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

Q: How long is the AWS Certified Data Engineer – Associate (DEA-C01) course, and when does it start?

The course runs for 30 hours of live, instructor-led online training across 16 sessions. Weekend and weekday batches are available, and the next batch starts on Monday, October 26, 2026.

Q: What if I don't pass the AWS Certified Data Engineer – Associate (DEA-C01) exam?

Your enrollment is covered by CertOcean's pass or full refund guarantee. If you don't clear the exam, you can claim a full refund under the guarantee terms.

CertOcean's AWS Certified Data Engineer – Associate (DEA-C01) training is a live, instructor-led online course that prepares you for the AWS Certified Data Engineer – Associate (DEA-C01) certification exam. You learn in 16 live sessions (30 hours in total) with an expert instructor, work through 11 curriculum modules with hands-on assignments and keep lifetime access to the class recordings.

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30 hoursLive training
16 sessionsWith an instructor
11 modules95 topics
Mon, Oct 26Next batch

DEA AWSExam-focused live training

$399 ~~$539~~ One-time · USD

You save$14026% off

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Course overview

About the AWS Certified Data Engineer – Associate (DEA-C01) training

What does the DEA-C01 certification validate? The AWS Certified Data Engineer – Associate (DEA-C01) certification validates your skills in core AWS data services: data ingestion and transformation, pipeline orchestration, programming concepts, data modeling, data lifecycle management and data quality. CertOcean's course gives you a full understanding of AWS data engineering and the ability to design, build and manage data solutions on AWS.

This course includes

Instructor-led live classes30 hours of live online classes.
Practical hands-onEvery class is followed by hands-on lab practice.
Lifetime accessKeep lifetime access to all course material, including presentations, quizzes, installation guides and class recordings.
24/7 expert supportOur support team is available 24x7 to answer technical questions.
CertificationComplete the course and project to receive CertOcean's AWS Data Engineer – Associate training certificate. The AWS certification is earned by passing the DEA-C01 exam.
AssessmentsRegular assessments and quizzes check your learning as you go.

What you'll learn in this course

Build and manage batch and streaming data processing workflows using AWS Glue, Amazon EMR, and AWS Lambda
Design and implement scalable data ingestion pipelines using AWS services like Amazon S3, Kinesis, and Amazon MSK
Understand the core responsibilities of an AWS Data Engineer and the DEA-C01 exam blueprint
Transform, clean, and prepare data using ETL/ELT techniques on AWS
Design and optimize data storage solutions using Amazon S3, Redshift, DynamoDB, RDS, and data lakes
Implement data modeling techniques for analytics, reporting, and downstream consumption
Orchestrate data workflows using AWS Step Functions and AWS Glue Workflows
Ensure data quality, data validation, and lifecycle management across pipelines
Secure data pipelines using IAM, encryption, VPC, and AWS security best practices
Integrate AWS data services with analytics and visualization tools
Monitor, troubleshoot, and optimize data pipelines for performance, cost, and reliability
Apply best practices for logging, monitoring, and error handling in data engineering solutions
Prepare confidently for the AWS Certified Data Engineer – Associate (DEA-C01) exam with real-world scenarios and exam-focused training

What is AWS Certified Data Engineer – Associate training?

AWS Certified Data Engineer – Associate training is a course that builds in-demand data engineering skills on AWS and prepares you for the DEA-C01 exam. You learn to design, build and manage scalable data pipelines, and master batch and streaming processing with AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon EMR and Amazon Kinesis.

You also gain practical knowledge of data lakes, ETL and ELT workflows and analytics architectures, along with best practices for data security, performance tuning and cost optimization.

