Ai Ml · AWS · intermediate
Data Engineering on AWS
Build modern data pipelines on AWS. Master S3 data lakes, Glue ETL, Athena, Kinesis streaming, Redshift, and Lake Formation for analytics at scale.
- 4 hours
- 13 lessons
- 3 modules
- updated April 2026
Try it before you sign up
Read a full lesson and answer 2 questions from the Module 1 quiz. No account needed.
AWS S3 Data Lake Architecture
3 modules, 13 lessons
Module 1 is free — lessons, hands-on walkthrough and quiz.
- videoAWS S3 Data Lake Architecture22 min
- readAWS Data Lake Architecture15 min
- videoAWS S3 Data Lake Architecture22 min
- hands-onGlue and Athena CLI20 min
- quizQuiz: Data Lake and Glue8 min
Built by the CloudaQube team
No celebrity instructor — here is exactly what goes into the course instead.
- 01 1 guided hands-on walkthroughs you run in your own AWS account.
- 02 3 module quizzes — every answer comes with an explanation.
- 03 Last updated April 2026.
- 04 Any module can become a hands-on lab in Labs Studio.
What you'll be able to do
- 01 Build data lakes with S3 and Lake Formation
- 02 Process data with AWS Glue ETL
- 03 Query data with Amazon Athena
- 04 Stream data with Kinesis
- 05 Load and query data with Redshift
- — AWS fundamentals
- — Basic SQL knowledge
- — Python basics
Before you start
What do I need for the hands-on walkthroughs?
Your own AWS account. The walkthroughs create real resources; the AWS Free Tier covers many of them. Delete what you create when you finish so you don’t keep paying. Pro members can use a CloudaQube AWS sandbox instead.
How long does it take?
About 4 hours of lessons, videos and hands-on walkthroughs across 3 modules.
What’s free?
Module 1 in full — lessons, hands-on walkthrough and quiz — with no card required. Any paid plan (from $8.99/mo) unlocks all 3 modules, and starts with a 14-day free trial.
Start the course with Module 1 free.
No card required. Unlock every module from $8.99/mo when you’re ready.