Azure MLops- MLPipeline_MNIST Hands-on- Session II, part 5
Configure Azure ML pipeline
Credentials
Dependencies
Dockerize
Datastore
Computre resources
Model training step
Model evaluation & registration steps
Publish, trigger, schedule pipeline
Q&A
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