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.
应用的学习项目
Throughout this specialization, you’ll gain hands-on experience through 20+ real-world AWS demos that reflect how data engineers work in production. You’ll create and manage S3 buckets, DynamoDB with DAX, RDS databases, EC2 instances, ECS containers, and EKS clusters. You’ll explore analytics and streaming using Redshift, Athena with Glue, Kinesis Data Streams, SQS with Dead Letter Queues, and SNS.
You’ll also build strong cloud foundations by creating IAM users, groups, policies, enabling MFA, designing custom VPCs and VPC peering, automating infrastructure with CloudFormation, monitoring with CloudWatch alarms, working with API Gateway, managing costs using AWS Budgets, and getting started with Amazon SageMaker.
Finally, you will be confident enough to design, deploy, secure, & monitor AWS data engineering production-ready solutions.
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.
