Tensorflow on Googles Cloud Platform for Data Engineers
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
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start 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
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