Episode
Scaling your AI/ML practices with MLOps and Azure Machine Learning | Part 2
with Seth Juarez, Setu Chokshi
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 2 of the Scaling your AI/ML practices with MLOps and Azure Machine Learning, Setu Chokshi introduces the Azure MLOps (v2) Solution Accelerator and its value proposition. He also shares some customer use-cases!
Chapters
- 00:00 - AI Show begins
- 00:18 - Welcome and introductions
- 01:12 - What's new with the Azure MLOps Solution Accelerator
- 02:08 - Value Proposition
- 04:50 - Customer use cases
- 06:12 - Solution Accelerator goals
- 08:00 - Learn more
- 08:27 - Wrap
Recommended resources
- Learning Modules to upskill your MLOps practices
- MLOps Maturity Model to evaluate MLOps adoption and take an incremental approach to MLOps adoption
- MLOps Solution Accelerator to bootstrap MLOps environments
- Setup MLOps | Microsoft Learn
Related episodes
- Watch on-demand | Microsoft Learn
- Subscribe to the AI Show
- AI Show Live Playlist
- Join us every Monday, for an AI Show livestream on YouTube
Connect
- Seth Juarez | Twitter: @sethjuarez
- Cassie Breviu | Twitter: @Cassieview
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 2 of the Scaling your AI/ML practices with MLOps and Azure Machine Learning, Setu Chokshi introduces the Azure MLOps (v2) Solution Accelerator and its value proposition. He also shares some customer use-cases!
Chapters
- 00:00 - AI Show begins
- 00:18 - Welcome and introductions
- 01:12 - What's new with the Azure MLOps Solution Accelerator
- 02:08 - Value Proposition
- 04:50 - Customer use cases
- 06:12 - Solution Accelerator goals
- 08:00 - Learn more
- 08:27 - Wrap
Recommended resources
- Learning Modules to upskill your MLOps practices
- MLOps Maturity Model to evaluate MLOps adoption and take an incremental approach to MLOps adoption
- MLOps Solution Accelerator to bootstrap MLOps environments
- Setup MLOps | Microsoft Learn
Related episodes
- Watch on-demand | Microsoft Learn
- Subscribe to the AI Show
- AI Show Live Playlist
- Join us every Monday, for an AI Show livestream on YouTube
Connect
- Seth Juarez | Twitter: @sethjuarez
- Cassie Breviu | Twitter: @Cassieview
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