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Amazon Rekognition Development: A Complete Guide

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Amazon Rekognition Development: A Complete Guide, available at $59.99, has an average rating of 4.35, with 44 lectures, based on 207 reviews, and has 1385 subscribers.

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You will learn about 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 This course is ideal for individuals who are Developers interested in learning how to develop Image Recognition based applications with the Amazon Rekognition Service or Architects, Tech Leads willing to explore Image Recognition AI capabilities from AWS or 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 It is particularly useful for Developers interested in learning how to develop Image Recognition based applications with the Amazon Rekognition Service or Architects, Tech Leads willing to explore Image Recognition AI capabilities from AWS or 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.

Enroll now: Amazon Rekognition Development: A Complete Guide

Summary

Title: Amazon Rekognition Development: A Complete Guide

Price: $59.99

Average Rating: 4.35

Number of Lectures: 44

Number of Published Lectures: 44

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 44

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • 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

Target Audiences

  • 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

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:

  1. Deliver Dynamic Targeted Advertisement Content

  2. Intelligent Family Photo Search App 

  3. Face Based Authentication and Verification System

  4. Travel Photo Smart Search App

  5. Enhance the Travel Photo Smart Search App with Image Moderation

  6. Celebrity Recognizer

In the process, you will also interact with and learn to use the following AWS services

  1. S3

  2. Lambda Function

  3. API Gateway

  4. DynamoDB

  5. ElasticSearch

  6. Cognito

  7. SNS

  8. CloudWatch

  9. 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.

Course Curriculum

Chapter 1: Introduction to the Course

Lecture 1: Welcome

Lecture 2: Introduction and Demo

Lecture 3: Getting Setup – What you will need

Lecture 4: Getting Started

Lecture 5: UPDATE – ImageMagick no longer part of Lambda runtime. How to fix errors in code

Chapter 2: First Project – Deliver Dynamic Targeted Advertisement Content

Lecture 1: Introduction to the DetectFaces API

Lecture 2: Introduction to the Project

Lecture 3: Create S3 Buckets and Secure it

Lecture 4: Setup DynamoDB Table

Lecture 5: Create a Lambda Function named "fetchad" with Node.js

Lecture 6: Setup the "fetchad" Lambda Function and Test it

Lecture 7: Expose an API named "advertisement" with the Amazon API Gateway

Lecture 8: Create a Web client with HTML, JavaScript, Setup Cognito & Test

Chapter 3: Second Project – Intelligent Friends & Family Photo Search App

Lecture 1: Introduction to Face Recognition APIs and the Project

Lecture 2: Create a S3 Bucket

Lecture 3: Create a Lambda Function "indexface" for Face Indexing

Lecture 4: Create a HTML Web Client and Test it

Lecture 5: Create another S3 Bucket

Lecture 6: Create another Lambda Function "searchfaces" for searching "ALL" faces

Lecture 7: Setup the "searchfaces" Lambda Function and Test it

Lecture 8: Expose a "picturealbum" API with Amazon API Gateway

Lecture 9: Enhance the Web Client to Allow Searches

Lecture 10: Use the Enhanced Web Client to perform Searches

Chapter 4: Third Project – Face Based Authentication and Verification System

Lecture 1: Introduction to the CompareFaces API and the Project

Lecture 2: Create S3 bucket

Lecture 3: Create a "verifyface" Lambda Function

Lecture 4: Create an IAM role

Lecture 5: Setup the "verifyface" Lambda Function and Test it

Lecture 6: Setup Cognito Identity Pool, Create Web Client and Test it

Chapter 5: Fourth Project – Travel Photo Smart Search App

Lecture 1: Introduction to the DetectLabels API and the Project

Lecture 2: Create Amazon ElasticSearch Domain

Lecture 3: Create S3 bucket

Lecture 4: Create the "indexlabels" Lambda Function

Lecture 5: Setup the "indexlabels" Lambda Function and Test it

Lecture 6: Create the "searchlabels" Lambda Function

Lecture 7: Setup the "searchlabels" Lambda Function and Test it

Lecture 8: Expose a "travel" API with Amazon API Gateway

Lecture 9: Create a Web Client to perform Searches

Lecture 10: Perform smart Searches using the Web Client

Chapter 6: Fifth Project – Add Image Moderation to Travel Photo Smart Search App

Lecture 1: Introduction to the DetectModerationLabels API and the Project

Lecture 2: Setup Cognito Identity Pool, Create Web Client and Test it

Chapter 7: Sixth Project – Celebrity Recognizer

Lecture 1: Introduction to the RecognizeCelebrities API and the Project

Lecture 2: Create Web Client and Test it

Chapter 8: Check out my other exciting courses

Lecture 1: Check out my other exciting courses!

Instructors

  • Dhiman Halder
    Dhiman Halder
    Solutions Architect | 5x AWS Certified | CKA | CKAD | CKS

Rating Distribution

  • 1 stars: 3 votes
  • 2 stars: 7 votes
  • 3 stars: 29 votes
  • 4 stars: 51 votes
  • 5 stars: 117 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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