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Course
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AWS Certified Machine Learning Engineer - Associate (MLA-C01): Data Preparation for Machine Learning (ML)
The first domain of the Machine Learning Engineer Associate certification exam is Data Preparation. This course will teach you the concepts and skills needed to pass this domain of the exam.
What you'll learn
Machine Learning requires clean, relevant, and unbiased data for training and inference. In this course, AWS Certified Machine Learning Engineer - Associate (MLA-C01): Data Preparation for Machine Learning (ML), you’ll learn to ingest, store, transform, secure, and prepare data for Machine Learning workloads on AWS. First, you’ll explore data formats and AWS storage options. Next, you’ll discover data transformation services and feature engineering concepts. Finally, you’ll learn how to ensure data integrity as they are transferred to your ML workloads. When you’re finished with this course, you’ll have the skills and knowledge of Machine Learning on AWS needed to excel in this domain of the certification exam.
Table of contents
About the author
David has always had an interest in learning and teaching complex systems. Before he was working with AWS, he spent his days learning and teaching board games at his local board game cafe in hometown Columbus, OH. Over the last six years working in tech, he has gone from a self-taught Ruby developer to a 4x AWS certified senior consultant in cloud technologies, and now a Training Architect at Pluralsight. David holds both professional-level AWS certifications and is passionate about helping people unlock their career potential through learning cloud skills. When he's not building courses, you can find David out hiking around Seattle with his wife Myia and his dog Oliver, or inside playing board games or role playing games.
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