Identify Damaged Car Parts with Vertex AutoML Vision

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Identify Damaged Car Parts with Vertex AutoML Vision provided by Coursera is a comprehensive online course, which lasts for 1-2 hours worth of material. Identify Damaged Car Parts with Vertex AutoML Vision is taught by Google Cloud Training. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • This is a self-paced lab that takes place in the Google Cloud console.

    Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. These models can now be deployed to the same endpoints on Vertex AI.

    AutoML Vision helps anyone with limited Machine Learning (ML) expertise train high quality image classification models. In this hands-on lab, you will learn how to produce a custom ML model that automatically recognizes damaged car parts.

    Once you’ve produced your ML model, it’ll be immediately available for use. You can use the UI or the REST API to start generating predictions directly from the Google Cloud Console.