Data Engineering on AWS - Foundations

Amazon Web Services introduces the cloud foundations that support data-engineering work. The course connects infrastructure concerns with scaling, optimization and access. It is an orientation option for understanding the environment around a pipeline before concentrating on a specific processing tool.

What you will learn

• Explain cloud foundations for data engineering.
• Discuss scaling and monitoring considerations.
• Identify authentication and networking needs.

Who this suits

Learners exploring data engineering on AWS; preview the cloud concepts and provider preparation details before enrolling.

Before you enroll

Check the software versions, cloud-account requirements and lab access terms before enrolling. Running cloud resources can incur separate charges. Use fictional or public sample data, and evaluate reliability, permissions and data quality alongside whether a pipeline runs.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Draw a fictional pipeline architecture and identify its processing, storage, monitoring and access-control boundaries.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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