Model Based Development for Embedded Systems Training Course

This instructor-led, live training in Romania (online or onsite) is designed for engineers seeking to master the use of embedded C for programming diverse microcontrollers across various processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led live training in Romania, participants will learn how to program Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. This course requires the use of real hardware components in a live lab environment, rather than software-simulated hardware.

Upon completing 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 adding peripherals.
• Integrate third-party components like LCDs, accelerometers, gyroscopes, and GPS trackers to expand Arduino's capabilities.
• Explore various programming language options, ranging from C to drag-and-drop interfaces.
• Test, debug, and deploy Arduino solutions to address real-world challenges.

Buildroot is an open-source project that provides scripts to generate 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 Romania (online or onsite) targets engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize electrical component properties for hardware functionality.

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

• Set up and configure the necessary tools and programs for circuit and board development.
• Understand the basic principles behind circuits and electronics engineering.
• Utilize primary electronic components in constructing efficient computer hardware technologies.
• Optimize electronic devices by implementing circuit analysis methods.
• Apply the fundamentals of electronics and circuits to the development of enterprise applications.

This instructor-led, live training in Romania (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:

• 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 in Romania (online or onsite) is designed for intermediate-level automotive engineers and technicians seeking hands-on experience in testing, simulating, and diagnosing ECUs using Vector tools like CANoe and CANape.

Upon completion of this training, participants will be able to:

• Grasp the role and function of ECUs within automotive systems.
• Set up and configure Vector tools like CANoe and CANape.
• Simulate and test ECU communication on CAN and LIN networks.
• Analyze data and perform diagnostics on ECUs.
• Develop test cases and automate testing workflows.
• Calibrate and optimize ECUs using practical methodologies.

This instructor-led, live training in Romania (online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers seeking 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.

This instructor-led live training in Romania (online or onsite) is aimed at FPGA developers who wish to use Vivado to design, debug, and implement hardware solutions.

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

• Develop HDL systems with C code and Vivado tools.
• Generate and implement soft processors in Vivado.
• Test and simulate C code using Vivado.

The LEDE Project (Linux Embedded Development Environment) is a Linux operating system derived from OpenWrt. It serves as a comprehensive alternative to vendor-provided firmware for numerous wireless routers and non-network devices.

During this instructor-led live training, participants will learn how to configure a LEDE-based wireless router.

Audience

• Network administrators and technicians

Course Format

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

This instructor-led, live training in Romania (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. <\/p>

Upon completing this training, participants will be able to: <\/p>

• Comprehend the core principles of TinyML and its advantages for edge AI applications. <\/li>
• Configure a development environment tailored for TinyML projects. <\/li>
• Train, optimize, and deploy AI models on low-power microcontrollers. <\/li>
• Leverage TensorFlow Lite and Edge Impulse to create real-world TinyML solutions. <\/li>
• Optimize AI models to meet power efficiency requirements and memory limitations. <\/li> <\/ul>

This instructor-led, live training in Romania (online or onsite) is designed for engineers seeking to master the design principles of microcontrollers.

The Raspberry Pi is a compact, single-board computer.

In this instructor-led live training, attendees will learn how to configure and code the Raspberry Pi to function as an interactive and robust embedded system.

Upon completion of this training, participants will be able to:

• Configure an IDE (Integrated Development Environment) to maximize development efficiency
• Coding the Raspberry Pi to manage devices like motion detectors, alarms, web servers, and printers.
• Comprehend the Raspberry Pi architecture, including input ports and connectors for peripheral devices.
• Understand the diverse range of programming languages and operating system options available.
• Test, debug, and deploy the Raspberry Pi to address real-world challenges

Audience

• Developers
• Hardware/software technicians
• Technical professionals across all sectors
• Hobbyists

Course Format

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

Note

• Raspberry Pi supports various operating systems and programming languages. This course will utilize the Linux-based Raspbian operating system and Python as the programming language. For specific setup requirements, please contact us.
• Participants must purchase their own Raspberry Pi hardware and components.

This instructor-led, live training in Romania (online or onsite) is designed for engineers who wish to write, load, and execute machine learning models on compact embedded devices.

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

• Install TensorFlow Lite.
• Load machine learning models onto an embedded device to enable capabilities such as speech detection and image classification.
• Incorporate AI into hardware devices without the need for network connectivity.

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

Description

This four-day training blends theoretical concepts with practical exercises to provide an introduction to the Yocto Project.
It addresses common questions such as:

• Is it truly necessary to utilize a distinct version of the toolchain, libraries, and packages for every GNU/Linux project, and must one adhere to a different workflow as a result?
• Can you guarantee that the development environment remains consistent across all developers and suppliers, ensuring that identical builds can be reproduced today and in over ten years’ time?
• Can the YP assist in identifying the software licenses associated with the packages you utilize?

Hands-on sessions are conducted on target hardware (e.g., Beagle Bone Black Rev. C - http://beagleboard.org/BLACK). Upon completion of the training, you will receive a Docker image containing Ubuntu 14.x with all dependencies pre-installed, along with the necessary examples, allowing you to engage with the course material in your own lab environment. Please note that this is not an introductory course on Embedded GNU/Linux. You should already possess a solid understanding of how Embedded GNU/Linux functions and be capable of configuring and building the GNU/Linux kernel and its drivers.

Who should attend?

This course is designed for individuals who already use GNU/Linux in their projects and have likely heard about the Yocto Project but have hesitated to explore it further or have encountered difficulties when using it. You may be unsure if and how your daily workflow can integrate with the YP and generally find the YP complex. You might ask, "Why do we need all this when everything was previously (supposedly) much simpler?" After completing the training, you will be better equipped to decide whether the YP is suitable for your needs. The workshop is aimed at software developers, system engineers, testers, administrators, and other professionals with a strong background in Embedded GNU/Linux.