Will I get hands-on experience with AWS tools and services?

Yes. You will work through 20+ AWS demonstrations covering storage, databases, analytics, streaming, security, monitoring, automation, and cloud infrastructure workflows.

What AWS services will I learn through this specialization?

You will learn about various AWS services such as Amazon S3, DynamoDB, RDS, Redshift, AWS Glue, Athena, EMR, Kinesis, Lambda, ECS, EKS, CloudWatch, VPC, IAM, CloudFormation, and SageMaker through this specialization. Lambda, ECS, EKS, CloudWatch, VPC, IAM, CloudFormation, and SageMaker.

What makes this specialization different from a general AWS course?

This specialization focuses on AWS data engineering, combining exam-aligned knowledge with practical experience across AWS services used to build and manage modern data solutions.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

AWS Certified Data Engineer Associate Exam Prep Specialization

AWS Certified Data Engineer Associate Exam Prep Specialization

Start Your AWS Data Engineer Journey Today.

Master essential skills for AWS Data Engineer Certification and accelerate your career.

Instructor: LearnKartS

Included with Learn more

Ask Coursera

4 course series

Get in-depth knowledge of a subject

from 8 reviews of courses in this program

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Get in-depth knowledge of a subject

from 8 reviews of courses in this program

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Master data concepts such as data types, data modeling, SQL joins, and performance challenges in order to have a solid foundation of Data Engineering
Learn about AWS storage (S3, DynamoDB and RDS), compute tools (EC2, Lambda and ECS) to drive your applications and data pipelines
Architect scalable analytics pipelines with Redshift, Apache Spark, AWS Glue, Kinesis, Firehose and OpenSearch for processing data
Become proficient in networking, security, monitoring and cost control using VPC CloudWatch AWS CLI, SageMaker Data Wrangler

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from LearnKartS

Specialization - 4 course series

Step into the world of cloud data engineering and learn how to design the AWS-powered data pipelines behind modern applications.

The AWS Certified Data Engineer Associate Prep Specialization helps you develop skills for the AWS Data Engineer certification journey through structured lessons, hands-on AWS demonstrations, and real-world cloud scenarios.

Begin with core data foundations, which include data types, data lakes, data warehouses, data modeling, schema evolution, SQL joins, and performance issues like data skew. Discover AWS storage, compute, analytics, and streaming solutions while learning how modern data pipelines are created, maintained, and optimized.

Learn about AWS services like storage, processing, analytics, security, monitoring, automation, and cost management through guided demos and projects. The specialization also reinforces exam objectives through targeted certification preparation.

This specialization combines real-world experience with exam-focused learning to assist you in developing, securing, and monitoring AWS data solutions. It is intended for aspiring data engineers, software engineers, and cloud professionals.

Enroll now and take the next step in your cloud data engineering career.

Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This specialization is not affiliated with or endorsed by AWS.

Applied Learning Project

Build practical AWS data engineering experience through 20+ hands-on-demos designed around real-world cloud workflows and production scenarios.

Create and manage Amazon S3 buckets, DynamoDB with DAX, and RDS databases to understand AWS storage and database solutions.
Work with EC2 instances, ECS containers, and EKS clusters to explore compute and container-based data environments.
Build analytics and streaming workflows using Amazon Redshift, Athena with AWS Glue, Kinesis Data Streams, Amazon SQS with Dead Letter Queues, and Amazon SNS.
Strengthen cloud security and operations by configuring IAM users, groups, and policies, enabling MFA, designing VPCs and VPC peering, and monitoring systems with CloudWatch alarms.
Automate infrastructure using CloudFormation, explore API Gateway, manage costs with AWS Budgets, and get started with Amazon SageMaker.

