DATA-ENGINEERING

Data Engineering on AWS

Build cloud-native data engineering pipelines using AWS data services.

Beginner → Intermediate ·Contact us for schedule ·Live Online ·Certificate
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Course Intelligence

LevelBeginner → Intermediate
DurationContact us for schedule
DeliveryLive Online
LabsIncluded
CertificateIncluded
InstructorIndustry Expert
SupportPost-training
Course Details

What you'll learn

Why This Course

The capstone of the Data Engineering path — applying pipeline, warehousing, and streaming skills specifically to AWS's data service ecosystem.

What You’ll Learn

  • AWS data services (Glue, Redshift, Kinesis)
  • Building serverless data pipelines
  • Data lake architecture on S3
  • Cost and performance optimization

Curriculum

  1. AWS Data Services Overview
  2. Data Lakes on S3
  3. AWS Glue for ETL
  4. Redshift for Analytics
  5. Kinesis for Streaming
  6. Capstone: End-to-End AWS Data Platform

Who Should Attend

Data engineers building on AWS.

Prerequisites

Data engineering fundamentals and basic AWS familiarity.

Hands-on Labs

Practice what you learn.

Every course includes access to live lab environments for hands-on practice.

Ask About Labs →
Part Of A Larger Path

This course is one stage in the Data Engineering Learning Path

View Full Path →
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Cohort dates, corporate training options, or how this fits your learning path.

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