LabVIEW Training Courses

LabVIEW Training Courses

Местните, водени от инструктори течения на живо LabVIEW демонстрират чрез интерактивна практическа практика как да автоматизирате тестовите приложения, да управлявате хардуера за проектиране на системата и други с LabVIEW.

Обучението labVIEW се предлага като "обучение на живо на място" или "дистанционно обучение на живо". Обучението на живо на място може да се проведе на място в помещенията на клиента в или в корпоративните центрове на БългарияNobleProg в България. Дистанционно тока се провежда чрез интерактивен, отдалечен работен плот.

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LabVIEW Course Outlines

Име на Kурса
Продължителност
Общ преглед
Име на Kурса
Продължителност
Общ преглед
14 hours
Общ преглед
LabVIEW is a visual programming language for system design and operations. LabVIEW enables users to automate test applications, manage hardware for system design, and more.

This instructor-led, live training (online or onsite) is aimed at software engineers who wish to use LabVIEW to facilitate automated measurements and system design.

By the end of this training, participants will be able to:

- Build control system applications with LabVIEW
- Perform dataflow programming to execute multi-threading and multi-processing operations.
- Implement graphical programming into the development cycle.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
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НЯКОИ ОТ НАШИТЕ КЛИЕНТИ

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

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

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