About this Course

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
Intermediate Level

Approx. 16 hours to complete
Spanish

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.

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
Intermediate Level

Approx. 16 hours to complete
Spanish

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Week1
Week 1
13 minutes to complete

Introducción a MLOps Fundamentals

13 minutes to complete
1 video (Total 1 min), 2 readings
Week2
Week 2
25 minutes to complete

Cuándo y por qué emplear las MLOps

25 minutes to complete
3 videos (Total 15 min)
Week3
Week 3
7 hours to complete

Información sobre los componentes principales de Kubernetes (opcional)

7 hours to complete
26 videos (Total 98 min)
Week4
Week 4
2 hours to complete

Introducción a AI Platform Pipelines

2 hours to complete
6 videos (Total 41 min)

Frequently Asked Questions

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