DEA-C01 exam domains:

Data Ingestion and Transformation (34%)
Data Store Management (26%)
Data Operations and Support (22%)
Data Security and Governance (18%)

Curriculum

AWS Certified Data Engineer – Associate (DEA-C01) course syllabus

11 modules · 95 topics · 30 hours of live training

AWS Data Engineering and Data Ingestion 15 topics

Introduction to AWS services and global infrastructure
Data engineering fundamentals and properties of data
ETL basics and modern data workflows
Data ingestion patterns and services
Streaming vs. batch ingestion
Replayability of ingestion pipelines
Stateful and stateless data transactions
Reading data from streaming and batch sources
Configuring ingestion options and batch ingestion
Consuming data APIs
Schedulers and event triggers
Calling a Lambda function from Amazon Kinesis
IP address allowlists
Throttling and handling rate limits
Streaming data distribution

Data Transformation and Processing 12 topics

Data transformation and ETL pipelines
Business requirements for ETL
Data volume, velocity and variety
Implementing ETL pipelines
Apache Spark for data processing
Connecting and integrating data from multiple sources
Optimizing ETL pipelines and container usage
Cost optimization strategies
Data transformation services
Transforming data formats
Troubleshooting
Making data available and creating data APIs

Orchestrating Data Pipelines and Programming Concepts 13 topics

Data pipeline orchestration
Integrating AWS services for ETL pipelines
Event-driven architecture
Serverless workflows
Orchestration and notification services
CI/CD for data pipelines
SQL queries for data transformation and query optimization
Infrastructure as code with AWS CDK and AWS CloudFormation
Data structures and algorithms
Optimizing code for runtime efficiency
Configuring Lambda for concurrency and performance
Serverless deployments with AWS SAM
Mounting storage volumes

Data Storage Solutions 5 topics

Storage platforms and services
Configuring storage for performance
Common data storage formats and when to use each
Aligning storage with data migration requirements
Choosing storage for different access patterns

Data Cataloging and Lifecycle Management 9 topics

Creating a data catalog
AWS Glue Data Catalog
Apache Hive metastore
Data classification
Business and technical requirements
Metadata and its components
The role of data catalogs in data management
Storage for hot and cold data
Data retention policies and legal requirements

Data Modeling and Schema Conversion 6 topics

Modeling structured, semi-structured and unstructured data
Schema evolution techniques
Schema conversion with the AWS Schema Conversion Tool and AWS DMS Schema Conversion
Data lineage and tools to track it
Indexing and partitioning best practices
Data compression and optimization techniques

Automating Data Processing and Analyzing Data 10 topics

AWS data processing services
Maintaining and troubleshooting data processing
Using APIs and SDKs to process data
Orchestrating pipelines with Amazon MWAA and AWS Step Functions
Managing events and schedules with Amazon EventBridge
Preparing data with AWS Glue DataBrew
Automating processing with AWS Lambda
Querying data with Amazon Athena
Provisioned and serverless analytics services
Data aggregation, cleansing and visualization

Maintaining and Monitoring Data Pipelines 8 topics

Logging application data with Amazon CloudWatch Logs
Logging access to AWS services and tracking API calls with AWS CloudTrail
Monitoring, alerting and extracting logs for audits
Performance tuning and troubleshooting
Analyzing logs
Data sampling and handling data skew
Data validation and profiling
Defining and running data quality checks

Data Authentication and Authorization 8 topics

VPC security, security groups and network ACLs
Managed vs. unmanaged services
Password-based, certificate-based and role-based authentication
AWS managed vs. customer managed policies
Role-based, policy-based, tag-based and attribute-based authorization
The principle of least privilege
Implementing role-based access control (RBAC)
Protecting data from unauthorized access

Data Encryption, Logging and Governance 6 topics

Encryption options in Amazon Redshift, Amazon EMR and AWS Glue
Client-side vs. server-side encryption
Protecting sensitive data with anonymization, masking and salting
Application logging and centralized AWS logs
Preparing for audits
Data privacy, protecting PII and data sovereignty

Industry Use Cases (Self-Paced) 3 topics

Use cases for AWS data solutions
Emerging trends in AWS data engineering
How to keep up with industry trends

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Upcoming batches

Next AWS Certified Data Engineer – Associate (DEA-C01) batches

Live online classes with an instructor, 9:00 AM to 5:00 PM Eastern Time (ET).

