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

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Overview

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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.

Syllabus

  • Welcome to the Machine Learning Operations (MLOps) with Vertex AI: Manage Features
    • Course Introduction
  • Introduction to Vertex AI Feature Store
    • Recap: How does Vertex AI help with the MLOps workflow?
    • Introduction to Vertex AI Feature Store
    • Introduction to Vertex AI Feature Store - Demo
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features An In-depth Look
    • Main capabilities of Vertex AI Feature Store
    • Data Model in Vertex AI Feature Store
    • Introduction to Vertex AI Feature Store
    • Lab Intro: Feature Store: Streaming Ingestion SDK
    • Feature Store: Streaming Ingestion SDK
  • Summary
    • Summary
  • Your Next Steps
    • Claim credential

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