AWS Certified Data Engineer Associate Exam Prep

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

AWS Certified Data Engineer Associate Exam Prep

Coursera · Intermediate ·🔄 Data Engineering ·1mo ago
This course prepares learners for the AWS Certified Data Engineer – Associate certification while developing practical knowledge of designing and managing data solutions on AWS. Through a combination of essential theory, clear architectural diagrams, and guided hands-on exercises, the course helps learners understand how modern data engineering workflows operate in a cloud environment. The training covers the four key domains of the DEA-C01 exam guide, including data ingestion and transformation, data store management, data operations and support, and data security and governance. Learners will explore how data pipelines are built, how data is stored and processed at scale, and how AWS services are used to support reliable, secure, and efficient data platforms. Throughout the course, real-world scenarios and practical demonstrations reinforce core concepts and help learners gain the confidence required to implement data engineering solutions on AWS.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

AI-Native Data Engineering: From ETL Pipelines to Agentic Data Serving
Learn how AI-native data engineering replaces traditional ETL pipelines with agentic data serving for more flexibility and scalability
Dev.to · Aditya Somani
How I Broke Down My ETL Pipeline Project Into Smaller Engineering Exercises
Break down complex ETL pipeline projects into smaller, manageable engineering exercises to improve understanding and implementation of modern data systems
Dev.to · Tanmay
I’m looking for advice from people who have handled very large Excel/CSV imports in production systems.
Learn to handle large Excel/CSV imports in production systems with reliability and scalability
Reddit r/learnprogramming
Data Engineering Terminology Made Easy for Data Scientists, ML Engineers, and Anyone Who’s Ever…
Learn data engineering terminology in simple language to improve collaboration between data scientists, ML engineers, and data engineers
Medium · Machine Learning
Up next
pg_lake: Postgres as a lakehouse | POSETTE: An Event for Postgres 2026
Microsoft Developer
Watch →