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Microsoft Reactor

Junte-se ao Microsoft Reactor e interaja com os desenvolvedores ao vivo

Voltar

MLOps on Enterprise Scale using Azure ML Workspace and MLFlow.

14 dezembro, 2022 | 12:30 PM - 1:30 PM (UTC) Tempo Universal Coordenado UTC

Formato:
Transmissão ao vivo

Tópico: Ciência de dados e machine learning

Linguagem: Inglês

In this Session, you will learn how we can deploy a Machine learning model using Azure DevOps, How enterprise can work in Agile development involving Data engineer, Data Scientist, Machine Learning engineer and DevOps team together. How Responsible AI and Fairness need to be implemented for Machine learning Model with better Interpretable and fair.

What will you learn from the session?
At the end of this workshop, you will be better able to design and implement end-to-end machine learning model deployment in Enterprise.
Azure services and related products:
• Azure DevOps
• Azure Kubernetes Service
• Azure Machine Learning Service
• Azure Registry
• MLFlow
• Responsible AI and Fairness

Further Learning: https://aka.ms/MLOps-MachineLearning

Speaker: Ayyanar Jeyakrishnan

Speaker BIO - Ayyanar Jeyakrishnan has around 17+ years of IT experience. He is passionate about learning and sharing knowledge on Azure, AWS, Kubernetes, DevOps, Machine Learning, Well Architected Framework in Cloud. He actively contributes to the Cloudnloud Tech community which helps cancer childhood. He has 50+ Technical Certification in AWS, Azure, IBM Cloud, CKA/CKAD, TOGAF Level 2 Certified.

Social Handle
LinkedIn - https://www.linkedin.com/in/jayyanar

Twitter - https://twitter.com/jayyanar1987

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