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.
68/100
CourseAsk score
- What the provider tells you
- 32/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- design and build scalable data pipelines
- implement real-time analytics
- manage large-scale data migrations
- deploy end-to-end data engineering workflows on AWS
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Udemy
Coursera
Compared on these lists
Where this course ranks against the alternatives.