Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory

Online Course

Udemy
Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory

What is the course about?

Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory
The course Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

CAN network theory and practice : Vector CANoe,CANalyzer, CAPL, CANdb++, CANCase for network simulation

Course description
  • Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory
  • Analyze a real CAN network on a prototype vehicle and make diagnosis
  • Applying for automotive testing/ programming job positions which requires the complete knowledge of the CAN network
  • CAN network protocol 2.0A & 2.0B from scratch
  • Configure a real life project with VECTOR CANoe, VECTOR CANalyzer
  • CAPL programming
  • Basilar electronics concepts
  • 4 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Gianluca Mottola

Prerequisites & Facts

Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory

Course Topic

Business, Data Analytics, Decision Making

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory
provided by Udemy

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School: Udemy
Topic: IT & Software, Network & Security, Network Engineering