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ubeflow on OpenShift培訓(xùn)大綱

Introduction

Kubeflow on OpenShift vs public cloud managed services
Overview of Kubeflow on OpenShift

Code Read Containers
Storage options
Overview of Environment Setup

Setting up a Kubernetes cluster
Setting up Kubeflow on OpenShift

Installing Kubeflow
Coding the Model

Choosing an ML algorithm
Implementing a TensorFlow CNN model
Reading the Data

Accessing a dataset
Kubeflow Pipelines on OpenShift

Setting up an end-to-end Kubeflow pipeline
Customizing Kubeflow Pipelines
Running an ML Training Job

Training a model
Deploying the Model

Running a trained model on OpenShift
Integrating the Model into a Web Application

Creating a sample application
Sending prediction requests
Administering Kubeflow

Monitoring with Tensorboard
Managing logs
Securing a Kubeflow Cluster

Setting up authentication and authorization
Troubleshooting

Summary and Conclusion