Session
Learn Live: Start the machine learning lifecycle with MLOps
with Cassie Breviu, Korey Stegared-Pace
In this session, we discuss best practices for creating and managing machine learning (ML) models using MLOps processes. MLOps is the practice of collaboration between data scientists, ML engineers, software developers, and other IT teams to manage the end-to-end ML lifecycle. You will identify the different steps of the ML lifecycle, describe how to create and manage machine learning models using MLOps processes, and articulate processes to monitor models and respond to incidents. Join this live session and ask questions along the way for our expert presenters to address.
Learn Live: CLL99 | English (US)
This session was delivered as part of the Microsoft Ignite 2022 event. Discover and watch more on-demand videos from Microsoft Ignite 2022
Next Step
Recommended resources
In this session, we discuss best practices for creating and managing machine learning (ML) models using MLOps processes. MLOps is the practice of collaboration between data scientists, ML engineers, software developers, and other IT teams to manage the end-to-end ML lifecycle. You will identify the different steps of the ML lifecycle, describe how to create and manage machine learning models using MLOps processes, and articulate processes to monitor models and respond to incidents. Join this live session and ask questions along the way for our expert presenters to address.
Learn Live: CLL99 | English (US)
This session was delivered as part of the Microsoft Ignite 2022 event. Discover and watch more on-demand videos from Microsoft Ignite 2022
Next Step
Recommended resources
Have feedback? Submit an issue here.