Data Engineering on AWS - The Complete Training

About this course

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. This specialization prepares you to become an AWS data engineer by teaching you to build data pipelines, process large datasets, and manage workflows using key AWS services. You’ll start with core data engineering concepts, then dive into AWS Glue for ETL and Amazon Redshift for data warehousing. Learn streaming with Kinesis and MSK, big data processing on EMR, and scalable data lakes with Lake Formation. You’ll query data using Athena, visualize insights in QuickSight, and orchestrate pipelines with Step Functions and AppFlow. Migration tools like DMS, DataSync, and Snow Family are also covered. Designed for data professionals and cloud engineers with basic AWS and data knowledge, this hands-on program is ideal for intermediate learners. By the end of the specialization, you will be able to design, build, and optimize scalable data pipelines, implement real-time analytics, manage large-scale data migrations, and deploy end-to-end data engineering workflows on AWS.