An introduction to MLOps on Google Cloud

The enterprise machine learning life cycle is expanding as firms increasingly look to automate their production ML systems. MLOps is an ML engineering culture and practice that aims at unifying ML system development and ML system operation enabling shorter development cycles, increased deployment velocity, and more dependable releases in close alignment with business objectives.
Learn how to construct your systems to standardize and manage the life cycle of machine learning in production with MLOps on Google Cloud.
Speaker: Nate Keating
Watch more:
Google Cloud Next ’20: OnAir → goo.gle/next2020
Subscribe to the GCP Channel → goo.gle/GCP
#GoogleCloudNext
AI212
product: Cloud - General; fullname: Nate Keating; event: Google Cloud Next 2020;

[@lugeGUACHA]

HAHAHA
"The ML journey starts as a data scientist, HOPEFULLY, with a clear ML use case and business objective."

[@arpanamehta9886]

Great in-depth explanation! Even a beginner like me could understand all the details. Looking forward to videos on specific use cases as well like NLP with custom data! :)

[@arendwolven6588]

Yep, great in-dept explanation 👌

[@googlecloudtech]

Glad it was helpful!

[@jackbauer322]

Do you have a hands on course to see and put in place a pipeline ?