Serverless Machine Learning with Tensorflow on Google Cloud Platform faq

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Elevate your skills in Serverless Machine Learning with TensorFlow on Google Cloud Platform! Explore the seamless integration of AI and cloud computing for powerful machine learning applications. #ServerlessML #GoogleCloud #TensorFlow #AIInstitute

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

Course Feature

costCost:

Paid

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

27th Jan, 2020

Course Overview

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

Updated in [August 31st, 2023]

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?
Participants of this course will acquire skills and knowledge in designing and building machine learning models on Google Cloud Platform. They will learn concepts of machine learning (ML) and TensorFlow, and develop hands-on skills in developing, evaluating, and productionizing ML models. Participants should have completed Google Cloud Fundamentals- Big Data and Machine Learning course or have equivalent experience, basic proficiency with common query language such as SQL, experience with data modeling extract transform load activities, developing applications using a common programming language such Python, and familiarity with Machine Learning and/or statistics.
lHow does this course contribute to professional growth?
This course provides professionals with the opportunity to gain hands-on experience in designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants will learn machine learning (ML) and TensorFlow concepts and develop the skills necessary to develop, evaluate, and productionize ML models. This course will help professionals gain the knowledge and skills necessary to identify use cases for machine learning, build an ML model using TensorFlow, build scalable deployable ML models using Cloud ML, understand the importance of preprocessing and combining features, incorporate advanced ML concepts into their models, and productionize trained ML models.

Is this course suitable for preparing further education?
It is suggested that participants of this course have completed the Google Cloud Fundamentals- Big Data and Machine Learning course or have equivalent experience, basic proficiency with common query language such as SQL, experience with data modeling extract transform load activities, developing applications using a common programming language such Python, and familiarity with Machine Learning and/or statistics. Therefore, this course is suitable for preparing further education.

Course Provider

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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 0 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 Coursera'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."
Coursera 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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