MLOps and LLMOps: Best Practices in Databricks

In this session, we'll dive deep into the evolving world of Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps), and how Azure Databricks is simplifying the process of deploying and managing machine learning models. We'll explore the latest advancements in MLOps, including new features like Models in Unity Catalog, Model Serving, and Lakehouse Monitoring. Using real-world scenarios and automation demos, we'll show you how to streamline your workflows, improve performance stability, and scale your ML solutions. Join this session to learn practical strategies and insights for managing end-to-end ML pipelines on the Databricks Lakehouse platform.

Join us to explore MLOps and LLMOps with Azure Databricks! Learn how to deploy and manage ML models using new features like Models in Unity Catalog, Model Serving, and Lakehouse Monitoring. Discover real-world strategies for scaling and streamlining your ML workflows.