About this Course

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

Approx. 15 hours to complete
Korean

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.
Intermediate Level

Approx. 15 hours to complete
Korean

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Week1
Week 1
3 minutes to complete

MLOps 기초 소개

3 minutes to complete
1 video (Total 1 min), 1 reading
Week2
Week 2
25 minutes to complete

MLOps를 사용하는 이유 및 조건

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

기본 Kubernetes 구성요소의 이해(선택사항)

7 hours to complete
25 videos (Total 93 min)
Week4
Week 4
2 hours to complete

AI Platform 파이프라인 소개

2 hours to complete
6 videos (Total 41 min)

Frequently Asked Questions

More questions? Visit the Learner Help Center.