Jupyter Extension for Executing Kubeflow Pipeline Seamlessly

Offered By: DevConf via YouTube

Course Description

Overview

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Explore the seamless integration of Elyra with Kubeflow 2.0 in this 27-minute conference talk from DevConf.US 2024. Discover how Elyra, an open-source toolkit, enhances the usability of Kubeflow Pipelines by providing a user-friendly visual editor, support for multiple programming languages, and advanced collaboration tools. Learn how to streamline the development and deployment process of machine learning workflows on Kubernetes, improving efficiency and effectiveness in building and deploying machine learning models within the Kubeflow ecosystem. Gain insights into unleashing the full potential of your machine learning projects through this powerful integration presented by speaker Harshad Reddy Nalla.

Syllabus

Jupyter extension for executing kubeflow pipeline seamlessly - DevConf.US 2024

Taught by

DevConf

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