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
Google via Google Cloud Skills Boost
Overview
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
- Course Badge
Tags
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