Data Engineering Foundations on AWS

Course 1, 5 hours

What you'll learn

Master different data types including structured, semi-structured, and unstructured
Become proficient in SQL by using joins, regex, and performing aggregations
Use AWS storage services such as S3, EBS, EFS, versioning, replication, and backups
Build and manage ETL pipelines to efficiently process data and create workflows

Skills you'll gain

Category: Data Storage

Category: Data Security

Category: Data Quality

Category: SQL

Category: Data Management

Category: Extract, Transform, Load

Category: Amazon S3

Category: Data Modeling

Category: Cloud Security

Category: Cloud Storage

Category: Cloud Engineering

Category: Git (Version Control System)

Category: AWS Identity and Access Management (IAM)

Category: Data Processing

Category: Data Storage Technologies

Category: Query Languages

Category: Amazon Web Services

Category: Version Control

Category: Big Data

Category: Data Pipelines

AWS Databases & Compute for Data Engineers

Course 2, 7 hours

What you'll learn

Build and manage AWS DynamoDB and RDS databases
Automate tasks with AWS Lambda and EC2 for data engineering workflows
Explore Docker, ECS, and EKS for containerized applications
Master data migration and synchronization with AWS DMS and DataSync

Skills you'll gain

Category: Amazon DynamoDB

Category: Containerization

Category: Kubernetes

Category: Amazon Elastic Compute Cloud

Category: Serverless Computing

Category: Amazon Web Services

Category: Docker (Software)

Category: AWS Identity and Access Management (IAM)

Category: Data Migration

Category: Security Controls

Category: Application Programming Interface (API)

Category: Databases

Category: Scalability

Category: Data Import/Export

Category: Database Management

Category: Data Security

Category: Performance Tuning

Category: Cloud Security

Real-Time Data Pipelines & Analytics on AWS

Course 3, 8 hours

What you'll learn

Build real-time data pipelines with AWS tools like Kinesis, Glue, and Redshift.
Analyze and visualize streaming data using Athena, QuickSight, and OpenSearch.
Secure streams, scale clusters, and integrate Spark with AWS services.
Design production-ready pipelines for real-time business insights.

Skills you'll gain

Category: Data Pipelines

Category: Real Time Data

Category: Amazon Redshift

Category: AWS Kinesis

Category: Apache Spark

Category: Data Security

Category: Extract, Transform, Load

Category: Serverless Computing

Category: Amazon Web Services

Category: Scalability

Category: Interactive Data Visualization

Category: Analytics

Category: Data Processing

Category: Data Transformation

Category: Apache Airflow

AWS Security, Logging & DevOps for Data Engineers

Course 4, 9 hours

What you'll learn

Master IAM, MFA, and least privilege policies to protect AWS resources.
Optimize AWS costs with Budgets, Cost Explorer, and smart strategies.
Automate deployments using CloudFormation, CodePipeline, and CodeDeploy.
Manage DevOps workflows with CodeCommit, CodeBuild, and AWS Cloud9.

Skills you'll gain

Category: Cloud Security

Category: Multi-Factor Authentication

Category: AWS SageMaker

Category: AWS CloudFormation

Category: Amazon Web Services

Category: Network Security

Category: Amazon CloudWatch

Category: AWS Identity and Access Management (IAM)

Category: Key Management

Category: Devops Tools

Category: Cloud Engineering

Category: Data Loss Prevention

Category: Infrastructure as Code (IaC)

Category: Data Security

Category: Software Development Tools

Category: Model Deployment

Category: AI Integrations

Category: Cloud Management

Category: CI/CD

Category: System Monitoring

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

LearnKartS

199 Courses242,698 learners

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Frequently asked questions

This specialization is designed for aspiring data engineers, cloud professionals, software engineers, and data practitioners who want to build AWS data engineering skills and prepare for the AWS Certified Data Engineer – Associate certification.

Not Required, but basic familiarity with cloud concepts, data, or programming can be helpful, but the specialization follows a structured progression from foundational data concepts to advanced AWS data engineering solutions.

The specialization covers key exam domains, including data ingestion, transformation, storage, operations, security, and governance, while reinforcing concepts through guided lessons and hands-on demonstrations.