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AWS Rekognition: Machine Learning Using Python Masterclass

Created by Syed Raza, Last Updated 02-Jan-2020, Language:English

AWS Rekognition: Machine Learning Using Python Masterclass

Use Python programming to extract text and labels from images using Pycharm, Boto3, and AWS Rekognition Machine Learning

Created by Syed Raza, Last Updated 02-Jan-2020, Language:English

What Will I Get ?

  • Successfully use Python to extract text from images and labels
  • Fundamentals of AWS Machine Learning
  • Gain solid understanding of AWS Rekognition
  • Python intro and advanced programming - all in one
  • PyCharm installation and configuration
  • Using Boto3: Coding in Python to detect objects, faces, and text from images
  • Work with AWS S3 and learn how to write Python code
  • Successfully use SSH to connect to AWS EC2 instance


  • Basic knowledge of programming concepts desireable
  • Valid AWS account requires a credit card
  • AWS will bill you for using Machine Leanring resources such as AWS Rekognition. It is not free, and you are solely responsible for all AWS billing
  • Knowledge of cloud computing concepts is desireable


In the world of Artificial Intelligence and Machine Learning with Cloud Computing and Big Data - Learn AWS Rekognition: Machine Learning Using Python Masterclass step-by-step, complete hands-on - Bringing you the latest technologies with up-to-date knowledge.

Are you new to AWS Rekognition and machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS cetifications? Look no further - learn the Use Python programming to extract text and labels from images using PyCharm, Boto3, and AWS Rekognition Machine Learning.

Gain Solid understanding and application of AWS Rekognition machine learning along with full Python programming introduction and advanced hands-on instruction.

Welcome to AWS Rekognition: Machine Learning Using Python Masterclass - A one of its kind course!

It is not only a comprehensive course, you are will not find a course similar to this. The flipped classroom model with hand-on learning will help you experience direct  into the course as your begin your learning journey.

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

Who this course is for:

  • Beginners who are curios about AWS Rekognition
  • Anyone who wants to learn AWS Machine Learning
  • Entry level programmers who which to gain solid understanding of using Python for AWS Rekognition

Course Content

Syed Raza

Hello, my name is Syed Raza, CEO of ClayDesk E-Learning and I am passionate about teaching valuable skills to students who are motivated to learn! My goal is to help you easily achieve your goals and objectives, whether that means enhancing your existing skill set, gain productivity at workplace, differentiate yourself, learning the new technological skills that are required to improve your career.

Over the last 20 years, I have acquired valuable skill sand experience that allow me to provide you with great learning experience. I have numerous technical IT and developer certifications (MCSE+I, MCT, CCNA—including a PhD Management—which enable me to teach a variety of powerful courses, from IT to Project Management.

Providing technical and training solutions using AWS, Azure, Google Cloud, Red Hat OpenShift, Python, Java, JavaScript, React JS, GCP, Kubernetes, Jenkins, Ansible, and Docker

DevOps Engineer building AWS pipelines using CodeStar and CodeCommitt

Working knowledge of TensorFlow, Pytorch, Keras, Convolutional networks, and data science concepts

Of course, as my student, you are my #1 priority. All of my courses are designed to cater to ensure wide variety of audience. For example, if something remains unclear to you, or you need help understanding anything within my course, just send me a message and I will be happy to spend some one-on-one time with you in order to clarify and provide answers to your questions. This is to ensure you learn better and retain the knowledge. My courses will help you gain real world skills and knowledge and change your life today.

Thank you for your interest in my courses, and in me as an instructor. I look forward to seeing you in one of my lectures very soon.