End-to-end MLOps with Vertex AI 

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

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

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

Awesome! Thank You

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.

Great, thanks.

Is there cli tools for vertex?

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

Thanks.

Why Google update complite?

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

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.

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

Cool one

Please share the link to previous video where you introduced MLOps

Great!

I would have been if you demonstrated without autoML.

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