Google Vertex AI – How to build end to end Retail AI classification system

Vertex AI is a unified ML platform that provides end to journey for building and deploying your ML Models.

In this course, we will develop an end-to-end Retail-Dress Classific AI application using Vertex AI.

We look at how to use various features of the Google Cloud Vertex AI platform to realize the fashion retail use case.

What is prerequisite for this course

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What is prerequisite for this course

What is Google Vertex AI

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Google Vertex AI – Unified ML Platform Overview
4:24

Vertex AI is a unified ML platform that provides end to journey for building and deploying your ML Models.

Data Capture and Pre-Processing in Vertex AI

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Google Vertex AI – Data Capture Overview and Pre-Processing
6:47

In this video, we would look at how to prepare the training data for Retail AI solution.

Building Model and Training using Vertex AI

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Building Model and Training Hands-on Lab using Vertex AI
4:38

In this video, we would build our dress categorization use case using Vertex AI Auto ML module and look at the model evaluation result.

Endpoint and Testing the Model Endpoint

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Endpoint and Testing the Model Endpoint using Vertex AI
3:53

In this video, we would deploy our model as an endpoint and invoke it through the web interface. We would also look at the endpoint metrics (latency, error rates) and logs.

What's Next

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What’s Next after Vertex AI

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