Build Serverless Automation with AWS Lambda

Overview

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.

Syllabus

Building the Core API Logic

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.

Serverless Integration & Data Flow

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.