CloudEXPO 2019

Machine Learning CI/CD Using Jupyter Notebook and Serverless Functions

Deploying machine learning models from training to production requires companies to deal with the complexity of moving workloads through different pipelines and re-writing code from scratch.

Yaron Haviv will explain how to automatically transfer models from Jupyter notebook to scale-out serverless functions for event-driven and real-time applications. He will also address versioning challenges, showing how serverless functions can enable developers to update machine learning models and code together as a single versioned entity. Participants will learn how to work with a continuous development and deployment pipeline through a deep walkthrough and interactive demos.