What will you learn?
How you can centralize metadata from the MLOps lifecycle and why you should do it.
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Considerations around having your models in production
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Introduction to the MLOps lifecycle
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Typical approaches for organizing ML projects
Important: This video was created in May 2022. For the most up-to-date code examples, please refer to the Neptune docs.
Other useful resources
Check also Neptune’s documentation.
More about How and Why to Centralize Metadata From the MLOps Lifecycle
What is a Project in Neptune?
Model Training: Detectron2 + neptune.ai Integration [Example]
Model Training: Prophet + neptune.ai Integration [Example]
Create AzureML Pipeline – Workshop with Aurimas Griciūnas
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