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Lab 8: Updating Model and Deployment Assets

In this hands-on lab, you will explore how model deployments can be updated without causing disription to consumers of your models. In the lab, we will update an existing online deployment to point to a new model without causing a change to the deployment endpoint. For validation, we will also test before and after the update, to see the new model in action.

For the lab, you will be following these lab instructions


Javier Torres

Developer Advocate

Javier Torres is a developer advocate and senior software engineer with IBM. He engages with customer and partner development teams to enable them on Cloud & Artificial Intelligence technologies. Prior to this role, he was a Solution Architect focusing on IBM Watson technologies. Javier has more than 15 years experience and holds a Masters degree in Computer Science. He is currently interested in topics related to machine learning, deep learning, information retrieval and learning new development languages/technologies. Outside of technology and work; Javier enjoys spending time with his wife and daughter, and being active outdoors.