xREL.v3

.:PROUDLY PRESENTS:.
Cloud Academy Introduction to Amazon Rekognition
Release Date.: 04-09-2019
Type.: Bookware
Disks.: 21x50mb
Link.: https://cloudacademy.com

Release Notes

Overview
In this course you'll learn about Amazon Rekognition, a
service that enables you to easily and quickly integrate
computer vision features directly into your own
applications. At its core, Amazon Rekognition provides an
API that you submit images and/or videos to. You then
instruct the Rekognition service to perform a specific
analysis on the media. The analysis can be anything from
detecting faces within an image to extracting labels from a
video in an asynchronous manner.
Lectures
We'll provide in-depth reviews of the image, video, and
collection based API sets. Amazon Rekognition makes it easy
to add image and video analysis to your applications. You
simply submit your image or video to the Rekognition
service, and the service will then identify objects,
people, text, scenes, emotions, and activities.
Additionally the service can be used to moderate content,
by detecting inappropriate or objectionable content.
Demonstrations
We finish the course with a couple of demonstrations:
In the 1st demonstration we will show you how to use Amazon
Rekognition together with S3 and CloudFront for hosting, to
build a simple facial analysis static web application.
In the 2nd demonstration we will show you how to use the
AWSCLI to implement an object and feature detection system
that sends an email when certain features are detected
within an image.
Both demonstrations will highlight the capabilities of the
Amazon Rekognition and the different approaches you can
adopt to interface with the service.
Intended Audience
The intended audience for this course includes:
Data scientists interested in mining information from
images and/or video
Machine Learning enthusiasts with an interest in computer vision
Developers interested in learning how to integrate image
and video analysis into their own applications
Anyone interested in learning how Amazon Rekognition works

Learning Objectives
By completing this course, you will:
Understand what Amazon Rekognition is and what it offers
Understand the benefits of using the Amazon Rekognition service
Understand how to use Amazon Rekognition APIs to process
both images and videos
Understand how to use Collections and the storage based API set
Understand business use cases and scenarios that can
benefit from using the Amazon Rekognition service
Be able to architect and integrate Amazon Rekognition into
your own applications

Pre-requisites
The following prerequisites will be both useful and helpful
for this course:
General development and coding experience
AWS S3 and IAM security experience (for the demonstrations)
Course Agenda
The agenda for the remainder of this course is as follows:
We'll discuss what Amazon Rekognition is and when and why
you might consider using it
We'll review the Amazon Rekognition service and provide an
in-depth review of each of its features
We'll discuss benefits and business use cases that can be
empowered by leveraging Amazon Rekognition
We'll provide some example business use cases and scenarios
that utilise the Rekognition service
Finally - We'll present 2 demonstrations that highlight how
to integrate with the Rekognition service

Feedback
If you have thoughts or suggestions for this course, please
contact Cloud Academy atsupport*cloudacademy*com.

Greetings fly out to:

Kodemusen, KoseBamsen

STM is back.
For all the ppl we worked with
in the past. We salute you.

NFO by NiMiTech
Updated: 09/09/2002