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.

To learn more, please check out these resources:
* https://aka.ms/learnatignite
* https://info.microsoft.com/contact-us-multi-product-in-person-devices-en.html?ls=356552-contactme-formfill
* https://aka.ms/learnlive-20221012J?wt.mc_id=ignite22_sessions_webpage_wwl
* https://aka.ms/IgniteCollectionCLL99?ocid=ignite22_learnlive_collection_cll99&WT.mc_id=learnlive-20221012J
* https://aka.ms/ignitecsc?ocid=ignite22_CSC_learnlive_cnl

*Speakers:*
* Cassie Breviu
* David Glover
* David Smith
* Korey Stegared-Pace

*Session Information:*
This video is one of many sessions delivered for the Microsoft Ignite 2022 event. Find more content like this, visit the Microsoft Ignite channel – https://www.youtube.com/c/MicrosoftIgnite

CLL99 | English (US)

#MSIgnite

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