Learners will understand, implement, and evaluate a real-world serverless automation workflow using AWS Lambda, API Gateway, and Amazon S3. By the end of this course, learners will be able to design API-driven backend solutions, implement GET and PUT operations using Python, and automate data processing in a scalable cloud environment.

Build Serverless Automation with AWS Lambda
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Recommended experience
What you'll learn
Design and implement serverless workflows using AWS Lambda, API Gateway, and Amazon S3.
Build API-driven backend solutions with GET and PUT operations using Python.
Analyze, automate, and optimize real-world serverless data processing in AWS environments.
Skills you'll gain
Details to know

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January 2026
6 assignments
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There are 2 modules in this course
This module introduces the DevOps case study and focuses on building the foundational backend logic using Python and AWS Lambda. Learners explore the project architecture, understand serverless concepts, and implement GET-based functionality to retrieve data through API-driven workflows.
What's included
4 videos3 assignments
This module focuses on integrating AWS services to enable end-to-end automation. Learners configure API Gateway for GET and PUT operations, implement Lambda functions for data processing, and store data in Amazon S3 while understanding the complete serverless data flow.
What's included
5 videos3 assignments
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