Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

Coursera MOOC / Non-credit USD 9.99

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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.).

What you'll learn

train custom machine learning models
deploy models using TensorFlow Serving
understand cloud computing principles
use Kubernetes for container orchestration

Course objectives

gain practical experience in model deployment
understand the integration of TensorFlow with cloud platforms

Skills you'll gain

google cloud machine learning cloud computing cloud deployment kubernetes tensorflow image recognition hands-on lab model serving automl vision

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