Open Source MLOps on Public Cloud

DataTalks.Club

A hands-on exercise using Kubeflow on AWS - Andreea Munteanu

In this hands-on workshop, we’ll run an end-to-end project using an open-source machine learning operations tool on the public cloud. It will allow anyone to follow easily by accessing the existing <a href="https://aws.amazon.com/marketplace/pp/prodview-ssgryrrrydtds?sr=0-2&amp;ref_=beagle&amp;applicationId=AWSMPContessa" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">appliance</a> and simply following the steps that we are going to provide.We’ll cover the following steps:<ul><li>Learn about the machine learning workflows and how to navigate through them using Kubeflow </li><li>Access Kubeflow on AWS</li><li>Experiment using Jupyter Notebooks</li><li>Automate machine learning or data science workflows using Kubeflow Pipelines</li><li>Tune ML models using Katib</li><li>Discuss possible integrations with the tooling and their need</li></ul>By the end of this workshop, you’ll be able to run an end-to-end project using <a href="https://charmed-kubeflow.io/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Charmed Kubeflow</a>.About the speaker:Andreea Munteanu is a Product Manager at Canonical, for Machine Learning Operations. With a background in Data Science in various industries, she used AI techniques to enable enterprises to benefit from their initiatives and make data-driven decisions. She collaborated on retail, telco, and shared economy projects, focusing on customer behavior patterns, cost efficiency and scalability.<a href="https://DataTalks.Club" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">DataTalks.Club</a> is the place to talk about data. <a href="https://datatalks.club/slack.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Join our slack community</a>!T﻿his event is sponsored by <a href="https://canonical.com/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Canonical </a>

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Open Source MLOps on Public Cloud

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Open Source MLOps on Public Cloud

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