Amazon Rekognition Development: A Complete Guide by Dhiman Halder

Udemy course Amazon Rekognition Development: A Complete Guide by Dhiman Halder

Amazon Rekognition Development: A Complete Guide is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Development category. Therefore, if you are looking to improve your Development skills we recommend that you download Amazon Rekognition Development: A Complete Guide udemy course.

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Course data:

  • Author: Dhiman Halder
  • Course rating: 4.4
  • Category: Development
  • Modality: Online
  • Status: Available
  • Idiom: English

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Abouth Dhiman Halder

I am a Solutions Architect with 16 years of IT experience – I have worked with the AWS platform for more than 10 years. I hold 5 AWS certifications including AWS Solutions Architect Professional, AWS DevOps Professional, and all the 3 AWS associate certifications. I am also Kubernetes certified and hold both CKA and CKAD. I have a tonne of experience Architecting & Developing scalable fault-tolerant distributed systems.

Amazon Rekognition Development: A Complete Guide

What the udemy Amazon Rekognition Development: A Complete Guide course teaches?

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

Learn how to add powerful visual search & image recognition capability to your applications using AWS Amazon Rekognition

More information about the course Amazon Rekognition Development: A Complete Guide

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.

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