Sowmiya Aruldoss
Lead Data Engineer at Presidio
AWS ML Engineer and Data Professional focused on building scalable, production-ready AI/ML solutions that transform complex data into business value. Passionate about cloud and data, with experience delivering AWS-powered solutions that enable innovation and smarter, data-driven decisions.
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sábado, 17 de octubre de 202613:00 - 14:00
From Experiment to Endpoint: The AWS MLOps Journey
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Explore how to take a machine learning model from experimentation to a production-ready endpoint using Amazon SageMaker. Through a real-world use case, we’ll walk through key MLOps capabilities including training, model management, deployment, inference, and monitoring—highlighting the practical challenges and engineering decisions involved in productionizing ML on AWS.
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