Amazon Rekognition is a sophisticated deep learning based service from Amazon Web Services (AWS) that makes it easy to add powerful visual search and discovery to your own applications. With Rekognition using simple APIs, you can quickly detect objects, scenes, faces, celebrities and inappropriate content within images. You can also search, analyze, organize and compare faces.
"I love how you structured the course (demo and code) and most importantly you showed how to use the technology. Most of the course that I've seen and taken lack the latter part." - Sovanna Chuon, Student
"It is exactly what I was looking for: a quick and clear introduction to AWS Rekognition." - Miguel Cabral, Student
"Buen curso, ritmo adecuado y entendible, tal vez falta entrar más en detalle en el código pero en general muy recomendable." - Eduardo Vargas Aguirre, Student
Are you a Developer looking to incorporate visual search andImage recognition capabilities toyour own Applications using the recently launched Amazon Rekognition service from AWS? Are you an Architect or Tech Lead willing to explore reference Architectures and implementations on how Amazon Rekognition fits in with other AWS service offerings to solve Real-world problems? Either way, you are in the right place.
This course emphasize on learning by doing. You will be developing 6 complete end-to-end solutionswith different capabilities of Amazon Rekognition. You will be developing the following projects:
Deliver Dynamic Targeted Advertisement Content
Intelligent Family Photo Search App
Face Based Authentication and Verification System
Travel Photo Smart Search App
Enhance the Travel Photo Smart Search App with Image Moderation
Celebrity Recognizer
In the process, you will also interact with and learn to use the following AWS services
S3
Lambda Function
API Gateway
DynamoDB
ElasticSearch
Cognito
SNS
CloudWatch
Identity and Access Management
***Important Update - ImageMagick Fix***
September 15, 2019
ImageMagick is no longer bundled with the Node.js 10.x runtime in Lambda due to security reasons. I have included a lecture with all the instructions to install and use a lambda layer to address this issue.
