When you’re finished with this course, you’ll have the skills and knowledge of building machine learning pipelines with AWS needed to create automated machine learning workflows.
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About the author
Ivan Mushketyk
Ivan is a Principal Software Engineer and a Tech Lead who is passionate about Big Data and Cloud Computing. He has worked for numerous big IT companies including Samsung and Amazon Web Services. He is an Open Source enthusiast and has contributed to a number of projects including Gatling and Apache Flink. When he is not writing code or working on a new course, he is probably writing another technical article for his blog.
