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ML Ops Design Patterns with Kubeflow Pipelines

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Conference Talks Courses Data Science Courses Design Patterns Courses Kubeflow Pipelines Courses

Course Description

Overview

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Explore ML Ops design patterns with Kubeflow Pipelines in this 20-minute conference talk by Amy Unruh from Google. Learn about the challenges of transitioning ML workflows from notebook exploration to production and discover effective patterns to address these issues. Gain insights into how Kubeflow Pipelines (KFP) can support and implement these patterns, with live demonstrations showcasing KFP in action. The talk covers an introduction to ML Ops challenges, an overview of Kubeflow pipelines, and practical pipeline examples to illustrate key concepts.

Syllabus

Intro
ML Ops challenges
Kubeflow pipelines
Pipeline examples
Second example


Taught by

CNCF [Cloud Native Computing Foundation]

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