Component Registry for Kubeflow Pipelines
Offered By: CNCF [Cloud Native Computing Foundation] via YouTube
Course Description
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the concept of a component registry for Kubeflow Pipelines in this informative conference talk by Christian Kadner from IBM. Learn how a registry can enhance collaboration and efficiency in machine learning workflows on Kubernetes. Discover the benefits of reusable components in Kubeflow Pipelines and understand how a component registry addresses the need for sharing these components among data scientists and teams. Gain insights into how a rich catalog of components can simplify common tasks in ML workflows, such as creating secrets, persistent volume claims, and config maps, ultimately reducing the burden of implementing repetitive processes on Kubernetes.
Syllabus
A Component Registry for Kubeflow Pipelines - Christian Kadner, IBM
Taught by
CNCF [Cloud Native Computing Foundation]
Related Courses
Introduction to AI/ML Toolkits with KubeflowLinux Foundation via edX Distributed Multi-worker TensorFlow Training on Kubernetes
Google via Google Cloud Skills Boost Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications
LinkedIn Learning Building End-to-end Machine Learning Workflows with Kubeflow
Pluralsight Smart Analytics, Machine Learning, and AI on GCP
Pluralsight