Google Cloud

Production Machine Learning Systems

This course is part of multiple programs.

34,689 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.6

(994 reviews)

Advanced level
Designed for those already in the industry
Flexible schedule
Approx. 18 hours
Learn at your own pace
88%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(994 reviews)

Advanced level
Designed for those already in the industry
Flexible schedule
Approx. 18 hours
Learn at your own pace
88%
Most learners liked this course

What you'll learn

  • Compare static versus dynamic training and inference

  • Manage model dependencies

  • Set up distributed training for fault tolerance, replication, and more

  • Export models for portability

Details to know

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Assessments

4 assignments

Taught in English

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There are 6 modules in this course

This module previews the topics covered in the course and how to use Qwiklabs to complete each of your labs using Google Cloud.

What's included

2 videos2 readings

This module explores what else a production ML system needs to do and how to meet those needs. You review how to make important, high-level, design decisions around training and model serving need to make in order to get the right performance profile for your model.

What's included

10 videos1 reading1 assignment1 app item

In this module, you learn how to recognize the ways that our model is dependent on our data, make cost-conscious engineering decisions, know when to roll back our models to earlier versions, debug the causes of observed model behavior and implement a pipeline that is immune to one type of dependency.

What's included

14 videos1 reading1 assignment3 app items

In this module, you identify performance considerations for machine learning models. Machine learning models are not all identical. For some models, you focus on improving I/O performance, and on others, you focus on squeezing out more computational speed.

What's included

14 videos1 reading1 assignment2 app items

Understand the tools and systems available and when to leverage hybrid machine learning models.

What's included

7 videos1 reading1 assignment1 app item

This module reviews what you learned in this course.

What's included

1 video2 readings

Instructor

Instructor ratings
4.8 (76 ratings)
Google Cloud Training
Google Cloud
1,692 Courses2,813,381 learners

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Google Cloud

Recommended if you're interested in Machine Learning

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4.6

994 reviews

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