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Amazon Rekognition Development: A Complete Guide
1,430 students
What you'll learn
- Master the 6 core capabilities offered by Amazon Rekognition
- Develop 6 complete end-to-end working solutions each featuring a different capability of Amazon Rekognition
- Learn how to introduce Image Recognition capabilities within your own applications
- Learn how to make Amazon Rekognition work in tandem with host of other AWS services like S3, Lambda, API Gateway, DynamoDB, ElasticSearch, SNS, Cognito, CloudWatch and IAM
Explore related topics
Course content
8 sections • 44 lectures • 2h 18m total length
Requirements
- Basic understanding of Amazon Web Services - some prior experience with S3 and Lambda Function really helps
- Preliminary knowledge of NodeJS and HTML - a bit of coding experience doesn't hurt
- A Windows, Mac or Linux Computer with a modern Browser, Node v6.10+ and a Code Editor Installed
- I recommend that you follow the course from beginning to the end in the order it is laid out since some of the later projects build upon earlier ones
Description
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 and Image recognition capabilities to your 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 solutions with 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.
Who this course is for:
- Developers interested in learning how to develop Image Recognition based applications with the Amazon Rekognition Service
- Architects, Tech Leads willing to explore Image Recognition AI capabilities from AWS
- Architects, Tech Leads, Developers willing to learn how to envisage complete end-to-end solutions with Amazon Rekognition and host of other allied AWS services