Working With Amazon Rekognition for Video and Image Analysis

This lesson looks at Amazon Rekognition, a service that uses generative AI to analyze images and videos enabling developers to add advanced visual analysis capabilities to their applications.

Learning Objectives

• Understand Amazon Rekognition and its capabilities

• Identify key features and use cases of Rekognition

• Work with Rekognition APIs

• Use Rekognition through the AWS Management Console, CLI, and SDKs

• Implement best practices for Rekognition in your applications

• Build a practical, serverless image analysis solution with Rekognition

Intended Audience

This lesson is designed for software developers, data scientists, and IT professionals looking to implement advanced image and video analysis capabilities in their applications using Amazon Rekognition.

Prerequisites

To get the most out of this lesson, you should already have some basic working knowledge of building cloud solutions on the AWS platform. Familiarity with Python programming and AWS services like Lambda, S3, and DynamoDB will be beneficial.

GitHub

The Python scripts for the demonstration of building a serverless image analysis solution are available in the following GitHub repository:

https://github.com/cloudacademy/serverless-image-analysis-amazon-rekognition-comprehend