We recently hosted the fourth delivery of the “Intro to Kubeflow: Fundamentals Training and Certification prep course. In this blog post we’ll recap some highlights from the class. Ok, let’s dig in!
Congratulations to Dipankar Medhi!
The first student to earn the “Fundamentals” certificate at the conclusion of the course was Dipankar Medhi. A free MiniKF hoodie and shirt is on the way, well done!
First, thanks for voting for your favorite charity!
With the unprecedented circumstances facing our global community, Arrikto is looking for even more ways to contribute. With this in mind, we thought that in lieu of swag we could give workshop attendees the opportunity to vote for their favorite charity and help guide our monthly donation to charitable causes. The charity that won this workshop’s voting was Malala Fund. The Malala Fund is an international, non-profit organization that advocates for girls’ education investing in education programs that help them go to school and reach their full potential.. We are pleased to be making a donation of $100 to them on behalf of the Kubeflow community. Again, thanks to all of you who attended and voted!
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 architecture
- Overview of machine learning workflows
- Kubeflow components
- Tools and add-ons (Kale, Rok, Istio, etc)
- Distributions
- Installing Kubeflow on AWS
- Community overview
What did I miss?
Here’s a short teaser from the 90 minute training. In this video we demonstrate three things in regards to Katib (which is a Kubeflow component that provides AutoML, hyperparameter tuning and early stopping):
- How to view an experiment
- How to set up experiments
- How to identify the best run
Missed the Apr 13 Kubeflow Fundamentals training?
If you were unable to join us last week, but would still like to attend a future training, the next “Kubeflow Fundamentals” training is happening on June 1. You can sign up for this and the upcoming Notebooks, Pipelines and Kale/Katib courses here.
NEW: Advanced Kubeflow, Kubernetes Basics, 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:
- Apr 20: Kaggle’s Titanic Disaster Machine Learning Example
- Apr 21: Advanced Kubeflow Workshop (Asia Time Zone Friendly)
- Apr 28: Distributed Training Workshop
- May 11: Kaggle’s Covid-19 OpenVaccine Machine Learning Example
- May 12: From Kubernetes to Kubeflow to MLOps
Arrikto Academy
If you are ready to put what you’ve learned into practice with hands-on labs? Then check out Arrikto Academy! On this site you’ll find a variety of FREE skills-building exercises including:
- 1. Deploying Kubeflow Pipelines with the Kale UI
- 2. Hyperparameter Tuning in Kubeflow
- 3. Sharing Kubeflow Snapshots