We recently hosted the “Intro to Kubeflow: Fundamentals 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. Ok, let’s dig in!
Congratulations to Michael Greenberg!
The first student to earn the “Fundamentals” certificate at the conclusion of the course was Michael Greenberg who works at Red Hat. A coupon code for the Arrikto Community Store is yours, well done!
First, thanks for voting for your favorite charity!
Arrikto is looking for even more ways to contribute. With this in mind, we thought that in lieu of swag we could give course 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 the Global Fund for Women. The Global Fund for Women’s mission is to be a global champion for the human rights of women and girls. They use their powerful networks to find, fund, and amplify the courageous work of women who are building social movements and challenging the status quo. 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)
- Kubeflow as a Service
- 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
You can find a playlist of all the demos from the workshop here.
Missed the July 14 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 Aug 18. You can sign up for this and the upcoming Notebooks, Pipelines and Kale/Katib courses here.
NEW: Advanced Kubeflow, Kubernetes, Distributed Training and Notebooks & Pipelines Workshops
- Jul 27: The Kaggle H&M Personalized Fashion Recommendations Competition
- Jun 28: Training Course: Pipelines Fundamentals
- Aug 3: The Kaggle JPX Tokyo Stock Exchange Prediction Competition
- Aug 4: MLOps Meetup
- Aug 10: Advanced Kubeflow & MLOps Workshop
- Aug 11: Training Course: Katib and Kale Fundamentals
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 labs and tutorials including:
- Kubeflow Use Cases: Kaggle OpenVaccine, Kaggle Titanic Disaster, Kaggle Blue Book for Bulldozers, Dog Breed Classification, Distributed Training, Kaggle Digit Recognizer Competition
- Kubeflow Functionality – Kale, Katib
- Enterprise Kubeflow Skills – Kale SDK, Rok Registry