About this Course

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Intermediate Level

Approx. 14 hours to complete
English

What you will learn

  • Identify and use core technologies required to support effective MLOps.

  • Configure and provision Google Cloud architectures for reliable and effective MLOps environments.

  • Adopt the best CI/CD practices in the context of ML systems.

  • Implement reliable and repeatable training and inference workflows.

Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

Approx. 14 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

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Week
1

Week 1

13 minutes to complete

Welcome to MLOps Fundamentals

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

Why and When do we need MLOps

25 minutes to complete
3 videos (Total 15 min)
7 hours to complete

Understanding the Main Kubernetes Components (Optional)

7 hours to complete
25 videos (Total 93 min)
Week
2

Week 2

2 hours to complete

Introduction to AI Platform Pipelines

2 hours to complete
7 videos (Total 46 min)
2 hours to complete

Training, Tuning and Serving on AI Platform

2 hours to complete
7 videos (Total 37 min)
Week
3

Week 3

2 hours to complete

Kubeflow Pipelines on AI Platform

2 hours to complete
7 videos (Total 32 min)
1 hour to complete

CI/CD for Kubeflow Pipelines on AI Platform

1 hour to complete
5 videos (Total 13 min)
2 minutes to complete

Summary

2 minutes to complete
1 video (Total 2 min)

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