Google Cloud
ML Pipelines on Google Cloud - 한국어
Google Cloud

ML Pipelines on Google Cloud - 한국어

Taught in Korean


Gain insight into a topic and learn the fundamentals

Advanced level
Designed for those already in the industry
10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • TFX 표준 파이프라인 구성요소를 개괄적으로 이해합니다.

  • TFX 대화형 컨텍스트를 사용하여 TFX 파이프라인의 프로토타입을 개발하는 방법을 알아봅니다.

  • KubeFlow 및 AI Platform Pipelines로 TensorFlow, PyTorch, XGBoost, Scikit Learn 모델의 지속적 학습

  • Composer 및 MLFlow로 지속적 학습 수행

Details to know

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7 quizzes

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There are 9 modules in this course

이 모듈에서 제공하는 온라인 과정:

What's included

1 video

이 모듈에서는 TensorFlow Extended(TFX)를 소개하고 TFX 개념과 구성요소를 설명합니다.

What's included

7 videos1 quiz1 app item

이 모듈에서 다루는 내용:

What's included

4 videos1 quiz1 app item

이 모듈에서 다루는 내용:

What's included

4 videos1 quiz1 app item

이 모듈에서는 TFX 메타데이터를 사용한 아티팩트 관리에 대해 설명합니다.

What's included

3 videos1 quiz1 app item

이 모듈에서는 다양한 SDK, KubeFlow, AI Platform Pipelines를 사용한 지속적 학습에 대해 설명합니다.

What's included

5 videos1 quiz1 app item

이 모듈에서는 Cloud Composer를 이용한 지속적 학습에 대해 설명합니다.

What's included

6 videos1 quiz1 app item

이 모듈에서는 MLflow와 해당 구성요소를 소개합니다.

What's included

9 videos1 quiz

이 모듈에서는 과정 내용을 요약합니다.

What's included

1 video


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