In this video, Aurimas Griciūnas (Neptune’s Senior Solutions Architect) demonstrates how to run a pipeline from AzureML Notebook and automate the entire process using Azure DevOps.
The agenda:
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Intro
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Introduction to ML training pipeline stages
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How Neptune fits the picture
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Overview of the project in the Notebook
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Prerequisites for AzureML Pipelines and Azure DevOps
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Building the AzureML Pipeline
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Integrating with Azure DevOps
Other useful resources
Read the documentation on using Neptune with Azure ML.
Check the example repo on GitHub.
More about Create AzureML Pipeline – Workshop with Aurimas Griciūnas
See also
What is a Project in Neptune?
See also
Model Training: Detectron2 + neptune.ai Integration [Example]
See also
Model Training: Prophet + neptune.ai Integration [Example]
See also
Create AzureML Pipeline – Workshop with Aurimas Griciūnas
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