AWS Certified Data Engineer Associate 2026 - Hands On!
About this course
NEW: Updated for version 1.1 of the exam (2026) and now includes an additional practice examThe AWS Certified Data Engineer Associate Exam (DEA-C01 or DE1-C01) is one of the most challenging associate-level certification exams you can take from Amazon Web Services, and even among the most challenging overall. Passing it tells employers in no uncertain terms that your knowledge of data pipelines is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the data ingestion, transformation, and orchestration technologies on the exam and how they fit together.Best-selling Udemy instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course we've seen. Together, they've taught over 4 million people around the world. This course combines Stéphane's depth on AWS with Frank's experience in wrangling massive data sets, gleaned during his 9-year career at Amazon itself. The world of data engineering on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:Streaming and transforming data with Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (MSK)Queuing messages with Simple Queue Service (SQS)Orchestrating data pipelines with Amazon AppFlow, Amazon EventBridge, AWS Step Functions, and Amazon Managed Workflows for Apache Airflow (MWAA)Transitioning from small to big data with the AWS Database Migration Service (DMS), AWS DataSync, Snow Family, Transfer Family, and moreStoring massive data lakes with the Simple Storage Service (
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What you'll learn
- understand AWS data pipeline concepts
- work with Amazon Kinesis for data streaming and transformation
- manage queues using Amazon SQS
- orchestrate data workflows using AWS tools like Step Functions and Amazon EventBridge
- transition data from small to large-scale using AWS migration services
- implement data lakes using Amazon S3
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