AWS provides a set of flexible services designed to enable companies to more rapidly and reliably build and deliver products using DevOps practices. This session addresses the challenges of productionising ML models, and introduces DevOps for a machine learning - a set of practices that combines ML process and DevOps practices. Join us to hear the best practices of leveraging Amazon SageMaker Pipelines and AWS CI/CD tools to automate ML processes.
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