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AWS Rekognition: Machine Learning Using Python Masterclass

Name: AWS Rekognition: Machine Learning Using Python Masterclass
Rating: 9.4 (33 reviews)

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

4.5

☆☆☆☆☆ 4.5/5

(33 reviews)

4,726 students

Created by

9.4

Classbaze Grade®

9.5

Freshness

8.0

Popularity

10.0

Material

Detailed Analysis »

Platform: Udemy

Price: check current price

Video: 18h 5m

Language: English

Next start: On Demand

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Classbaze Rating

Classbaze Grade®

9.4 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

9.5 / 10

This course was last updated on 11/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.0 / 10

We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

10.0 / 10

Video Score: 10.0 / 10

The course includes 18h 5m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.

The average video length is 7 hours 30 minutes of 3 AWS Rekognition courses on Udemy.

Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

9 articles.

10 resources.

0 exercise.

0 test.

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About the course

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.
[October 2021 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

What can you learn from this course?

✓ Successfully use Python to extract text from images and labels
✓ Fundamentals of AWS Machine Learning within AWS
✓ 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

What you need to start the course?

• 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

Who is this course is made 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

Are there coupons or discounts for AWS Rekognition: Machine Learning Using Python Masterclass ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.

The average price is $14.3 of 3 AWS Rekognition courses. So this course is 5% more expensive than the average AWS Rekognition course on Udemy.

Will I be refunded if I'm not satisfied with the AWS Rekognition: Machine Learning Using Python Masterclass course?

YES, AWS Rekognition: Machine Learning Using Python Masterclass has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the AWS Rekognition: Machine Learning Using Python Masterclass course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Syed Raza?

Syed Raza has created 98 courses that got 19,960 reviews which are generally positive. Syed Raza has taught 413,436 students and received a 4.2 average review out of 19,960 reviews. Depending on the information available, we think that Syed Raza is an instructor that you can trust.

Learn everything about

Syed Raza

Best Selling Instructor, Enterprise Architect, 8x AWS, PhD

“You’re big on Udemy. Top 10% most engaging instructors BIG. Which means students can’t get enough of your courses. That kind of impact means you’re the reason students start new careers, get promotions, or try something new that brightens their day. Your success is well deserved” Frank Visciano – VP, Marketplace Content, The Udemy Team
Hello, my name is Syed Raza 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 (AWS, MCSE+I, MCT, CCNA—including a PhD 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
AWS Certified Solutions Architect, 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.
Best Regards,
Syed
Mission ClayDesk- ClayDesk E-Campus is dedicated to provide superior e-learning services worldwide.

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