Kubeflow Training Courses

Kubeflow Training Courses

현지 강사 주도 라이브 Kubeflow 교육 과정은 대화식 실습을 통해 Kubeflow 를 사용하여 Kubernetes 에서 기계 학습 워크 플로를 구축, 배포 및 관리하는 방법을 보여줍니다. Kubeflow 교육은 "현장 라이브 교육"또는 "원격 라이브 교육"으로 제공됩니다. 현장 라이브 교육은 고객 구내에서 로컬로 수행 할 수 있습니다. 대한민국 또는 NobleProg 기업 교육 센터의 대한민국 . 원격 라이브 교육은 대화식 원격 데스크톱을 통해 수행됩니다. NobleProg-현지 교육 제공 업체

Machine Translated

회원 평가


Kubeflow코스 개요

Course Name
Course Name
14 hours
Kubeflow is a toolkit for making Machine Learning (ML) on Kubernetes easy, portable and scalable.

This instructor-led, live training (onsite or remote) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of this training, participants will be able to:

- Install and configure Kubeflow on premise and in the cloud.
- Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
- Run entire machine learning pipelines on diverse architectures and cloud environments.
- Using Kubeflow to spawn and manage Jupyter notebooks.
- Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
- To learn more about Kubeflow, please visit: https://github.com/kubeflow/kubeflow
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코스 프로모션

고객 회사

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