Abstract: 

MLRun is an open-source MLOps orchestration framework. It exists to accelerate the integration of AI/ML applications into existing business workflows. MLRun introduces Data Scientists to a simple Python SDK that transforms their code into a production-quality application. It does so by abstracting the many layers involved in the MLOps pipeline. Developers can build, test, and tune their work anywhere and leverage MLRun to integrate with other components of their business workflow.

The capabilities of MLRun are extensive, and we will cover the basics to get you started. You will leave this session with enough information to:

Get you started with MLRun, on your own, in 10 minutes, so you can automate and accelerate your path to production and have your first AI app running in 20 minutes
Run local move to Kubernetes
Understand how your Python code can run as a Kubernetes job with no code changes
Track your experiments
Get an introduction to advanced MLOps topics using MLRun

Bio: 

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