Episode

Scaling your AI/ML practices with MLOps and Azure Machine Learning | Part 3

with Seth Juarez, Scott Donohoo

On this week's AI Show, Abe Omorogbe, Scott Donohoo, and Setu Chokshi stop by to talk about how to utilize AzureML MLOps capabilities to streamline the process of moving ML experiments from training to inference. They'll demo how AzureML can be used to securely train, deploy, and manage ML models in production environments and highlight practices the AzureML team has used to helped customers standardize on AzureML to scale their ML Ops practices.

On Part 3 of Scaling your AI/ML practices with MLOps and Azure Machine Learning, Scott Donohoo demos how to use the Azure MLOps Solution Accelerator to securely train, deploy and manage ML models in production environments.

Chapters

Connect

Azure
Azure Machine Learning
Azure OpenAI Service