AWS Data Engineering
Build production data pipelines on AWS: S3 lake layout, Glue ETL, Athena, Kinesis streaming, Redshift serving, and Step Functions orchestration — assembled into one governed pipeline from raw ingestion to a queryable, cost-monitored serving layer.
What this course covers.
5 modules, 34 named skill atoms. Expand any module to see them.
1Lake Foundations7 skill atoms
2Batch ETL7 skill atoms
3Streaming Ingest7 skill atoms
4Serving & Query6 skill atoms
5Orchestration & Ops7 skill atoms
CL-204 in the role journeys.
This course appears in 2 of our 45 role journeys. Here is what a learner takes immediately before and after it in each.
Roles this course serves
This course is authored to band B4.
Every course we run is written to one rung of the CASI ladder, so a plan can be assembled to take a team from where they are to where they need to be.
What do B1–B6 mean?The CASI Capability Ladder — click to expand
Every course targets a band on the CASI Capability Ladder — our six-band proficiency scale, anchored to open standards (O*NET, ESCO, NICE, NIST AI RMF, Bloom's). A band tells you how deep a course goes, and what evidence proves it.
A note on B6. Courses in this catalog target B1–B5. B6 is not taught — it is recognised, through a portfolio and a panel, once someone is setting direction for others. Every journey here is built to land a learner at B5.
Other Cloud courses at this level.
AWS Solutions Architecture
Azure Solutions Architecture
Azure Data Engineering
Google Cloud Data Engineering Bootcamp
GCP Architecture & Operations
Open Table Formats: Iceberg, Delta & Hudi
Run CL-204 for your team.
This course runs at several lengths depending on how deep you need to go and how much of it your people already have. Tell us who is being trained and we will scope it.