Kubeflow培训课程

Kubeflow培训课程

本地,教师指导的现场Kubeflow培训课程演示通过交互式动手练习如何使用Kubeflow构建,部署和管理机器学习工作流程上KubernetesKubeflow培训可作为“现场现场培训”或“远程现场培训”。现场现场培训可以在当地的客户场所进行中国或在NobleProg公司培训中心中国 。远程实时培训是通过交互式远程桌面进行的。 NobleProg-您当地的培训机构

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Kubeflow课程大纲

课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
14小时
课程概览
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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