Production Machine Learning Systems

Name: Production Machine Learning Systems
Availability: InStock
Rating: 4.3 (111 reviews)

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

( 111 Reviews )

Created by: Google Cloud Training

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Overall Score : 86 / 100

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Course Description

In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlowCOMPLETION CHALLENGEComplete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details.

Time: 8h

Instructor Details

Google Cloud Training

4.3 Rating
111 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

4.3

111 total reviews

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By Sinan G on 27-Oct-18

A lot of great production examples, labs and reviews but perhaps too many issues for a single course - however I understand that it was perhaps to provide an overview of the possibilities, a kind of "toolbox" for production ML.

By Artur K on 7-Dec-18

It is very good course, gives good overview over large ML systems on cloud, a lot of examples from real implementations gives good understunding about problematics in projects realisations

By Armando F on 7-May-19

I did not realize the many aspects to consider implementing a Production ML system. This course presents all of them and provides guidance for evaluating alternative

By bhadresh s on 23-Jan-19

It was bit hard course but lab work was great and learn many production level consideration for ml systems.

By Mark D on 15-Jan-19

Very practical which was nice. Thank you for adding the Quicklabs that helped a lot.

By Cristobal S on 29-Oct-18

While most of the content is sufficiently informative for a course, the implementation itself has too many issues: wrong videos in some modules, errors in quizzes, and so on. Once they organize the material properly, this course can definitely be 5 stars.

By Jakub B on 26-Jun-19

Subscribing to this course only gives you option to run assignments on Qwik labs, and they're very poor for these kinds of assignments. You won't get any feedback on assignments anyway since there is no grader.If you want to check out the material it's better to just clone training-data-analyst from github and do these assignments on GCP free tier.

By Raja R G on 8-Dec-18