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Explore the world of Machine Learning Operations (MLOps) in this 33-minute video from Canonical Ubuntu. Gain insights into MLOps practices that streamline workflow processes and automate machine learning deployments. Discover how MLOps enables faster model shipping while ensuring portability and reproducibility. Learn about current MLOps trends, selecting the right solution, and Charmed Kubeflow from Canonical's AI experts. Dive into key topics including the business value of MLOps, architecture overview, and a demonstration of Charmed Kubeflow. Understand how MLOps can benefit real-world applications like smart city traffic management. Perfect for those looking to enhance their knowledge of efficient machine learning model deployment and maintenance at scale.
Syllabus
Introduction
What is the business value?
MLOps architecture overview
Demo: Charmed Kubeflow
Taught by
Canonical Ubuntu