C Language Training Courses

C Language Training

C Language Course Outlines

Code Name Duration Overview
ansices Ansi C for Embedded Systems 14 hours C programming with a focus on how to use it for Embedded System Developments.
ecadpap Embedded C Application Design Principles for Automotive Professionals 14 hours A two day course covering all design principles with code examples coupled with recent industurial technology; very useful for automotive software developers
advancedcsharp Advanced Programming in C# 35 hours C# is an efficient, object-oriented language for developing applications on the Microsoft .NET platform. This course introduces advanced features of C#, examines its usage as both a desktop application programming language and a web programming language for solving real-world problems. Programming techniques and principals are demonstrated and practiced through in-class, hands-on exercises and walk-throughs. Audience     Developers / programmers Format of the course     C# advanced principles are discussed as participants step through the creation of a real-world application.
ecadpapgeneral Embedded C Application Design Principles 14 hours A two day course covering all design principles with code examples coupled with recent industrial technology.
Torch Torch: Getting started with Machine and Deep Learning 21 hours Torch is an open source machine learning library and a scientific computing framework based on the Lua programming language. It provides a development environment for numerics, machine learning, and computer vision, with a particular emphasis on deep learning and convolutional nets. It is one of the fastest and most flexible frameworks for Machine and Deep Learning and is used by companies such as Facebook, Google, Twitter, NVIDIA, AMD, Intel, and many others. In this course we cover the principles of Torch, its unique features, and how it can be applied in real-world applications. We step through numerous hands-on exercises all throughout, demonstrating and practicing the concepts learned. By the end of the course, participants will have a thorough understanding of Torch's underlying features and capabilities as well as its role and contribution within the AI space compared to other frameworks and libraries. Participants will have also received the necessary practice to implement Torch in their own projects. Audience     Software developers and programmers wishing to enable Machine and Deep Learning within their applications Format of the course     Overview of Machine and Deep Learning     In-class coding and integration exercises     Test questions sprinkled along the way to check understanding

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