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.
Overview
Syllabus
- Welcome to the Machine Learning Operations (MLOps) with Vertex AI: Manage Features
- Introduction to the course.
- Introduction to Vertex AI Feature Store
- Vertex AI and its MLOps capabilities. Main challenges related to data and potential solutions to mitigate them.
- Machine Learning Operations (MLOps) with Vertex AI: Manage Features An in depth look
- Key capabilities of Vertex AI Feature Store
- Summary
- Summary of the course
Taught by
Google Cloud Training
Related Courses
-
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
-
MLOps with Vertex AI: Manage Features - Français
-
Machine Learning Operations (MLOps): Getting Started
-
MLOps with Vertex AI: Manage Features - Português Brasileiro
-
Machine Learning Operations (MLOps): Getting Started
-
MLOps with Vertex AI: Manage Features - í•œêµì–´
