End-to-End Machine Learning with TensorFlow on GCP

This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where "Machine Learning on GCP" left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended

( 134 Reviews )

Created by: Google Cloud Training

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Overall Score : 88 / 100

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Course Description

In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp).One of the best ways to review something is to work with the concepts and technologies that you have learned.So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud PlatformPrerequisites:Basic SQL, familiarity with Python and TensorFlow>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<

Time: 11h

Instructor Details

Google Cloud Training

4.4 Rating
134 Reviews

The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way. Google Cloud helps millions of organizations empower their employees, serve their customers, and build what's next for their businesses with innovative technology created in-and for-the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

Reviews

4.4

134 total reviews

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By Kevin M on 6-Dec-18

Not enough hands-on labs. Mostly just videos and running existing python code. Had to write only a tiny amount of code. I won't remember any of the code, I'll just remember ctrl-enter on all of the pre-written python.... could definitely use some improvement.

By Panit A on 27-Apr-19

Would be nicer if students can use the google cloud with less restrictions. I got blocked multiple times from trying the codes in the videos..Overall, the materials are great and very interesting!

By Carlos V on 7-Oct-18

One of my favourites Courses from Google, it provides an excellent overview of the End to End Machine LEarning process, and how to use GCP to speed up your workflow, highly recommended to anyone looking to expand their understanding of Real World application of ML

By Serhan A on 3-Mar-19

Definitely adds a unique perspective on thinking about machine learning systems at scale. This course is suitable for Data Scientists, Data Engineers and Machine Learning Engineers.

By Harsh S on 9-Jun-19

Objective of course is great. But, a lot can be improved in terms of clarity on how to execute this course. It is not clearly mentioned whether we need to just execute provided notebooks or write code from scratch. Moreover, how to copy these notebooks from Google cloud repo on github is not mentioned anywhere.

By Maxim on 5-Jul-19

This specialization consists of 5 courses:Course1: End-to-End Machine Learning with TensorFlow on GCPCourse2: Production Machine Learning SystemsCourse3: Image Understanding with TensorFlow on GCPCourse4: Sequence Models for Time Series and Natural Language ProcessingCourse5: Recommendation Systems with TensorFlow on GCPIn specialization's FAQ say nothing about "audit" option. Do You know what is it ? "Audit" means that You can use course video material even after You subscriptions ended. By fact, only "Course 1" has such ability. Before pay for specialization, carefully check FAQ for EACH separated course in specialization:courses 2-5 has special point:"Why cant I audit this course? This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.""Who have paid" means that after You subscriptions ended, you lost access to video materials in this courses.p.s. 1 star only for "Audit", content and lecturers are rated higher - at least 4 stars

By Elias P on 26-Nov-18

The course is really Great! It takes you so smoothly from the beggining to the end. I didn't have to watch something for a second time. Everything is well explained!

By Miroslav K on 15-Dec-18

Excellent up to date content, instructors, examples and labs - #1 in the field!

By Javed S on 28-Nov-18

This course contains many helpful hands-on labs. The course instructors are very knowledgeable. I would recommend this course to anyone who is interested in learning about production machine learning pipeline using TensorFlow.

By SAIPRIYADARSHAN C on 27-Nov-18