AWS Certified Data Engineer Associate 2025 - Hands On!
AWS DEA-C01 certification prep course with exercises and a full-length practice exam. Redshift, Glue, Athena, and more
4.58 (8790 reviews)
77 416
students
22 hours
content
Jun 2025
last update
$99.99
regular price
What you will learn
Maximize your odds of passing the AWS Certified Data Engineer - Associate (DEA-C01) exam
Design and implement data pipelines with AWS to ingest, store, and transform data
Choose and design data stores, data models, data schemas, and data lifecycles.
Maintain, operationalize, and orchestrate data pipelines with EventBridge, Airflow, AWS Step Functions,, and more
Apply security, governance, and privacy best practices to your AWS data pipelines.
Create data lakes with S3, Glue, Redshift and more
Process batch and streaming data with Kinesis, EMR, containers, Lambda, and more
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Comidoc Review
Our Verdict
This Udemy course offers extensive coverage of AWS data engineering concepts and incorporates a hands-on approach with real-world scenarios. However, there's a need for better organization as updated content coexists with outdated material in certain sections. While occasional dry delivery styles may hinder engagement, overall, this course proves helpful to learners preparing for the AWS Certified Data Engineer Associate examination. Despite minor shortcomings, it remains one of the more comprehensive courses available that covers the latest best practices and AWS services.
What We Liked
- Well-organized course providing a comprehensive overview of AWS data engineering concepts and services, including Redshift, Glue, Athena, Kinesis, EMR, and more.
- Downloadable PDF of all course material for offline review and preparation.
- Includes a full-length practice exam to assess readiness for the DEA-C01 certification exam.
- Covers real-world scenarios while explaining concepts, allowing learners to better understand AWS data engineering applications.
Potential Drawbacks
- Inconsistent course order and some outdated content leading to confusion in certain sections.
- Some hands-on labs are not detailed enough, causing difficulty for learners to follow through the exercises.
- A small number of lessons have overly corporate and dry delivery styles, impacting user engagement.
- Few critical options for specific AWS services (e.g., Glue, KDS, KDF) are missing in the explanations.
5591620
udemy ID
03/10/2023
course created date
19/10/2023
course indexed date
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