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.
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.
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.
