AWS Certified Data Engineer Associate Exam Prep

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Overview

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Imagine being the engineer the one who turns raw data into actual business decisions that power dashboards, recommendations, and real-time analytics at scale. The AWS Certified Data Engineer Associate prep Specialization is meant to guide you on that journey, step-by-step, from data foundations to production-ready cloud pipelines. You begin by mastering the foundations—data types, data warehouses and data lakes, data modeling, schema evolution, SQL joins, and performance challenges like data skew. From this foundation, you will progress to storage and databases on AWS, gaining knowledge on how S3, EBS, DynamoDB, RDS,MemoryDB, and Neptune are used with real applications, and then move into compute and serverless tools like Graviton EC2, AWS Lambda & SAM, as well as ECS, ESK, and DMS. In the next section, the focus shifts to building scalable analytics pipelines with Redshift and Redshift ML, Apache Spark, AWS Glue, Athena, EMR, Kinesis, Firehose, MSK, and OpenSearch – just like how it is used by teams working with streaming and large-scale data in production. At the end, you bring it all together with networking, security, monitoring, and cost management via VPC, CloudFront, Macie, CloudWatch, AWS CLI, and SageMaker Data Wrangler. Designed for aspiring data engineers and cloud professionals, this AWS Data Engineer Course stands out for its clear progression and real-world relevance, preparing you for high-demand data engineering roles on AWS.

Syllabus

Course 1: Data Engineering Foundations on AWS
Course 2: AWS Databases & Compute for Data Engineers
Course 3: Real-Time Data Pipelines & Analytics on AWS
Course 4: AWS Security, Logging & DevOps for Data Engineers

Courses

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7 hours 26 minutes
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Supercharge your data engineering career by gaining hands-on experience with AWS databases and computing services! In this comprehensive course, you'll learn how to use AWS products like DynamoDB, RDS, Lambda, EC2, and more to build scalable, high-performance data solutions. Whether you're a novice or an experienced professional, you'll learn by doing with real-world examples and scenarios. Discover important topics, including serverless designs, data migration with AWS DMS, containerization with Docker, ECS, and EKS, and more. Learn how to use Lambda and the Snow Family to handle big data workloads efficiently, ensure security, and automate procedures on Amazon Web Services. This course will allow you to not only gain industry-leading skills but also prepare for AWS certification exams, putting you in line for top data engineering opportunities. You will leave with the knowledge and confidence to tackle even the most difficult cloud challenges. Enroll today! Learn about AWS Databases & Compute for Data Engineers and become the cloud specialist that employers are looking for! Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.
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8 hours 55 minutes
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The future of data engineering lies in building secure, scalable, and automated cloud solutions—and this course helps you master exactly that. AWS Security, Logging & DevOps is the data professional's guide to securing data pipelines, optimizing costs, and maintaining the productivity of data engineers using AWS services. From VPC, Route 53, and CloudFront to IAM, MFA, and KMS, you will learn how to build secure environments by default. You'll also get hands-on experience monitoring with CloudWatch, CloudTrail, and Config, as well as DevOps automation using CodeCommit, CodeBuild, CodeDeploy, CodePipeline, and CloudFormation. With demos, videos, and quizzes—it's not just theory; every concept is demonstrated in practice. You'll learn more than the basics— including how to protect data with encryption, Amazon Macie, and secrets management, as well as achieve ML integration with SageMaker—and become highly proficient on the job market. Whether you're a beginner or seasoned pro, this course falls in line with AWS certification paths and simply paves the way for high-demand careers that include cloud, DevOps, and data engineering. Enroll now and transform your AWS skills into career success. Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.
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5 hours 21 minutes
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Step confidently into the world of Data Engineering on AWS with this foundation-building course designed for beginners and professionals alike. In today's data-driven world, organizations require specialists who can design, optimize, and manage cloud pipelines, data models, and storage systems—and this course will provide you with just that. You'll learn about structured, semi-structured, and unstructured data, as well as ETL pipeline orchestration and SQL basics for data engineers. Following AWS best practices, you'll acquire hands-on experience with Amazon S3, EBS, EFS, encryption, versioning, and lifecycle management—all while learning how to maintain data quality, lineage, and schema evolution. You will learn job-ready skills that meet AWS industry standards through videos, quizzes, real-world demos, and practice projects, putting you on track for cloud certifications and in-demand data engineering roles. Whether you're new to IT or a seasoned pro, this course will give you the skills, confidence, and useful resources you need to do well in the quickly growing field of cloud data engineering. Learn more than just data engineering. Enroll now! Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.
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8 hours 5 minutes
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In today’s digital economy, data shouldn’t stand still — neither should you. This course, Real-Time Data Pipelines & Analytics on AWS, provides you with the necessary skills to process streaming data and make it business-ready. Taught with a focus on actual use cases, you get hands-on practice with AWS’s most popular tools, including Amazon Redshift, Kinesis, Glue, Athena, EMR, QuickSight, OpenSearch, and more. Whether you are new to cloud data engineering or have experience and want to learn the latest, this course offers a curated curriculum featuring practical demos, guided videos, and examples. You’ll discover ways to increase the performance of your Redshift cluster, secure Kinesis streams, and integrate Spark with various AWS services. You’ll also be able to design analytics pipelines that provide real-time results. By the time you are finished with this course, you will be able to build production-ready data pipelines that shine in today’s high-demand tech industry. Enroll now and begin your path towards the data engineer that every company is looking for. Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.