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.

Spezialisierung „AWS Certified Data Engineer Associate Exam Prep“

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spezialisierung ist nicht verfügbar in Deutsch (Deutschland)

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Spezialisierung „AWS Certified Data Engineer Associate Exam Prep“

Start Your AWS Data Engineer Journey Today.

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

Dozent: LearnKartS

Bei Mehr erfahren enthalten

4-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

aus 9 Bewertungen von Kursen in diesem Programm

Stufe Anfänger

Empfohlene Erfahrung

4 Wochen zu vervollständigen

unter 10 Stunden pro Woche

4-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

aus 9 Bewertungen von Kursen in diesem Programm

Stufe Anfänger

Empfohlene Erfahrung

4 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Was Sie lernen werden

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

Kompetenzen, die Sie erwerben

Kategorie: Data Loss Prevention
Kategorie: Data Architecture
Kategorie: Data Processing
Kategorie: Data Engineering
Kategorie: System Monitoring
Kategorie: Data Management
Kategorie: Network Security
Kategorie: Cloud Management
Kategorie: Cloud Security
Kategorie: Cloud Computing

Werkzeuge, die Sie lernen werden

Kategorie: Amazon S3
Kategorie: Kubernetes
Kategorie: AWS SageMaker
Kategorie: AWS Kinesis
Kategorie: Amazon Redshift
Kategorie: Git (Version Control System)
Kategorie: AWS Identity and Access Management (IAM)
Kategorie: Amazon Elastic Compute Cloud
Kategorie: Query Languages
Kategorie: AWS CloudFormation

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Unterrichtet in Englisch

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

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Erweitern Sie Ihre Fachkenntnisse.

Erlernen Sie gefragte Kompetenzen von Universitäten und Branchenexperten.
Erlernen Sie ein Thema oder ein Tool mit echten Projekten.
Entwickeln Sie ein fundiertes Verständnisse der Kernkonzepte.
Erwerben Sie ein Karrierezertifikat von LearnKartS.

Spezialisierung - 4 Kursreihen

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.

Übungsprojekt

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

KURS 1, 5 Stunden

Was Sie lernen werden

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

Kompetenzen, die Sie erwerben

Kategorie: Data Storage

Kategorie: Data Management

Kategorie: Extract, Transform, Load

Kategorie: Amazon S3

Kategorie: Data Security

Kategorie: SQL

Kategorie: Data Quality

Kategorie: Data Storage Technologies

Kategorie: AWS Identity and Access Management (IAM)

Kategorie: Data Processing

Kategorie: Big Data

Kategorie: Git (Version Control System)

Kategorie: Cloud Security

Kategorie: Amazon Web Services

Kategorie: Cloud Engineering

Kategorie: Data Modeling

Kategorie: Cloud Storage

Kategorie: Query Languages

Kategorie: Version Control

Kategorie: Data Pipelines

AWS Databases & Compute for Data Engineers

KURS 2, 7 Stunden

Was Sie lernen werden

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

Kompetenzen, die Sie erwerben

Kategorie: Amazon DynamoDB

Kategorie: Docker (Software)

Kategorie: AWS Identity and Access Management (IAM)

Kategorie: Amazon Web Services

Kategorie: Containerization

Kategorie: Kubernetes

Kategorie: Serverless Computing

Kategorie: Data Migration

Kategorie: Amazon Elastic Compute Cloud

Kategorie: Data Import/Export

Kategorie: Data Security

Kategorie: Performance Tuning

Kategorie: Scalability

Kategorie: Security Controls

Kategorie: Application Programming Interface (API)

Kategorie: Cloud Security

Kategorie: Databases

Kategorie: Database Management

Real-Time Data Pipelines & Analytics on AWS

KURS 3, 8 Stunden

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Amazon Redshift

Kategorie: Real Time Data

Kategorie: Data Pipelines

Kategorie: Extract, Transform, Load

Kategorie: Data Security

Kategorie: Apache Spark

Kategorie: AWS Kinesis

Kategorie: Analytics

Kategorie: Scalability

Kategorie: Apache Airflow

Kategorie: Data Transformation

Kategorie: Interactive Data Visualization

Kategorie: Serverless Computing

Kategorie: Amazon Web Services

Kategorie: Data Processing

AWS Security, Logging & DevOps for Data Engineers

KURS 4, 9 Stunden

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Cloud Security

Kategorie: AWS Identity and Access Management (IAM)

Kategorie: Amazon Web Services

Kategorie: Network Security

Kategorie: Amazon CloudWatch

Kategorie: AWS CloudFormation

Kategorie: AWS SageMaker

Kategorie: Infrastructure as Code (IaC)

Kategorie: Data Loss Prevention

Kategorie: Software Development Tools

Kategorie: AI Integrations

Kategorie: Systems Architecture

Kategorie: Model Deployment

Kategorie: System Monitoring

Kategorie: Cloud Engineering

Kategorie: Devops Tools

Kategorie: Data Security

Kategorie: CI/CD

Kategorie: Machine Learning Software

Kategorie: Cloud Management

Erwerben Sie ein Karrierezertifikat.

Fügen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.

Dozent

LearnKartS

208 Kurse255.885 Lernende

von

LearnKartS

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Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

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Bewertungen von Lernenden aus AWS Certified Data Engineer Associate Exam Prep

Durchschnitt über alle 4 Kurse

5 Sterne
55,55 %
4 Sterne
33,33 %
3 Sterne
0 %
2 Sterne
11,11 %
1 Stern
0 %

Kurs: Data Engineering Foundations on AWS

Geprüft am 27. Nov. 2025

All I can say is everything thing you need to know in just less than 6 minutes videos was worth it,just clear your schedule a day to keep up .

Kurs: AWS Security, Logging & DevOps for Data Engineers

Geprüft am 9. Juli 2026

The whole course is really helpful for the exam. Thank you

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Häufig gestellte Fragen

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.