Deploying your model code into production with Microsoft Azure


December 1, 2023



To educate attendees on processes and tools to deploy local python or R modelling code into high-quality, robust, scalable production code.

To provide attendees with a practical overview of Microsoft Azure Machine Learning Studio

Target Audience:

Data Science practitioners who write python or R code to build predictive models, and are interested in industry best practice for converting experimental code into reliable ML services for their users.

Agenda and Schedule:

Welcome and Introduction

1 hour – Session 1: Intro to Azure Machine Learning Studio

15 min – Break

1 hour – Session 2: Model Training and Inference

15 min – Break

45 min – Session 3: Deployment and Monitoring

15 min – Conclusion and Next Steps