C++ for Embedded Systems Training Course

In this instructor-led, live training in the US, participants will learn how to program the Arduino using advanced techniques as they step through the creation of a simple sensor alert system.

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

• Understand how Arduino works.
• Dig deep into the main components and functionalities of Arduino.
• Program the Arduino without using the Arduino IDE.

This instructor-led, live training in the US (online or onsite) is aimed at engineers who wish to learn how to use embedded C to program various types of microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led, live training in the US, participants will learn how to program the Arduino for real-world usage, such as to control lights, motors and motion detection sensors. This course assumes the use of real hardware components in a live lab environment (not software-simulated hardware).

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

• Program Arduino to control lights, motors, and other devices.
• Understand Arduino's architecture, including inputs and connectors for add-on devices.
• Add third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend Arduino's functionality.
• Understand the various options in programming languages, from C to drag-and-drop languages.
• Test, debug, and deploy the Arduino to solve real world problems.

In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language.

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

• Build and operate a robotic system that includes both software and hardware components
• Understand the key concepts used in robotic technologies
• Assemble motors, sensors and microcontrollers into a working robot
• Design the mechanical structure of a robot

Audience

• Developers
• Engineers
• Hobbyists

Format of the course

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

Note

• Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave
• Prototyping board and cables
• USB cable
• Vehicle kit
• Participants will need to purchase their own hardware.
• If you wish to customize this training, please contact us to arrange.

Buildroot is an open-source project that contains scripts that produce a cross-compilation toolchain, a customizable root filesystem image, and a Linux kernel for embedded devices. During this practical course, participants will learn how to use it:

• How to select software that goes into the root filesystem.
• How to add new packages and modify existing ones.
• How to add support for new embedded boards.

During the course, bootable filesystem images will be produced. Remote courses are delivered using the QEMU emulator, while in the classroom it is possible to use either QEMU or real embedded boards of the trainer's choice.

Other projects with similar goals include the Yocto project and OpenWRT. Please use these presentations to determine which one is the right choice for your needs.

This instructor-led, live training in the US (online or onsite) is aimed at engineers and scientists who wish to learn and apply DSP implementations to efficiently handle different signal types and gain better control over multi-channel electronic systems.

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

• Setup and configure the necessary software platform and tools for Digital Signal Processing.
• Understand the concepts and principles that are foundational to DSP and its applications.
• Familiarize themselves with DSP components and employ them in electronics systems.
• Generate algorithms and operational functions using the results from DSP.
• Utilize the basic features of DSP software platforms and design signal filters.
• Synthesize DSP simulations and implement various types of filters for DSP.

This instructor-led, live training (online or onsite) is aimed at C developers wishing to learn embedded C design principles.

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

• Understand the design considerations that make embedded C programs reliable
• Define the functionality of an embedded system
• Define the program logic and structure to obtain the desired result
• Design a reliable, error-free embedded application
• Obtain optimal performance from target hardware

Format of the Course:

• Interactive lecture and discussion
• 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.

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level automotive engineers and technicians who wish to gain hands-on experience in testing, simulating, and diagnosing ECUs using Vector tools like CANoe and CANape.

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

• Understand the role and function of ECUs in automotive systems.
• Set up and configure Vector tools such as CANoe and CANape.
• Simulate and test ECU communication on CAN and LIN networks.
• Analyze data and perform diagnostics on ECUs.
• Create test cases and automate testing workflows.
• Calibrate and optimize ECUs using practical approaches.

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level automotive engineers and embedded systems developers who wish to understand the theoretical aspects of ECUs, focusing on Vector-based tools and methodologies used in automotive design and development.

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

• Understand the architecture and functions of ECUs in modern vehicles.
• Analyze communication protocols used in ECU development.
• Explore Vector-based tools and their theoretical applications.
• Apply model-based development principles to ECU design.

Course Objectives

To provide an understanding of the essentials of embedded GNU/Linux, how the bits and pieces fit together. What components are needed to build an embedded GNU/Linux system, where to get them from and how to configure/build/install them? Where to get help from? What about those software licenses? Hands-on exercises provide you with the necessary practical experience to go ahead and develop your own embedded GNU/Linux systems after completing this training successfully.

Description

This five day training class uses hands-on exercises combined with instruction to illustrate the concepts of embedded GNU/Linux. It is designed to bring you quickly up to speed. The philosophy, concepts and commands necessary to make effective use of GNU/Linux are described through a combination of theory and on-the-job training.

Don't reinvent the wheel, but learn from an experienced trainer and take home a working knowledge of GNU/Linux and the ability to use it effectively in your own embedded development project.

Who should attend?

Managers, project managers, software-, hardware-, development-, systems engineers, testers, administrators, technicians and other parties interested in the technology, who want to understand as quickly as possible how Embedded GNU/Linux works. You must use GNU/Linux or you have to luxury to decide whether it makes sense to use it or not. Maybe you already tried to use Embedded GNU/Linux, but are not quite sure that you did everything the right way. You currently use a different operating system and wand to figure out whether GNU/Linux might better and/or cheaper.

Delivery Options

All the training material is English, but the presentation of it can be in English or in German, as you wish, worldwide.

• on-site - instructor driven
• on-line - instructor driven
• on-site/on-line combination - instructor driven

In this instructor-led, live training in the US, participants will learn how to code using FreeRTOS as they step through the development of a simple RTOS project using a microcontroller.

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

• Understand the basic concepts of real-time operating systems.
• Learn the environment of FreeRTOS.
• Learn how to code with FreeRTOS.
• Interface a FreeRTOS application to hardware peripherals.

This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level embedded systems engineers and AI developers who wish to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

• Understand the fundamentals of TinyML and its benefits for edge AI applications.
• Set up a development environment for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Use TensorFlow Lite and Edge Impulse to implement real-world TinyML applications.
• Optimize AI models for power efficiency and memory constraints.

In this instructor-led, live training in the US, participants will learn how to create a build system for embedded Linux based on Yocto Project.

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

• Understand the fundamental concepts behind a Yocto Project build system, including recipes, metadata, and layers.
• Build a Linux image and run it under emulation.
• Save time and energy building embedded Linux systems.