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Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image...

By Google Cloud Training on Coursera

About This Course

This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

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How much does Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh cost?

Visit the Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh course page for current pricing and available discounts.

Who teaches Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh?

Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh is taught by Google Cloud Training, Google Cloud.

What skill level is Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh for?

This course is designed for all levels learners.

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Students0
Duration5 hours
LevelAll Levels
Languageen
PlatformCoursera