Scaling your AI/ML practices with MLOps and Azure Machine Learning | Part 1
On Part 1 of the Scaling your AI/ML practices with MLOps and Azure Machine Learning series, Abe Omorogbe gives an overview of MLOps and how to utilize AzureML MLOps capabilities to streamline the process of moving ML experiments from training to inference.
Chapters:
00:00 AI Show begins
00:19 Welcome and Intros
00:45 Breaking news about Microsoft in AI
02:02 MLOps - How to bring ML to production
03:26 How important is the process
05:00 Enterprise Machine Learning Lifecycle
08:15 Get Started https://aka.ms/MLOps/Learn
09:26 Wrap
Resources:
Learning Modules to upskill your MLOps practices https://aka.ms/MLOps/Learn
MLOps Maturity Model to evaluate MLOps adoption and take an incremental approach to MLOps adoption https://aka.ms/MLOps/MaturityModel
MLOps Solution Accelerator to bootstrap MLOps environments https://github.com/Azure/mlops-v2
Setup MLOps in Microsoft Docs https://aka.ms/MLOps/Setup
Connect:
Seth | / sethjuarez
Cassie | / cassieview
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