Weekday batch

Starts Monday, October 26

Starts in 2 days · Live online

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Weekend batch

Starts Saturday, October 31

Starts in 7 days · Live online

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Sample certificate

Certificate IDCO-2026-48217

Certificate of Completion

This is to certify that

Michael Anderson

has successfully completed 30 hours of live, instructor-led training in

AWS Certified Data Engineer – Associate (DEA-C01)

October 24, 2026Date of issue Head of Training

Certification

Earn your AWS Certified Data Engineer – Associate (DEA-C01) certificate

Certificate of completionIssued by CertOcean when you finish the training and assignments.
Official AWS certificationAwarded by AWS when you pass the exam. The course is built to get you there.
Show it to employersAdd it to your LinkedIn profile and resume.

Start your certification

Learner reviews

Why learners choose CertOcean

Rated Excellent · 4.9 out of 5 on Trustpilot

The training curriculum was great. CertOcean provided me everything required to obtain my CISM. They're excellent!

Laxmi Haya Vadan KaramcheduUnited States · CISMVerified

Very resourceful company, I passed my PMP exam at first attempt, highly recommended.

IjeomaCanada · PMPVerified

Great training support! Helped me pass several certifications.

Cozumel TyUnited StatesVerified

US, Canada and UK hoursClasses set around your working day
Expert instructorsWorking professionals in your field
Career supportResume and interview help

FAQ

AWS Certified Data Engineer – Associate (DEA-C01) course FAQs

Can't find your answer? A course advisor can help with the syllabus, batch dates and exam questions.

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How much does the AWS Certified Data Engineer – Associate (DEA-C01) course cost?

The AWS Certified Data Engineer – Associate (DEA-C01) training costs $399, down from the regular $539 (you save 26%). It is a one-time payment in US dollars, and you can pay securely by card or PayPal.

How long is the AWS Certified Data Engineer – Associate (DEA-C01) course, and when does it start?

The course runs for 30 hours of live, instructor-led online training across 16 sessions. Weekend and weekday batches are available, and the next batch starts on Monday, October 26, 2026.

What skills will I gain from AWS Data Engineer training?

You will learn to design, build and maintain data processing systems on AWS, including data pipelines, data warehousing, data modeling and the AWS data services that support them.

What jobs can I get with AWS data engineering skills?

AWS data engineering skills lead to roles such as data engineer, senior data engineer, data engineering manager, cloud data engineer and big data engineer, as well as roles in data warehousing and analytics.

Does AWS data engineering require coding?

Yes. AWS data engineers write code, mainly in Python and SQL (and sometimes Java or Scala), to build, run and maintain data solutions on AWS.

What does an AWS data engineer do?

An AWS data engineer designs, builds and manages data solutions on AWS. The work includes data ingestion, transformation, storage, modeling and pipeline orchestration, plus data quality, governance, security and performance optimization.

How do you prepare for the AWS Certified Data Engineer – Associate exam?

Learn the four DEA-C01 domains in a structured course, such as CertOcean's 30 hours of live classes.
Practice with real industry use cases, hands-on demos and capstone projects.
Complete assignments and knowledge checks to find your weak spots.
Master data ingestion, transformation and pipeline management.
Learn to optimize data processing and scheduling.
Understand data security and governance best practices.
Take practice tests to get used to the question style and timing.

Which AWS services are used for data engineering?

Key AWS data engineering services include Amazon S3 for storage, AWS Glue for ETL, Amazon Redshift for data warehousing, Amazon Kinesis for real-time streaming, Amazon EMR for big data processing, Amazon RDS and Aurora for relational databases, Amazon DynamoDB for NoSQL, AWS Lake Formation for data lakes and Amazon Athena for querying data in S3.

Will I get a certificate after the AWS Certified Data Engineer – Associate (DEA-C01) training?

Yes. You receive a CertOcean certificate of completion when you finish the training. The official AWS certification is awarded by AWS when you pass the exam, and this course prepares you for it.

What if I don't pass the AWS Certified Data Engineer – Associate (DEA-C01) exam?

Your enrollment is covered by CertOcean's pass or full refund guarantee. If you don't clear the exam, you can claim a full refund under the guarantee terms.

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