Kubeflow Training Courses

Kubeflow Training Courses

Lokale, door instructeurs geleide live Kubeflow trainingscursussen demonstreren door interactieve hands-on praktijk hoe Kubeflow te gebruiken voor het bouwen, implementeren en beheren van workflows voor machine-leren op Kubernetes . Kubeflow training is beschikbaar als "live training op locatie" of "live training op afstand". Live training op locatie kan lokaal worden uitgevoerd bij de klant in Nederland of in NobleProg bedrijfsopleidingscentra in Nederland . Live-training op afstand wordt uitgevoerd via een interactieve, externe desktop. NobleProg - Uw lokale trainingsaanbieder

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Kubeflow Cursusoverzicht

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
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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