Deploying Jupyter notebooks as a component in AI Platform pipelines

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I have a Jupyter Notebook containing the model creation, model deployment on the AI Platform, and creating versions. I am able to get the predictions for my model. Now I am trying to build a CI/CD pipeline automating the entire process. Is there a way that I can pass in my entire Jupyter notebook as a component in AI Platform Pipelines?

gcp-ai-platform-notebook object-detection kubeflow-pipelines tensorflow google-cloud-platform
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You can use Papermill to create a parameterized notebook, which can then be executed via CI/CD. This article explains a bit more in detail in the 'Reproducible Notebooks' section.

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