Open Source MLOps on Public Cloud

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Open Source MLOps on Public Cloud

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

By DataTalks.Club

When and where

Date and time

Tuesday, May 2 · 7:30 - 9am PDT



About this event

  • 1 hour 30 minutes
  • Mobile eTicket

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 appliance and simply following the steps that we are going to provide.

We’ll cover the following steps:

  • Learn about the machine learning workflows and how to navigate through them using Kubeflow
  • Access Kubeflow on AWS
  • Experiment using Jupyter Notebooks
  • Automate machine learning or data science workflows using Kubeflow Pipelines
  • Tune ML models using Katib
  • Discuss possible integrations with the tooling and their need

By the end of this workshop, you’ll be able to run an end-to-end project using Charmed Kubeflow.

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.

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This event is sponsored by Canonical

About the organizer

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