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Learn Rekognition 2024 – Best Rekognition Courses & Best Rekognition Books

Best Amazon Rekognition Courses 2021


Best Amazon Rekognition Tutorials 2021

AWS Rekognition: Machine Learning Using Python Masterclass

Recognition: Machine Learning Using Python Masterclass Step by Step, Full Practice – Bringing you the latest technology with up to date knowledge.

Are you new to AWS Rekognition and Machine Learning? Are you looking to improve your skills within the AWS ecosystem or perhaps pursue AWS certifications? Look no further – learn programming Use Python to extract text and labels from images using PyCharm, Boto3, and AWS Rekognition Machine Learning.

Gain a solid understanding and application of AWS Rekognition machine learning, along with a comprehensive introduction to Python programming and advanced how-to instructions.

This is not just a full course, you won’t find a course similar to this one. The flipped classroom model with hands-on learning will help you live directly in the course at the start of your learning journey.

Note: AWS Machine Learning is not free. Please note that you may incur additional charges from AWS.

In this course you will learn and practice:

Successfully use Python to extract labels from images
Extract text from images using Python
AWS Machine Learning Basics
Gain a solid understanding of AWS Rekognition
Introduction to Python and Advanced Programming – All in One
Installation and configuration of PyCharm

Using Boto3: Coding in Python to Detect Objects, Faces and Text from Images, and Much More …

In this course with over 18 hours of hands-on instruction, you will also get full resources and code where applicable with this course! We’ve built this course with our ClayDesk team of industry-recognized developers and consultants to bring you the best of everything!

So if you want to:

– prepare for the AWS certification exam, this course is for you
– acquire marketable skills as an IT expert and professional, this course is for you
– This course is not designed for intermediate or advanced level students

You will learn

Successfully use Python to extract text from images and labels
AWS Machine Learning Basics
Gain a solid understanding of AWS Rekognition
Introduction to Python and Advanced Programming – All in One
Installation and configuration of PyCharm
Using Boto3: Coding in Python to Detect Objects, Faces, and Text from Images
Work with AWS S3 and Learn to Write Python Code
Successfully Use SSH to Connect to the AWS EC2 Instance

This is the best Rekognition course in 2021.

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 in images. You can also search, analyze, organize, and compare faces.

Are you a developer who wants to integrate visual search and image recognition capabilities into your own applications using the recently launched Amazon Rekognition service from AWS? Are you an architect or technical manager ready to explore reference architectures and implementations on how Amazon Rekognition integrates with other AWS service offerings to solve real world problems? Either way, you’ve come to the right place.

This course emphasizes learning by doing. You will develop 6 complete end-to-end solutions with different capabilities of Amazon Rekognition. You will develop the following projects:

Provide dynamic targeted advertising content
Smart family photo search app
Face authentication and verification system
Smart travel photo search app
Improve Travel Photo smart search app with image moderation
Celebrity recognition

During the process, you will also interact and learn how to use the following AWS services

Lambda function
API Gateway
Identity and access management

You will learn

Master the 6 basic features offered by Amazon Rekognition
Develop 6 complete end-to-end work solutions, each with a different capability than Amazon Rekognition
Learn how to introduce image recognition features into your own applications
Learn how to make Amazon Rekognition work in tandem with the host of other AWS services such as S3, Lambda, API Gateway, DynamoDB, ElasticSearch, SNS, Cognito, CloudWatch, and IAM

Best Amazon Rekognition Books 2021


SaleBestseller No. 1
Machine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon...
  • Mishra, Abhishek (Author)
  • English (Publication Language)
  • 528 Pages - 09/11/2019 (Publication Date) - Sybex (Publisher)
SaleBestseller No. 2
Amazon Rekognition Complete Self-Assessment Guide
  • Gerardus Blokdyk (Author)
  • English (Publication Language)
  • 309 Pages - 06/27/2022 (Publication Date) - 5STARCooks (Publisher)
Bestseller No. 3
Amazon Rekognition Developer Guide
  • Hardcover Book
  • Team, Development (Author)
  • English (Publication Language)
Bestseller No. 4
Computer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout...
  • Mullennex, Lauren (Author)
  • English (Publication Language)
  • 324 Pages - 03/31/2023 (Publication Date) - Packt Publishing (Publisher)
SaleBestseller No. 5
The Book Thief
  • Paperback
  • Zusak, Markus (Author)
  • English (Publication Language)
Bestseller No. 6
The Standards Real Book, C Version
  • Used Book in Good Condition
  • Chuck Sher (Author)
  • English (Publication Language)
Bestseller No. 7
The New Real Book
  • Used Book in Good Condition
  • English (Publication Language)
  • 438 Pages - 06/24/1988 (Publication Date) - Sher Music Co. (Publisher)
Bestseller No. 8
AWS Rekognition Tutorial (#aws-ai-and-machine-learning-services)
  • Amazon Kindle Edition
  • Adamson, Christopher (Author)
  • English (Publication Language)
SaleBestseller No. 9
The Rogers Book
  • Softcover
  • 228 pages
  • Size: 11" x 8-1/2"
SaleBestseller No. 10
Serverless Architectures with AWS
  • Gupta, Mohit (Author)
  • English (Publication Language)
  • 226 Pages - 12/21/2018 (Publication Date) - Packt Publishing (Publisher)

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