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Machine Learning Operations (MLOps) with Vertex AI: Manage Features
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Overview
"Machine Learning Operations (MLOps) with Vertex AI: Manage Features" is a specialized, hands-on course designed for data scientists, ML engineers, and DevOps professionals who want to operationalize machine learning workflows on Google Cloud. The course focuses specifically on one of the most critical components of scalable MLOps pipelines—feature management. Using Vertex AI Feature Store, participants will learn how to create, store, share, and serve machine learning features consistently across training and serving environments. The course explores best practices for organizing feature...
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 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
Instructor
Google Cloud
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