YoVDO

The Challenges of Managing Kubernetes-Based Machine Learning Infrastructure

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

Tags

Kubernetes Courses DevOps Courses Knative Courses MLOps Courses Argo Courses Kubeflow Courses Cloud Native Buildpacks Courses Envoy Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the complexities of managing Kubernetes-based machine learning infrastructure in this insightful 42-minute panel discussion featuring experts from Bloomberg, Seldon, and Spotify. Delve into the dual challenges of handling common infrastructure tasks and ML-specific requirements. Learn how these industry leaders leverage Kubernetes and its robust open-source ecosystem to build cutting-edge machine learning infrastructures. Discover the applications of tools like Knative, Cloud Native Buildpacks, Argo, Envoy, Kubeflow, KServe, Seldon Core, and KubeRay. Gain valuable insights into diverse use cases, including perspectives from end-users and infrastructure providers, as well as on-premises and cloud-based solutions. Understand the current challenges faced by engineers in implementing and maintaining ML infrastructures across different organizational contexts.

Syllabus

The Challenges Managing a Kubernetes-Based Machine...- Yuzhui Liu & Keith Laban, Ed Shee, Keshi Dai


Taught by

CNCF [Cloud Native Computing Foundation]

Related Courses

Machine Learning Operations (MLOps): Getting Started
Google Cloud via Coursera
Проектирование и реализация систем машинного обучения
Higher School of Economics via Coursera
Demystifying Machine Learning Operations (MLOps)
Pluralsight
Machine Learning Engineer with Microsoft Azure
Microsoft via Udacity
Machine Learning Engineering for Production (MLOps)
DeepLearning.AI via Coursera