YoVDO

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

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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]

Related Courses

Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Scientific Computing
University of Washington via Coursera Introduction to Data Science
University of Washington via Coursera Web Intelligence and Big Data
Indian Institute of Technology Delhi via Coursera