From the course: Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications

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Kubeflow integration

Kubeflow integration

- Let's talk about using Kubeflow within applications. So, this is about integrating this system within your applications typically using the Kubeflow SDK, our Software Development Kit. So, it has some details that you need to understand. Number one, you need to understand how pipelines work. And going through a demo of Kubeflow and creating pipelines yourself, even very simple pipelines; which you can do visually using the tool, is the next steps. You need to be able to install the Pipeline SDK. You need to be able to deal with components and pipelines. Ultimately this is about creating reusable objects or components. You need to be able to do that. It's good to understand how to program Kubeflow with languages such as Python, which are fairly popular and fairly common. Research best practices for building and designing and deploying components. Deal with parameters that exist within the Pipeline. Understand visualizations.…

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