Become a professional AWS Data Engineer by mastering the most important AWS data engineering services used by companies worldwide. This course is designed to help you build real-world data pipelines, data lakes, ETL workflows, streaming pipelines, and analytics solutions using AWS. If you want to become an AWS Data Engineer, Cloud Data Engineer, Big Data Engineer, or prepare for AWS Data Analytics and AWS Data Engineer roles, this course will give you practical hands-on experience with the most important AWS services.
You will learn how to design and build end-to-end data engineering pipelines using AWS services like S3, Glue, Lambda, Kinesis, Redshift, Athena, EMR, SNS, CloudWatch and more. This course focuses heavily on real-world projects and hands-on labs, so you will gain the practical skills needed to work as an AWS Data Engineer in production environments.
