Deploying Quick, Cost-Effective ML Models with Vertex AI

Managed notebook environments make it easier, faster, and more cost-effective to get high-quality models into production without having to set up infrastructure or install libraries. In this session, we’ll demo how to use Vertex AI to get batch and online predictions, monitor deployed model quality over time, and use the Vertex AI Python SDK to upload models to Vertex AI Model Registry and deploy to an endpoint with little code.