Data Engineering Foundations on AWS
Key Takeaways
Builds data engineering foundations on AWS using cloud pipelines, data models, and storage systems
Original Description
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.
Watch on External: Coursera ↗
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