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Lab 5: Online Model Deployments

In this hands-on lab, you will use one of the more common approaches to deploy your models, by using an online deployment to make the models available as an API endpoint. Allowing your model to be called to make real time predictions. In the lab, you will make the model you created earlier available and you will learn how to test the deployed model using the built in test tool.

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.