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Navigate your cloud native world with training that matures your DevOps practices

Learn how to put the latest open source technology into practice with hands-on training, delivered by industry experts, aligned to your desired business outcomes

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Kubernetes for Data Scientists with Spark

2 Days

Available On-Site

Available Virtually

Open Enrollments Available

Customizable


This intensive two-day hands-on course is designed to provide working data scientists and other technology professionals with a comprehensive introduction to Kubernetes and its use in data intensive applications. Attendees will leave with a clear understanding of Kubernetes data processing application design and architecture. Students will gain hands on experience with Kubernetes manifest coding from pod and job basics all the way through advanced topics such as stateful services, volumes, auto scaling and configuration. Skills developed include Pod specification and common analytics and data processing pod design patterns, batch and cron jobs, Spark scheduling, ML operations and more. Best practices are covered in class and through the hands-on lab exercises accompanying each module. Upon completion of the course, attendees will have the skills and information necessary to begin creating effective application manifests for sophisticated cloud native data science applications.

Delivery

Available for Instructor-Led (ILT) in-person/onsite training or Virtual Instructor-Led training (VILT) delivery; Open Enrollment options may be available.

Who Should Attend?

Data Scientists, Big Data Practitioners, Data Engineers, Machine Learning Developers

What Attendees will learn

This course is designed to provide data scientists with a comprehensive introduction to Kubernetes. Upon completion of the course, attendees will have the skills and information necessary to begin creating effective application manifests for sophisticated cloud native data science applications. Learning modules include:

  • Kubernetes architecture and data oriented use cases
  • Controlling workloads on Kubernetes
  • Data driven applications
  • Spark use cases
  • Machine learning use cases

Prerequisites

Students should have taken “Docker Foundation” course or have equivalent knowledge. The "Kubernetes Foundation" course is highly recommended as a prerequisite but not required. Each student must have the ability to run a 64 bit virtual machine (provided) and have good internet access.


Kubernetes for Data Scientists Open Enrollments

October 2020
November 2020
December 2020
January 2021
February 2021
April 2021
June 2021
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Contact us to request more information about enrolling in the Kubernetes for Data Scientists course or to inquire about booking a custom in-house course for your team.

Frequently Asked Questions about Open Enrollment Courses

RX-M's Cloud Native & DevOps enablement philosophy

Bring a neutral perspective

We bring a market neutral perspective to every engagement, taking no stake in any of the competing cloud native platforms, components or solutions so we can offer unbiased insights to our clients

Practice what we teach

We are a multi-cloud company consisting of prominent open source contributors with large-scale software engineering experience, actively contributing to the evolution of next-gen software architectures, application management, and platforms

Be solution focused

RX-M has the unique ability to deliver purpose-built, solution-based training in the form of custom curriculum that aligns with each of our client's specific desired outcomes so your team has the skills needed to accelerate the business

Our team has been trusted to work alongside Cloud Native and DevOps teams at some of the most exciting companies

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