The AI-Powered Super IC

Building Reliable AI Systems with MLflow

Hosted by Maria Vechtomova, Başak Eskili, and Daniel Liden

Wed, Apr 30, 2025

6:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

150 students

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Go deeper with a course

End-to-end MLOps with Databricks
Maria Vechtomova and Başak Eskili
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What you'll learn

Prototype and evaluate your AI application with MLflow

Understand how you can use MLflow tracing and evaluation to build a reliable AI application.

Build and deploy your application on Databricks

Understand how you can use a custom model to log and register your AI application, and then deploy it on Databricks.

Why this topic matters

GenAI projects tend to get complicated quickly. They often have many components, including both deterministic functions and GenAI model calls, and use models from multiple different providers. In this session, we show you some basic MLflow GenAI functionality that will simplify the process of building and maintaining your AI applications.

You'll learn from

Maria Vechtomova

MLOps Tech Lead, Databricks MVP

MLOps Tech Lead with 10+ YoE in machine learning and MLOps. Databricks MVP. Writing an O'Reilly book on MLOps with Databricks.

Başak Eskili

ML Engineer

ML Engineer with 6+ YoE. Currently working at booking.com in a feature store team, serving 200k RPS with P99.9 25ms latency.

Daniel Liden

Senior Developer Advocate at Databricks

Daniel is a Developer Advocate at Databricks, focusing on MLflow.

Learn directly from Maria Vechtomova, Başak Eskili, and Daniel Liden

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