Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

CNCF [Cloud Native Computing Foundation]

AI in Kubernetes - Getting Started with Machine Learning Pipeline Development

CNCF [Cloud Native Computing Foundation] via YouTube

Overview

Learn how Kubernetes supports machine learning model development lifecycles in this 38-minute conference talk from CNCF. Discover key platform features including autoscaling, GPU device management, idempotent operations, and Pod templating that enable AI-powered application development. Explore practical examples using the Flyte open source orchestrator to see how Python-based ML pipelines can leverage Kubernetes capabilities for everything from data ingestion to model serving. Gain insights into how Kubernetes' architecture, though predating the AI boom, provides robust infrastructure for distributed and iterative machine learning workflows.

Syllabus

AI in Kubernetes: How to Get Started?

Taught by

CNCF [Cloud Native Computing Foundation]

Reviews

Start your review of AI in Kubernetes - Getting Started with Machine Learning Pipeline Development

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.