AWS Certified Data Engineer Associate 2025 – Hands On!
Udemy Coupon Code for AWS Certified Data Engineer Associate 2025 – Hands On! Course. AWS DEA-C01 certification prep course with exercises and a full-length practice exam. Redshift, Glue, Athena, and more
Created by Stephane Maarek, Frank Kane | 17 hours on-demand video course
AWS Data Engineer Course Overview
AWS Certified Data Engineer Associate 2025 – Hands On!
NEW: Now includes a full-length practice exam!
The 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 2 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.
AWS Certified Data Engineer – Associate Course
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 more
- Storing massive data lakes with the Simple Storage Service (S3) and managing data lifecycles
- Optimizing transactional queries with DynamoDB, DocumentDB, Keyspaces, and MemoryDB
- Tying your big data systems together with AWS Lambda
- Making unstructured data query-able with AWS Glue, Glue DataBrew, and Lake Formation
- Processing data at unlimited scale with Elastic MapReduce, including Apache Spark
- Applying advanced machine learning algorithms at scale with Amazon SageMaker
- Searching and analyzing petabyte-scale data with Amazon Opensearch (formerly Elasticsearch) Service
- Querying S3 data lakes with Amazon Athena
- Hosting massive-scale data warehouses with Redshift and Redshift Spectrum
- Integrating smaller data with your big data, using the Relational Database Service (RDS)
- Keeping your data secure with encryption, KMS, Macie, Secrets Manager, IAM, and more
- Managing and governing your systems with CloudFormation, CloudTrail, CloudWatch, AWS Config, and more
Throughout the course, you’ll have lots of opportunities to reinforce your learning with hands-on demos, a full-length practice exam, and additional practice questions. We’ll also arm you with some valuable test-taking tips and strategies along the way.
Although this is an associate-level exam, it is one of the more challenging ones. AWS recommends having a few years of both data engineering experience and AWS experience before tackling it. This exam is not intended for AWS beginners.
You want to go into the AWS Certified Data Engineer Associate Exam with confidence, and that’s what this course delivers. Hit the enroll button, and we’re excited to see you in the course… and ultimately to see you get your certification!
What you’ll 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
Recommended Data Engineering Courses
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AWS Data Engineer Course Reviews
Everything You Need to Know About AWS Certified Data Engineer Associate 2025 – Hands On!
This course offers a comprehensive and well-structured introduction to AWS Data Engineer. Stephane Mareek and Frank Kane, the instructor, brings a wealth of expertise in IT & Software, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of AWS Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, the instructor explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the AWS Certified Data Engineer Associate 2025 – Hands On! to anyone looking to learn AWS Data Engineer. This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
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