Kubeless Training Courses in Denmark

Kubeless Training Courses

Online or onsite, instructor-led live Kubeless training courses demonstrate through interactive hands-on practice how to use Kubeless to build and deploy applications as functions on top of Kubernetes.

Kubeless training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Kubeless trainings in Denmark can be carried out locally on customer premises or in NobleProg corporate training centers.

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Kubeless Course Outlines in Denmark

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in Denmark (onsite or remote) is aimed at developers who wish to use Kubeless to build and deploy applications as functions on top of Kubernetes. By the end of this training, participants will be able to:
  • Install and configure Kubeless.
  • Turn Kubernetes into a function execution machine, without the need for add-ons such as a messaging bus.
  • Comfortably manage functions as standard Kubernetes objects.
  • Troubleshoot deployments using existing logging and monitoring setup and skills.

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is growing fast!

We are looking for a good mixture of IT and soft skills in Denmark!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

To apply, please create your trainer-profile by going to the link below:

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