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Production Machine Learning Systems

Advanced Machine Learning on Google Cloud,

This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators. This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.
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Rating 4.2 based on 57 ratings
Length 4 weeks
Effort 5 - 7 hours per week
Starts Jun 26 (44 weeks ago)
Cost $49
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming IT & Networking
Tags Data Science Machine Learning Cloud Computing Information Technology

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What people are saying

machine learning

This course reveals some practical techniques in Production Machine Learning Systems.

very useful for consider data enigerring Good good overall thank you Really useful course 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.

This course presents all of them and provides guidance for evaluating alternative GOOD I was really hoping I'd gain some real practical skills and knowledge about the different aspects of building and deploying a machine learning model on GCP.

Even though a lot of real estate was covered in this course, most of it was theoretical, and I cannot say that I "really" learned how to implement them if I were working on a big machine learning project, which was exactly why I took this course.

Awesome course for Production of machine learning mode.

very good for people who will enter the production stage on machine learning systems The first module was really good, but the others just seemed like an ad for GCS.

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very good

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 Very Informative.

I walk through the whole system for the entire process of ML so that I could get insights on the forest Very Good!

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with tensorflow

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Distributed Computer Systems Specialist 2 $38k

Distributed Computing Analyst 3 $57k

Distributed Computing Analyst 1 $60k

Distributed Energy Resource Professional $71k

Distributed Simulation Specialist $77k

Distributed Product Support Specialist $80k

Distributed Programmer $84k

Senior Distributed Systems Analyst $89k

Distributed Systems Administrator $94k

Software Engineer - IT of Distributed Systems $124k

Senior Distributed Database Administrator $135k

Distributed Platform Engineer $145k

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Rating 4.2 based on 57 ratings
Length 4 weeks
Effort 5 - 7 hours per week
Starts Jun 26 (44 weeks ago)
Cost $49
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming IT & Networking
Tags Data Science Machine Learning Cloud Computing Information Technology

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