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

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.

• 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
• Course Badge