Kubeflow Training Courses in Australia

Kubeflow Training Courses

Local, instructor-led live Kubeflow training courses demonstrate through interactive hands-on practice how to use Kubeflow to build, deploy, and manage machine learning workflows on Kubernetes.

Kubeflow training is available as "onsite live training" or "remote live training". Onsite live Kubeflow training can be carried out locally on customer premises in Australia or in NobleProg corporate training centers in Australia. Remote live training is carried out by way of an interactive, remote desktop.

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Kubeflow Course Outlines in Australia

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
This instructor-led, live training in Australia (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.
- 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.
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