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What is Kubeflow?

Kubeflow is the open source machine learning toolkit on top of Kubernetes.

Kubernetes is the industry standard for software delivery at scale and Kubeflow provides the cloud-native interface between K8s and data science tools - libraries, frameworks, pipelines, notebooks - bringing the Ops to ML.

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Kubeflow Training

This repo is part of the 5-day Kubeflow enterprise training provided by Canonical and Mavencode.

Throughout this training, experts from Mavencode and Canonical will guide you through the steps from installing Kubeflow to building real-world machine learning pipelines using Kubeflow & Kale, serve your models, how ML operators and TF jobs work and how to tune model parameters with Katib.

Training Agenda

├── Day 1
	├── Setting up Kubeflow on Microk8s
	├── Setting up Jupyter notebooks on Kubeflow 		
├── Day 2      
	├── Kubeflow Pipelines     
├── Day 3
	├── Kale
	├── KF serving
├── Day 4
	├── Seldon Core
	├── TF Serving
├── Day 5
	├── ML Operators                
	└── Katib

Relevant links

• Upstream Kubeflow documentation - link
• Charmed Kubeflow documentation - link
• Kubeflow MicroK8s add-on documentation - link