End-to-end MLOps with Vertex AI

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Want to build a system that continuously evaluates and updates your model to reflect changes in its environment? In this episode of AI Simplified, we’ll walk you through a demo of end-to-end MLOps workflow using Vertex AI pipelines. Watch to learn how MLOps can help you build a system that reflects changes in the environment!

Chapters:
0:00 - Intro to MLOps workflow
2:30 - MLOps Workflow demo
6:53 - Compile and run end-to-end ML pipeline
8:00 - Summary

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product: Cloud - AI and Machine Learning - AI building blocks; fullname: Priyanka Vergadia; re_ty: Publish;

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this is an amazing idea of explanation. Love the mirrored t-shirt

michalbiajgo_roascrafters

One of the Best videos I found on introducing MLOps to a Beginner within 10 minutes ! Thank you !

sukanya

Thanks for the tutorial.Can you please tell me in which scenarios python scripting is used in MLOps workflow apart from building a model .Also in which cases we use bash.Basically want
to know how much scripting is needed in MLOps apart from building a model.

RajivMukul

What if you need to retrain the model after deployment? Can Vertex AI monitor that situation? Is there a video on that aspect?

wryltxw

i regret being 1 year too late to these video series.

greendsnow

Mam i am BSC chemistry degree complete but google company work tell me

vigneshv

Priyanka ... thank you for what you do. It is simply remarkable on how you break down these concepts into easy-to-digest chunks.

A question for the term "end-to-end" AI pipeline can this end-to-end involve steps spanning multiple clouds ? for instance, an end-2-end workflow that involves training model on GCP and Deploying model on AWS (or any other cloud for that matter) and GCP being the sole controller of this end-2-end workflow. Would love to hear your thoughts .. thanks again.

mrc

Where is the Monitoring part? Where is the Pipeline scheduling part? Where is the monitoring or logging the metrics or Drift part?

AmitYadav-ovie

Please share the link to previous video where you introduced MLOps

asadfaizi

I would have been if you demonstrated without autoML.

SaiKalyan

Handling vertex AI with respect to worst roles and permission is hard to handle

kadapa-rljg

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