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Lab 6: Batch Model Deployments

In this hands-on lab, you will explore another approach to deploying models. For scenarios where you need to make predictions against groups of data or data assets, either on demand or as a scheduled task. We will see how to create a batch deployment. In the lab, you will create a batch deployment through the Cloud Pak for Data UI and then use a Jupyter notebook to see how Jobs can be created, run and scheduled programmatically using the APIs.

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.