Introduction to Building ML Microservices - A Hands-On Approach with Music Industry Examples

Dive into a comprehensive 3-hour workshop on building machine learning microservices, focusing on practical applications in the music industry. Learn to tackle challenges of serving individual and multiple models in production using tools like MLServer and Seldon Core. Explore how to create ML microservices with one or multiple models, and construct inference graphs for A/B testing, shadow and canary deployment, feature transformations, and model monitoring. Gain hands-on experience with open-source tools to build microservices tailored to various use cases and model recipes. Walk through engaging examples from the music industry while mastering key steps in the machine learning workflow. Perfect for developers and data scientists looking to enhance their skills in deploying and managing ML models in production environments.

Introduction to Building ML Microservices: A Hands-On Approach With Examples From The Music Industry