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
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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