About this Course

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Flexible deadlines
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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. 10 hours to complete
English
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. 10 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Week1
Week 1
20 minutes to complete

Welcome to ML Pipelines on Google Cloud

20 minutes to complete
1 video (Total 3 min), 3 readings
2 hours to complete

Introduction to TFX Pipelines

2 hours to complete
8 videos (Total 50 min)
Week2
Week 2
2 hours to complete

Pipeline orchestration with TFX

2 hours to complete
4 videos (Total 25 min)
2 hours to complete

Custom components and CI/CD for TFX pipelines

2 hours to complete
4 videos (Total 25 min)
Week3
Week 3
1 hour to complete

ML Metadata with TFX

1 hour to complete
3 videos (Total 9 min)
1 hour to complete

Continuous Training with multiple SDKs, KubeFlow & AI Platform Pipelines

1 hour to complete
5 videos (Total 8 min)
Week4
Week 4
2 hours to complete

Continuous Training with Cloud Composer

2 hours to complete
6 videos (Total 27 min)
1 hour to complete

ML Pipelines with MLflow

1 hour to complete
9 videos (Total 35 min)
1 minute to complete

Summary

1 minute to complete
1 video (Total 1 min)

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About the Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

Preparing for Google Cloud Certification: Machine Learning Engineer

Frequently Asked Questions

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