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Microsoft Azure MLOps and LLMOps Deep Dive | New BOOK Alert

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Manage episode 509589002 series 3203753
Content provided by Arun Trivedi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arun Trivedi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

The podcast is from the "AI with Arun Show" YouTube video, where host Arun interviews Bani De, a Senior Software Engineer at Microsoft and author of the book Hands-On MLOps on Azure. The discussion focuses primarily on MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations), particularly within the Microsoft Azure ecosystem. Key topics include defining MLOps, contrasting it with traditional DevOps, exploring Azure's unique enterprise integration features, detailing the end-to-end MLOps pipeline, and addressing challenges like data drift, concept drift, and the necessary cultural shifts for successful operationalization. The conversation also touches upon the evolving landscape of generative AI and AI agents, and the importance of monitoring and versioning for creating robust, reproducible, and reliable machine learning systems.

Get your copy of "Hands-on ML Ops on Azure" from Packt Publishing.Use coupon code 👉 AIWithArun 👈 for a special discount!• 15% off on print books• 25% off on eBooks🛒 Get the book here: https://www.packtpub.com/en-us/product/hands-on-mlops-on-azure-9781836200321?srsltid=AfmBOooLNszHULU_7eSKuNLpRNHJSgUG0l_a9PEB9xKwLQjLtKt_OveE

#AIWithArunShow #MLOps #LLMOps #Azure #AzureMachineLearning #Microsoft #MachineLearning #DevOps #ArtificialIntelligence #GitHub #ModelDeployment #DataScience #CloudComputing #GenerativeAI #ResponsibleAI #BookAlert #agenticai

  continue reading

101 episodes

Artwork
iconShare
 
Manage episode 509589002 series 3203753
Content provided by Arun Trivedi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arun Trivedi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

The podcast is from the "AI with Arun Show" YouTube video, where host Arun interviews Bani De, a Senior Software Engineer at Microsoft and author of the book Hands-On MLOps on Azure. The discussion focuses primarily on MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations), particularly within the Microsoft Azure ecosystem. Key topics include defining MLOps, contrasting it with traditional DevOps, exploring Azure's unique enterprise integration features, detailing the end-to-end MLOps pipeline, and addressing challenges like data drift, concept drift, and the necessary cultural shifts for successful operationalization. The conversation also touches upon the evolving landscape of generative AI and AI agents, and the importance of monitoring and versioning for creating robust, reproducible, and reliable machine learning systems.

Get your copy of "Hands-on ML Ops on Azure" from Packt Publishing.Use coupon code 👉 AIWithArun 👈 for a special discount!• 15% off on print books• 25% off on eBooks🛒 Get the book here: https://www.packtpub.com/en-us/product/hands-on-mlops-on-azure-9781836200321?srsltid=AfmBOooLNszHULU_7eSKuNLpRNHJSgUG0l_a9PEB9xKwLQjLtKt_OveE

#AIWithArunShow #MLOps #LLMOps #Azure #AzureMachineLearning #Microsoft #MachineLearning #DevOps #ArtificialIntelligence #GitHub #ModelDeployment #DataScience #CloudComputing #GenerativeAI #ResponsibleAI #BookAlert #agenticai

  continue reading

101 episodes

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