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.



Data Engineering Foundations on AWS
This course is part of AWS Certified Data Engineer Associate Specialization

Instructor: LearnKartS
Access provided by Ladoke Akintola University of Technology
Recommended experience
What you'll learn
Master different data types including structured, semi-structured, and unstructured
Become proficient in SQL by using joins, regex, and performing aggregations
Use AWS storage services such as S3, EBS, EFS, versioning, replication, and backups
Build and manage ETL pipelines to efficiently process data and create workflows
Skills you'll gain
Details to know

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8 assignments
September 2025
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- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 2 modules in this course
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.
What's included
9 videos3 readings4 assignments
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.
What's included
14 videos4 readings4 assignments
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