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.

This course benefits learners by providing hands-on exposure to a practical DevOps case study rather than isolated service tutorials. Learners gain clarity on how AWS services interact in real production-like scenarios, strengthening their ability to build, troubleshoot, and optimize serverless architectures. The step-by-step progression—from project foundations to end-to-end automation—ensures learners develop both conceptual understanding and applied skills. What makes this course unique is its case-study-driven approach, focusing on real automation challenges commonly encountered in DevOps and cloud roles. Instead of abstract examples, learners work through a complete serverless workflow that mirrors industry use cases, making the course highly relevant for aspiring DevOps engineers, cloud practitioners, and backend developers seeking job-ready AWS skills.