About this Course

15,856 recent views
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Advanced Level
Approx. 20 hours to complete
English

What you will 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

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Advanced Level
Approx. 20 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up87%(2,319 ratings)
Week1
Week 1
23 minutes to complete

Introduction to Advanced Machine Learning on Google Cloud

23 minutes to complete
2 videos (Total 3 min), 2 readings
3 hours to complete

Architecting Production ML Systems

3 hours to complete
10 videos (Total 40 min), 1 reading, 2 quizzes
Week2
Week 2
7 hours to complete

Designing Adaptable ML Systems

7 hours to complete
16 videos (Total 54 min), 1 reading, 4 quizzes
7 hours to complete

Designing High-Performance ML Systems

7 hours to complete
15 videos (Total 43 min), 1 reading, 4 quizzes
Week3
Week 3
3 hours to complete

Building Hybrid ML Systems

3 hours to complete
7 videos (Total 19 min), 1 reading, 2 quizzes
21 minutes to complete

Summary

21 minutes to complete
1 video (Total 1 min), 2 readings

Reviews

TOP REVIEWS FROM PRODUCTION MACHINE LEARNING SYSTEMS

View all reviews

Frequently Asked Questions

More questions? Visit the Learner Help Center.