Data Engineering Foundations on AWS

Overview

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.

Syllabus

Core Data Concepts & Modeling

Gain a solid foundation in data engineering by exploring data types, warehouses, lakes, meshes, ETL pipelines, real-world data sources, modeling, lineage, sampling, skew handling, and data quality practices.

SQL & Storage Fundamentals

Build practical skills in SQL queries, joins, regex, and Git while mastering AWS storage services like S3, EBS, EFS, lifecycle rules, encryption, replication, and backup for real-world data management.