Google Cloud

Production Machine Learning Systems

This course is part of multiple programs.

Taught in English

31,845 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.6

(975 reviews)

|

88%

Advanced level
Designed for those already in the industry
18 hours (approximately)
Flexible schedule
Learn at your own pace

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

Shareable certificate

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(975 reviews)

|

88%

Advanced level
Designed for those already in the industry
18 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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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 quiz1 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 quiz3 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 quiz2 app items

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

What's included

7 videos1 reading1 quiz1 app item

This module reviews what you learned in this course.

What's included

1 video2 readings

Instructor

Instructor ratings
4.8 (68 ratings)
Google Cloud Training
Google Cloud
1,392 Courses2,562,901 learners

Offered by

Google Cloud

Recommended if you're interested in Machine Learning

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4.6

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