Master Agentic AI with Managed MLflow

Watch this webinar if you’re tired of flying blind while developing LLM applications, frustrated by unpredictable agent behaviors, or struggling to understand why your agent works in testing but fails in production.

What you’ll learn

  • See the invisible: peek inside your agent’s “brain” using MLflow Tracing to understand every reasoning step and decision point.
  • Measure what matters: build benchmarks that predict real success using MLflow Evaluation’s systematic comparison tools.
  • Experiment like a scientist: run hundreds of agent variations without losing track, thanks to MLflow Tracking’s perfect experiment memory.
  • Find your winners: identify your best agent designs briefly and promote them to production with MLflow Model Registry.

Our host

Mikhail Rozhkov

Technical Product Manager

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