Course Preview: Kale 201 (SDK)

To date we have been working on and publishing skills-based beginner level 101 courses in Arrikto Academy. These courses are reading and media-rich with challenges and hands-on product sandboxes for our developer community to practice and grow their skills with the Kubeflow ecosystem. We are beginning to focus on more advanced content and are eager to share a preview with you of our upcoming technical course – Kale 201 (SDK).

Course Certificate

This course has an accompanying certificate which you can trigger and access in the final sections of the course. This certificate is an HTML based certificate and can be shared on any medium of your choosing.

Course Agenda

You will start with a python code file and proceed through the course modifying the code to build a progressively more complex Kubeflow Pipeline. The working agenda, which is subject to change upon release, is as follows:

Expected Release

We are expecting to release this course by end of February 2022, and hopefully sooner! We will make an announcement in the MiniKF channel in the Kubeflow Community. Click here to join the channel and stay tuned! 

What Else We Are Working On 

We are focused on expanding our skills based education programming with new courses focused on:

  • Rok Registry – how to use Rok Registry to share Rok snapshots and scale and empower Data Science and Machine Learning Ops teams. 
  • Serving – how to serve pipeline models that have been executed with Kale and optimized with Katib.
  • Security – how to manage security policies for Kubeflow pods and namespaces supporting Notebook Servers.

What You Should Do Next

About Arrikto

At Arrikto, we are active members of the Kubeflow community having made significant contributions to the latest 1.4 release. Our projects/products include:

  • Kubeflow as a Service is the easiest way to get started with Kubeflow in minutes! It comes with a Free 14-day trial (no credit card required).
  • Enterprise Kubeflow (EKF) is a complete machine learning operations platform that simplifies, accelerates, and secures the machine learning model development life cycle with Kubeflow.
  • Rok is a data management solution for Kubeflow. Rok’s built-in Kubeflow integration simplifies operations and increases performance, while enabling data versioning, packaging, and secure sharing across teams and cloud boundaries.
  • Kale, a workflow tool for Kubeflow, which orchestrates all of Kubeflow’s components seamlessly.

Kubeflow as a Service

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Free Technical Workshop

Turbocharge your team’s Kubeflow and MLOps skills with a free workshop.