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
ClayDesk
Summary
- Reed Courses Certificate of Completion - Free
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Overview
The AWS Rekognition: Machine Learning Using Python Masterclass course is an in-depth training program designed to help individuals gain a comprehensive understanding of Amazon Web Services (AWS) Rekognition and its applications in machine learning. This course is tailored for those with a basic understanding of Python programming and machine learning concepts who wish to delve into the world of computer vision and image analysis.
Throughout the masterclass, participants will learn how to leverage the power of AWS Rekognition to build robust and scalable machine learning models. The course covers a wide range of topics, including image and video analysis, facial recognition, object detection, and text extraction. Participants will also explore various real-world use cases and learn how to integrate AWS Rekognition into their own projects.
The course takes a hands-on approach, with practical exercises and coding examples using Python. Participants will have the opportunity to work on real datasets and apply the concepts learned in the course to solve complex image analysis problems. By the end of the masterclass, participants will have a solid foundation in AWS Rekognition and the skills to develop and deploy their own machine learning models using this powerful service.
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Description
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.
[Latest Update] Note: Python 3.5.1 has been superseded by Python 3.5.6. Added new lectures
Are you new to AWS Rekognition and machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS certifications?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.
Course Description
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.
In this course, you'll learn and practice:
Successfully use Python to extract labels from images
Extract text from images using Python
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, and much more....
In this course with over 18+ hours of hands-on instruction, you will also get complete resources, and code where applicable with this course! We've built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything!
So, if you would like to:
prepare for the AWS certification exam, this course is for you
gain marketable skills as an IT expert and professional, this course is for you
This course is not designed for intermediate or advanced level students
This AWS Rekognition: Machine Learning Using Python Masterclass is exactly what you need, and more. You’ll even get a certification of completion
What out students say.
See what our students say “It is such a comprehensive course that I don’t need to take any other course but this one to learn all of Python intro and advanced concepts and then use Python code to work with AWS Rekognition - Absolutely worth it” - Vikram Sharma
“This is such an awesome course. I loved every bit of it – Wonderful learning experience!” Nancy Morgan.
Join thousands of other students and share valuable experience
Why take this course?
As a senior Project Manager & Web developer, managing and deploying enterprise level IT projects, along with a Microsoft Certified Systems Engineer & Trainer, my experience with AWS Rekognition, Python using PyCharm has been phenomenally great! I am excited to share my knowledge and transfer skills to my students.
Enroll now in AWS Rekognition: Machine Learning Using Python Masterclass today and revolutionize your learning. Stay at the cutting edge of enterprise cloud computing — and enjoy bigger, brighter opportunities.
See you in class
Syed & Team ClayDesk
Who is this course 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
Requirements
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
Questions and answers
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Certificates
Reed Courses Certificate of Completion
Digital certificate - Included
Will be downloadable when all lectures have been completed.
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.