Model Based Development for Embedded Systems Training Course

In this instructor-led, live training in South Korea, 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 South Korea (online or onsite) is designed for engineers who want to learn how to utilize embedded C to program various microcontrollers based on different processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led, live training in South Korea, 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.

Through this instructor-led live training, participants will acquire the skills to build a robot utilizing Arduino hardware and the Arduino (C/C++) programming language.

Upon completing this training, participants will be capable of:

• Constructing and operating a robotic system that integrates both software and hardware elements
• Gaining a solid understanding of core concepts in robotic technologies
• Assembling motors, sensors, and microcontrollers to create a functional robot
• Designing the mechanical framework of a robot

Target Audience

• Software Developers
• Engineers
• Hobbyists

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Important Notes

• The instructor will specify the hardware kits prior to the training, which will typically include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and cables
• USB cable
• Vehicle kit
• Participants are responsible for purchasing their own hardware.
• For customized training arrangements, please contact us.

Buildroot is an open-source project that provides scripts to generate a cross-compilation toolchain, a customizable root filesystem image, and a Linux kernel tailored for embedded devices. In this hands-on course, participants will learn how to utilize these capabilities:

• Selecting the software packages to include in the root filesystem.
• Adding new packages and modifying existing ones.
• Adding support for new embedded hardware boards.

Participants will produce bootable filesystem images during the course. Remote sessions utilize the QEMU emulator, while in-person classes may use either QEMU or actual embedded boards selected by the instructor.

Other projects with similar objectives include the Yocto project and OpenWRT. Please review these presentations to help determine which solution best fits your specific requirements.

This instructor-led, live training in South Korea (online or onsite) is designed for 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:

• Set up 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 (available online or on-site) is designed for C developers who wish to master the design principles of embedded C.

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

• Grasp the design considerations that ensure the reliability of embedded C programs
• Define the functionality of an embedded system
• Establish the program logic and structure to achieve desired outcomes
• Design a reliable, error-free embedded application
• Maximize performance on the 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 South Korea (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 South Korea (online or onsite) is designed for automotive engineers and embedded systems developers at an intermediate level 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

This course aims to provide a comprehensive understanding of the core principles of embedded GNU/Linux, demonstrating how its various components integrate. It outlines the essential elements required to construct an embedded GNU/Linux system, identifying sources for these components and detailing the processes for their configuration, building, and installation. Additionally, it addresses resources for support and considerations regarding software licensing. Practical, hands-on exercises equip you with the requisite skills to independently develop your own embedded GNU/Linux systems upon successful completion of this training.

Description

Over five days, this training class blends instruction with practical exercises to elucidate the concepts of embedded GNU/Linux, designed to accelerate your proficiency. The course covers the underlying philosophy, key concepts, and essential commands for leveraging GNU/Linux effectively, delivered through a mix of theoretical knowledge and practical application.

Instead of starting from scratch, benefit from the expertise of an experienced instructor and gain actionable knowledge of GNU/Linux, enabling you to apply it effectively within your own embedded development projects.

Who should attend?

This course is suitable for managers, project managers, software, hardware, development, and systems engineers, testers, administrators, technicians, and other professionals interested in the technology. It is ideal for those who wish to quickly understand how Embedded GNU/Linux operates, particularly if you currently use GNU/Linux or have the opportunity to evaluate its suitability for your needs. It is also relevant for individuals who have attempted to use Embedded GNU/Linux but are uncertain about best practices, or those currently using a different operating system who wish to assess whether GNU/Linux offers a more effective or cost-efficient alternative.

Delivery Options

While all training materials are provided in English, the instruction can be delivered in English or German, according to your preference, available worldwide.

• On-site - instructor-led
• Online - instructor-led
• Hybrid (On-site/Online) - instructor-led

In this instructor-led live training, participants will learn how to code using FreeRTOS by stepping 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 South Korea (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers who want to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

Upon completing this training, participants will be able to:

• Grasp the core concepts of TinyML and its advantages for edge AI applications.
• Establish a development environment tailored for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Leverage TensorFlow Lite and Edge Impulse to build real-world TinyML solutions.
• Enhance AI models for improved power efficiency and to meet memory limitations.

In this instructor-led, live training in South Korea, 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.