Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

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Course Overview

What You'll Learn

  • 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.).

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.).

Course FAQs

Is this an accredited online course?

Accreditation for 'Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes' is determined by the provider, Google Cloud. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.

Can this course be used for continuing education credits?

Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.

How do I enroll in this online school program?

To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes' on the Google Cloud online class platform, where you can complete your registration.