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
- Cleaning Dirty Data 2m
- Methods for Cleaning Data 2m
- Detecting and Addressing Outliers 2m
- Understanding Feature Engineering 1m
- Engineering Features for Numerical Data 3m
- Engineering Features for Text-based Data 3m
- Demo: Feature Engineering with SageMaker Data Wrangler 7m
- Selecting the Most Useful Features 2m
- Exam Tips 2m
- Transforming Data on AWS 3m
- Data Visualization and Exploration on AWS 2m
- Types of Visualizations 2m
- Automating Data Transformation 3m
- Demo: Running a Profile Job in AWS Glue DataBrew 4m
- Transforming Streaming Data on AWS 2m
- Creating and Storing Features 2m
- Demo: Storing Features in a Feature Group 5m
- Labeling Data and Storing Labeled Data 2m
- Exam Tips 3m
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 peop... more