Lilly Tech Systems
GCP Vertex AI Platform Setup
Set up and configure Google Cloud Vertex AI for end-to-end ML workflows. Learn to provision Workbench notebooks, build ML Pipelines, deploy model Endpoints, configure Monitoring, and apply production best practices.
Course Lessons
Follow the lessons in order or jump to any topic.
1. Introduction
Overview of Vertex AI, its components, and how it fits into the GCP AI ecosystem.
2. Workbench
Set up managed and user-managed Vertex AI Workbench notebook instances with GPU support.
3. Pipelines
Build and run ML pipelines using Vertex AI Pipelines with Kubeflow Pipelines SDK.
4. Endpoints
Deploy models to Vertex AI Endpoints for online and batch prediction with autoscaling.
5. Monitoring
Configure model monitoring for data drift, prediction drift, and feature attribution.
6. Best Practices
Production patterns for Vertex AI including security, cost optimization, and MLOps workflows.