What career opportunities can this specialization lead to?

This course will prepare you for roles such as AWS Data Engineer, Cloud Data Architect, Big Data Engineer, DevOps Engineer, and Analytics Specialist.

What makes this specialization unique compared to other AWS courses?

It is specifically built for data engineers. Instead of focusing solely on the cloud or data, it combines security, storage, streaming, DevOps, machine learning, and cost optimization into a single path, encompassing the complete data lifecycle in AWS.

Can this specialization help with AWS certifications?

Yes. The content closely matches the AWS Certified Data Engineer Associate exam. It develops practical and certification-ready knowledge.

How will this specialization help me in real projects?

Each module stresses application. Whether you're deploying a container, scaling a Kinesis stream, designing a VPC, or configuring monitoring dashboards, you'll be faced with challenges that mirror real-world project environments, ensuring you're ready for the job when you finish.

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 Specialization

AWS Certified Data Engineer Associate Specialization

Become a Certified AWS Data Engineer. Gain in-demand AWS skills, hands-on experience, and exam-ready confidence.

Instructor: LearnKartS

Included with Coursera Plus

Learn more

4 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

1 month at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

4 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

1 month at 10 hours a week

Flexible schedule

Earn a career credential

Share your expertise with employers

What you'll learn

Master end-to-end data pipelines on AWS with S3, DynamoDB, RDS, and Redshift.
Process and analyze real-time streams using Kinesis, Glue, Athena, EMR, and Spark.
Secure, monitor, and automate workloads with VPC, IAM, CloudWatch, and CloudFormation.
Boost efficiency and drive innovation with DevOps practices and SageMaker machine learning.

Overview

Data is the new business currency, and AWS is where it lives. The AWS Certified Data Engineer – Associate certification provides you with the tools and knowledge to integrate, build, and manage a data pipeline portfolio that provides value.

From secure storage on S3 and DynamoDB to big data analytics with Redshift and EMR, and real-time streaming with Kinesis and MSK, you’ll learn how to handle data at any scale with confidence.

This specialization combines fundamental and advanced AWS knowledge on data modeling, lineage, ETL orchestration, schema evolution, and machine learning integration with SageMaker. We believe in hands-on demos and video lectures that teach you not only the theory but also how to build real-world projects, allowing you to apply for jobs.

Ideal for anyone new to cloud data engineering, this specialization aligns with AWS certification standards and provides high-growth career opportunities in cloud data engineering, DevOps, and analytics.

Enroll now and add AWS as a special skill in your career.

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English

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

Throughout this specialization, you’ll gain hands-on experience through real-world demos that bring AWS concepts to life.

You will learn how to design IAM policies, set up MFA, and CloudWatch alarms. Projects will then proceed to creating ETL workflows with Glue and EMR, scaling streaming pipelines with Kinesis and MSK, and enhancing Redshift query efficiency. You’ll also explore SageMaker demos that allow machine learning to be integrated into data solutions.

Every demo resembles real-world work, so you not only learn the know-how to secure, optimize, and automate data engineering pipelines. You gain REAL JOB confidence + AWS Certification preparedness to easily tackle industry opportunities.

Data Engineering Foundations on AWS

Course 15 hoursView course

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

Data Storage, Extract, Transform, Load, Data Management, SQL, Data Lakes, Data Quality, Amazon S3, Data Warehousing, Data Storage Technologies, Database Systems, Amazon Web Services, Data Modeling, Cloud Storage, Cloud Engineering, Data Pipelines, and Data Validation

AWS Databases & Compute for Data Engineers

Course 27 hoursView course

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

Amazon DynamoDB, Containerization, Docker (Software), Data Migration, AWS Identity and Access Management (IAM), Amazon Elastic Compute Cloud, Serverless Computing, Amazon Web Services, Kubernetes, Data Infrastructure, Database Management, Cloud Engineering, NoSQL, Performance Tuning, Databases, Operational Databases, Scalability, Cloud Security, and Amazon S3

Real-Time Data Pipelines & Analytics on AWS

Course 38 hoursView course

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

Real Time Data, Amazon Redshift, Data Pipelines, AWS Kinesis, Extract, Transform, Load, Performance Tuning, Apache Spark, Serverless Computing, Scalability, Amazon Web Services, Amazon CloudWatch, Advanced Analytics, Data Visualization, Big Data, Data Transformation, Amazon S3, and Data Processing

AWS Security, Logging & DevOps for Data Engineers

Course 48 hoursView course

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

Cloud Security, AWS SageMaker, AWS Identity and Access Management (IAM), Data Pipelines, Amazon Web Services, AWS CloudFormation, Multi-Factor Authentication, Amazon CloudWatch, Network Security, Devops Tools, Cloud Infrastructure, CI/CD, System Monitoring, Data Security, Continuous Deployment, Amazon S3, and Infrastructure as Code (IaC)

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

98 Courses122,432 learners

Offered by

LearnKartS

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Frequently asked questions

A basic familiarity with data principles and cloud services is beneficial. No advanced experience is necessary.

Yes, we do recommend that.

You'll learn about data modeling, lineage, schema evolution, SQL joins and regex, Git fundamentals, S3 and DynamoDB mastery, RDS and Redshift, serverless with Lambda and SAM, data pipelines with Glue and Kinesis, CloudWatch and CloudTrail monitoring, cost optimization, and SageMaker ML integration.

AWS Certified Data Engineer Associate Specialization

What you'll learn

Overview

Skills you'll gain

Tools you'll learn

What’s included

Advance your subject-matter expertise