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

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.

Introduction to Vertex AI Feature Store

1. Introduction to Vertex AI Feature Store

2. Let's practice!

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