Tensorflow on Googles Cloud Platform for Data Engineers faq

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4.1
learnersLearners: 578
instructor Instructor: Mike West instructor-icon
duration Duration: duration-icon

Unlock the potential of TensorFlow on Google's Cloud Platform for Data Engineers! Learn how to leverage this powerful tool for efficient data processing and machine learning at scale. #GoogleCloud #TensorFlow #DataEngineering

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2017-08-29

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 31st, 2023]

What does this course tell?
(Please note that the following overview content is from Alison)
This course is designed to help you attain the Google Certified Data Engineer certification. It focuses on TensorFlow on the Google Cloud Platform and is not a course on developing machine learning models. You will learn the fundamentals of TensorFlow, basic math operations, image transformations, and more. Five reasons to take this course include: 1) You want to be a Data Engineer; 2) Google Certified Data Engineer; 3) Insane growth of data; 4) TensorFlow in plain English; 5) Be ahead of the curve. Join us to learn the fundamentals of TensorFlow and become a Google Certified Data Engineer!

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
By taking this course, learners will acquire the skills and knowledge necessary to become a Google Certified Data Engineer. They will learn the fundamentals of TensorFlow, including the concept of a tensor, basic math operations, image transformations, constants, variables, placeholders, sessions, and the computation graph. Additionally, they will gain an understanding of the growth of data, the role of the data engineer, and the importance of being ahead of the curve in the data engineering field.
lHow does this course contribute to professional growth?
This course provides data engineers with the knowledge and skills necessary to become a Google Certified Data Engineer. It covers the fundamentals of TensorFlow on the Google Cloud Platform, including basic math operations, image transformations, and the anatomy of a simple program. Additionally, the course provides an in-depth look at the growth of data and the role of the data engineer on the Google Cloud Platform. By taking this course, data engineers will gain the skills and knowledge needed to stay ahead of the curve and be the first to be certified, hired, and receive the top compensation package.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It provides learners with the foundations of TensorFlow on Google's Cloud Platform, which is essential for the Google Certified Data Engineer exam. Additionally, the course covers topics such as constants, variables, placeholders, sessions, and the computation graph, which are all important for data engineers. Furthermore, the course provides learners with the opportunity to be ahead of the curve in the data engineering field.

Course Syllabus

Welcome to TensorFlow

Up and Running in Cloud Datalab

TensorFlow Basics

TensorFlow Demos

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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faq FAQ for Tensorflow Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 578 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Tensorflow courses and certifications, our extensive collection at azclass.net will help you.

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