MLOps (Machine Learning Operations) Fundamentals 한국어

이 과정에서는 Google Cloud에서 프로덕션 ML 시스템 배포, 평가, 모니터링, 운영을 위한 MLOps 도구와 권장사항을 소개합니다. MLOps는 프로덕션에서 ML 시스템을 배포, 테스트, 모니터링, 자동화하는 방법론입니다. 머신러닝 엔지니어링 전문가들은 배포된 모델의 지속적인 개선과 평가를 위해 도구를 사용합니다. 이들이 협력하거나 때론 그 역할을 하는 데이터 과학자는 고성능 모델을 빠르고 정밀하게 배포할 수 있도록 모델을 개발합니다.

• 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.

Syllabus

Syllabus - What you will learn from this course
Week 1
MLOps 기초 소개
Week 2
MLOps를 사용하는 이유 및 조건
Week 3
기본 Kubernetes 구성요소의 이해(선택사항)
Week 4
AI Platform 파이프라인 소개
Week 5
AI Platform의 학습, 조정, 서빙
Week 6
AI Platform에서 사용하는 Kubeflow Pipelines
Week 7
AI Platform에서 사용하는 Kubeflow Pipelines용 CI/CD
Week 8
요약
Week 9
과정 리소스

FAQ

When will I have access to the lectures and assignments?

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Last Updated: September 1, 2015

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