C Language Training Courses

C Language Training Courses

Local, instructor-led live C (C Language) training courses demonstrate through interactive discussion and hands-on practice various aspects of the C language, including the fundamentals of C programming, advanced C programming and how to develop applications with C.

C training is available as "onsite live training" or "remote live training". Onsite live C Language training can be carried out locally on customer premises in New Zealand or in NobleProg corporate training centers in New Zealand. Remote live training is carried out by way of an interactive, remote desktop.

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C Language Course Outlines

Title
Duration
Overview
Title
Duration
Overview
21 hours
Overview
TDD, or Test Driven Development, is an approach to developing software where coding, testing, and design occur in tandem throughout the software development cycle. Agile is a broader process and management approach to software development that emphasizes incremental delivery, team collaboration, continual planning, and continual learning.

In this instructor-led, live training (onsite or remote), participants will learn how to write high-quality C applications using a TDD and Agile development approach. Participants will put their knowledge into practice by carrying out a series of hands-on exercises to create a well-designed and well-tested C application.

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

- Install and configure development and testing tools needed to carry out TDD
- Design, develop and unit test a C application using a TDD approach
- Apply planning and management practices of Agile development

Audience

- Developers
- Project managers

Format of the Course

- Part lecture, part discussion, exercises and heavy hands-on practice

Notes

- To request a customized training for this course, please contact us to arrange.
14 hours
Overview
C programming with a focus on how to use it for Embedded System Developments.
21 hours
Overview
The course is prepared for beginning programmers.
21 hours
Overview
This instructor-led, live training course covers how to program GPUs for parallel computing, how to use various platforms, how to work with the CUDA platform and its features, and how to perform various optimization techniques using CUDA. Some of the applications include deep learning, analytics, image processing and engineering applications.
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