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Managing MLOps at Scale in OpenShift/Kubernetes

Offered By: DevConf via YouTube

Tags

MLOps Courses Artificial Intelligence Courses Machine Learning Courses DevOps Courses Cloud Computing Courses Kubernetes Courses OpenShift Courses KServe Courses

Course Description

Overview

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Explore a comprehensive conference talk on managing MLOps at scale in OpenShift and Kubernetes environments. Discover how data scientists and developers can efficiently productize AI/ML models using open-source projects like KServe, Codeflare, and OpenDataHub. Learn about cost-effective and agile approaches to accelerate AI/ML adoption without infrastructure concerns or public cloud vendor lock-in. Gain insights into OpenDataHub's capabilities for rapid MLOps adoption and deployment of integrated open-source and third-party tools for AI/ML modeling in a managed cloud service. Witness a practical demonstration of training, deploying, and operating AI/ML models using popular libraries and frameworks. Delivered by Roberto Carratalá at DevConf.CZ 2024, this 30-minute session provides valuable knowledge for organizations seeking to implement AI as a service and streamline their MLOps processes.

Syllabus

Managing MLOps at scale in OpenShift/Kubernetes - DevConf.CZ 2024


Taught by

DevConf

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