Intro to Kubeflow: Katib Training and Certification Recap – Oct 13, 2022

On Oct 13rd we hosted the “Intro to Kubeflow: Katib Training and Certification” prep course. In this blog post we’ll recap some highlights from the class plus give a summary of the Q&A. Let’s start!

First, Congratulations to Mateusz Nędzi!

The first attendee to earn the Katib certificate at the conclusion of the course was Mateusz Nędzi from Cloudfide. A gift code for the Arrikto Community Store is yours, well done!

What topics were covered in the course?

This initial course aimed to get data scientists and DevOps engineers with little or no experience familiar with the fundamentals of how Kubeflow works.

  • Kubeflow Fundamentals Review
  • Katib Basics
  • Getting Started with Katib
  • Navigating the Katib UI
  • Running Katib Experiments
  • Kale Basics
  • AutoML Example: Kaggle’s OpenVaccine Notebook
  • AutoML Example: Kaggle Bluebook for Bulldozers Notebook
  • Course Review

What did I miss?

Here’s a short teaser from the 90 minute training. In this video we show you how to use Katib and Kale inside of Kubeflow to perform hyperparameter tuning on Kaggle’s OpenVaccine notebook.

Missed the Oct 13 Kubeflow training?

If you were unable to join us last week, you can sign up for upcoming Fundamentals, Notebooks, Pipelines and Kale/Katib courses here. You can also sign up for the next Katib course on Nov 17 directly here.

Ready to get started with Kubeflow?

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More Notebooks and Pipelines Workshops…

We are excited to announce a new series of FREE workshops focused on taking popular Kaggle and Udacity machine learning examples from “Notebook to Pipeline.” Registration is now open for the following workshops:

Q&A from the training

Below is a summary of some of the questions that popped into the Q&A box during the course. [Edited for readability and brevity.]

How can I install Kubeflow on a local machine?

The options that you have for installing Kubeflow are here. According to the official Docs, Charmed Kubeflow from Canonical appears to be the only packaged distribution that facilitates a local install.  

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