AWS Certified Data Engineer – Associate (DEA-C01) Prep

Master modern data engineering concepts, tools, and best practices to pass the AWS Certified Data Engineer – Associate (DEA-C01) exam with confidence.

This comprehensive certification preparation program covers the complete blueprint of the AWS Certified Data Engineer – Associate exam across ingestion, storage, transformation, security, and operations. Learners will develop hands-on proficiency with foundational and modern AWS analytics services, including Amazon Kinesis, AWS Glue, Amazon EMR, Amazon Redshift, and AWS Lake Formation. Designed for aspiring and practicing data professionals, this course equips you with the architecture patterns and operational troubleshooting skills required to excel on exam day. Every lesson includes tutor notes, a video, a hands-on lab, exercises and a 12-question quiz you must pass at 80%, followed by a pooled final exam and free and paid practice tests. Erudex is independent and not affiliated with Amazon Web Services.

120h Certificate available

AWS CertificationData EngineeringCloud AnalyticsDEA-C01

Curriculum

One complete track with its own final exam and certificate.

8 modules aligned to the official exam/course outline, with a pooled final exam (80% to pass).

Explore AWS streaming architectures to capture, buffer, and process continuous streaming d

1.1 Ingesting Streaming Data with Amazon Kinesis Data Streams Lab75 min
1.2 Configuring Delivery Streams with Amazon Kinesis Data Firehose Lab75 min
1.3 Managed Apache Kafka Deployments with Amazon MSK Lab75 min
1.4 Stream Analytics using Kinesis Data Analytics and Apache Flink Lab75 min
1.5 Handling Streaming Errors, Shard Splitting, and Throttling Lab75 min

You will learn to

Design and implement scalable batch and real-time streaming data ingestion pipelines on AWS.
Architect and optimize high-performance data lakes and analytical warehouses using Amazon S3 and Amazon Redshift.
Develop scalable data transformation workflows using AWS Glue, Amazon EMR, and Apache Spark.
Enforce fine-grained data security, governance, encryption, and compliance using AWS Lake Formation, KMS, and IAM.
Monitor, troubleshoot, and optimize data pipelines for cost efficiency and peak operational performance.

Prerequisites

• Foundational understanding of core AWS services, cloud storage, and IAM security concepts.
• Working knowledge of SQL and at least one programming language commonly used in data pipelines (such as Python).

Format

40 lessons · ~120 hours · 80-question exam

Careers this prepares you for

Data Engineer

How you study

Every lesson pairs an in-depth video with written notes, key takeaways, a hands-on lab, exercises and a quiz. Work at your own pace, then sit the final examination for your Erudex certificate.

AWS Certified Data Engineer – Associate (DEA-C01) Prep

Curriculum

Module 1Module 1: Real-Time Streaming Data Ingestion

Module 2Module 2: Batch Ingestion and Hybrid Data Migration

Module 3Module 3: Serverless ETL and Data Transformation with AWS Glue

Module 4Module 4: Big Data Processing and Pipeline Orchestration

Module 5Module 5: Modern Data Lakes and Cloud Data Warehousing

Module 6Module 6: NoSQL, Operational Databases, and OpenSearch

Module 7Module 7: Data Governance, Security, and Compliance

Module 8Module 8: Monitoring, Cost Optimization, and Exam Readiness

Careers this prepares you for

How you study