Practical MLOps with GitHub and Azure ML by Kevin Feasel

Azure Machine Learning provides extensive capabilities for low-code and full-code machine learning tasks. Once you have a full-code solution in place, the next step is to take advantage of Machine Learning Operations (MLOps). In this talk, we will gain an understanding of what MLOps is and why it is valuable for data science teams to follow this maturity model. We will use GitHub Actions as an example of how to maintain machine learning code and deploy it in a practical way.
Kevin Feasel is a Microsoft Data Platform MVP and Proprietor of Catallaxy Services, LLC, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL (curatedsql.com), president of the Triangle Area SQL Server Users Group (www.meetup.com..., and author of PolyBase Revealed (www.apress.com...) and Finding Ghosts in Your Data (link.springer..... A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.

[@Dr.BabakF18]

Hi Kevin, I would like to thank you a lot for your excellent presentation, super insightful on this imperative topic; this is greatly appreciated. I am just wondering if it would be possible to walk us through the remaining last item of the agenda "6. Performing Model Updates:
Discusses strategies and processes for updating deployed models, likely touching upon retraining, monitoring, and rollback mechanisms" as well? You are awesome :-)

[@KevinFeasel]

I do dig into the last agenda item in a separate video on the channel: ruclips.net/video/JL6OCwtz3Cg/видео.html
Admittedly, I don't get into monitoring or rollback, so I will add that to my backlog because it's a really good idea for a future video.

[@Dr.BabakF18]

@@KevinFeasel Thanks so much Kevin; greatly appreciated :-)

[@PuneetMakhija-b4q]

hi @Kevin Do you have the same playlist for AWS Sage Maker too? This Azure ML video is excellent if you saw every video in this playlist.

[@KevinFeasel]

I do not, unfortunately. At this time, I have only a passing familiarity with SageMaker, so I wouldn't be able to put much together. That may change in the future, but probably not anytime soon.