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Open Source MLOps on AWS

Offered By: Canonical Ubuntu via YouTube

Tags

MLOps Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Cloud Computing Courses Amazon Web Services (AWS) Courses Kubernetes Courses Generative AI Courses Open Source Courses

Course Description

Overview

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Explore the world of open source MLOps on AWS in this 38-minute webinar presented by Canonical Ubuntu. Discover how enterprises are leveraging cloud providers like AWS to quickly set up AI/ML infrastructure and run entire machine learning cycles. Learn about Charmed Kubeflow, an open source MLOps platform that simplifies AI development without focusing on operations and maintenance. Gain insights into the main challenges of AI/ML, top industries benefiting from these technologies, and the advantages of using AWS for AI/ML applications. Understand how to run Charmed Kubeflow on a hybrid cloud and utilize the Charmed Kubeflow appliance on AWS. Dive into topics such as reducing start-up time and costs, enabling quick iteration for teams, and setting up MLOps environments in minutes. Join hosts Mark Thomas, Solution Architect at AWS, and Andreea Munteanu, AI/ML Product Manager, as they discuss the future of AI/ML infrastructure and open source solutions on the cloud.

Syllabus

Open Source MLOps on AWS


Taught by

Canonical Ubuntu

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