Online or onsite, instructor-led live Apache Karaf training courses demonstrate through interactive discussion and hands-on practice how to use Apache Karaf for deploying containerized applications.
Apache Karaf 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 Apache Karaf training can be carried out locally on customer premises in Luxembourg City or in NobleProg corporate training centers in Luxembourg City.
Learn Apache Karaf in our training center in Luxembourg City. The financial center and the touristic sites are really close.
Easy access to The EU-district and the International Airport Findel-Luxembourg by public buses. Read more
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Airbus Defence and Space GmbH
Course: Building OSGi Applications with Apache Karaf
Apache Karaf is an OSGi based runtime for deploying containerized applications.
In this instructor-led, live training (onsite or remote), participants will learn how to set up an OSGi based project as they step through the deployment of a modular Java application using Apache Karaf.
By the end of this training, participants will be able to:
- Install and configure Apache Karaf - Understand the essential features of the OSGi runtime environment - Develop a containerized application using the Apache Karaf run time environment
Audience
- Architects - Developers
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice.
Note
- To request a customized training for this course, please contact us to arrange.
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We are looking for a good mixture of IT and soft skills in Luxembourg!
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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