Build & Deploy Serverless Apps on AWS: Design and Secure

Overview

Learners will analyze images, detect objects and faces, extract text, evaluate unsafe content, and automate workflows using AWS Rekognition and Lambda. This hands-on course equips participants with the essential skills to build intelligent, cloud-native image and video analysis solutions. Throughout this project-driven journey, learners gain practical experience with object and label detection, image moderation, facial landmarks, celebrity recognition, face comparison, and text extraction. They also learn how to design serverless pipelines that integrate Rekognition with AWS Lambda and SNS to trigger automated processing. By completing the course, learners will be able to confidently apply deep-learning powered visual intelligence features within real-world applications—without managing complex infrastructure. What makes this course unique is its end-to-end, scenario-based approach that mirrors real industry use cases. Instead of abstract theory, learners work directly with live AWS services, exploring how Rekognition functions inside production-ready serverless environments. Whether for content moderation, security automation, metadata extraction, or intelligent media workflows, this course provides the practical foundation needed to implement AI-driven solutions at scale.

Syllabus

Foundations of Serverless Architecture

This module introduces learners to the core building blocks of a serverless web application, covering AWS Lambda, Amazon DynamoDB, and the fundamentals of microservices architecture. Through conceptual explanations and practical demonstrations, learners gain a strong foundation in event-driven design, cloud-native patterns, and serverless components essential for building modern, scalable applications.

Building and Securing the Serverless Web Application

This module guides learners through the practical implementation of a serverless web application, including hosting the frontend on Amazon S3, enabling user authentication with Amazon Cognito, building backend functions with AWS Lambda and DynamoDB, and securing REST APIs using Amazon API Gateway. By the end of the module, learners will understand how to assemble, secure, and deploy a fully functional serverless application on AWS.