Kubeflow Training Courses

Kubeflow Training Courses

I corsi di formazione Kubeflow live condotti da istruttori locali dimostrano attraverso pratiche pratiche interattive come utilizzare Kubeflow per costruire, distribuire e gestire flussi di lavoro di machine learning su Kubernetes . Kubeflow allenamento Kubeflow è disponibile come "allenamento dal vivo in loco" o "allenamento dal vivo a distanza". La formazione dal vivo in loco può essere svolta localmente presso la sede del cliente a Italia o nei centri di formazione aziendale NobleProg in Italia . La formazione dal vivo a distanza viene effettuata tramite un desktop remoto interattivo. NobleProg - Il tuo provider di formazione locale

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Recensioni

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Schema generale del corso Kubeflow

Nome del corso
Durata
Overview
Nome del corso
Durata
Overview
14 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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