Course Introduction

Welcome to the Machine Learning Operations (MLOps) with Vertex AI: Manage Features

Vertex AI and its MLOps capabilities. Main challenges related to data and potential solutions to mitigate them.

Recap: How does Vertex AI help with the MLOps workflow?

Introduction to Vertex AI Feature Store

Introduction to Vertex AI Feature Store - Demo

Key capabilities of Vertex AI Feature Store

Main capabilities of Vertex AI Feature Store

Data Model in Vertex AI Feature Store

Lab Intro: Feature Store: Streaming Ingestion SDK

OCBL431-Feature-Store-Streaming-ingestion-SDK

Feature Store: Streaming Ingestion SDK

Machine Learning Operations (MLOps) with Vertex AI: Manage Features An In-depth Look

Summary

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production.

Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

Learn best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

Lab Intro: Feature Store: Streaming Ingestion SDK

1. Lab Intro: Feature Store: Streaming Ingestion SDK

2. Let's practice!

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