Model Based Development for Embedded Systems Training Course

This instructor-led, live training in Turkey (online or onsite) is designed for engineers who want to master the use of embedded C to program various microcontrollers across different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led live training in Turkey, 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 actual hardware components in a live lab setting (rather than software-simulated hardware).

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

• Program Arduino to control lights, motors, and other devices.
• Gain an understanding of Arduino's architecture, including inputs and connectors for add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to expand Arduino's functionality.
• 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 comprising scripts that 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 leverage Buildroot for the following purposes:

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

Throughout the course, participants will produce bootable filesystem images. Remote sessions utilize the QEMU emulator, while classroom settings allow for the use of either QEMU or actual embedded boards selected by the instructor.

Other projects with similar objectives include the Yocto Project and OpenWRT. Please refer to these presentations to determine which tool best suits your needs.

This instructor-led, live training in Turkey (online or onsite) is designed for engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize properties of electrical components for the development of hardware functionalities.

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

• Set up and configure the necessary tools and programs for circuits and circuit board development.
• Understand the basic principles behind circuits and electronics engineering.
• Utilize the 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 Turkey (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 Turkey (online or onsite) is designed for automotive engineers and technicians at an intermediate level who seek practical experience in testing, simulating, and diagnosing ECUs using Vector tools such as CANoe and CANape.

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

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

This instructor-led live training in Turkey (online or onsite) is designed for intermediate automotive engineers and embedded systems developers seeking to understand the theoretical aspects of ECUs, emphasizing Vector-based tools and methodologies used in automotive design and development.

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

• Understand the architecture and functions of ECUs in modern vehicles.
• Analyze communication protocols utilized 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 Turkey (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-based operating system built upon OpenWrt. It serves as a comprehensive replacement for the default firmware provided by manufacturers across a broad spectrum of wireless routers and non-networking devices.

During this instructor-led live training, participants will acquire the skills needed to configure a LEDE-powered wireless router.

Target Audience

• Network administrators and technicians

Course Format

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

This instructor-led, live training in Turkey (online or onsite) targets intermediate-level embedded systems engineers and AI developers who aim to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

• Grasp the core principles of TinyML and its advantages for edge AI applications.
• Configure 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 practical TinyML solutions.
• Enhance AI models for power efficiency and address memory limitations.

This instructor-led, live training in Turkey (online or onsite) is aimed at engineers who wish to learn the design principles of microcontroller design.

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

Through this instructor-led live training, participants will acquire the skills to configure and program the Raspberry Pi to function as a robust and interactive embedded system.

Upon completion of this training, participants will be capable of:

• Configuring an IDE (integrated development environment) to maximize development efficiency
• Programming the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Gaining a comprehensive understanding of the Raspberry Pi’s architecture, including its inputs and connectors for add-on peripherals.
• Evaluating the available programming languages and operating system options.
• Testing, debugging, and deploying the Raspberry Pi to address real-world challenges.

Audience

• Developers
• Hardware/software technicians
• Technical professionals across various industries
• Hobbyists

Course Format

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

Note

• The Raspberry Pi supports a wide range of operating systems and programming languages. This course utilizes the Linux-based Raspbian operating system and Python as the programming language. To request a specific setup, please contact us.
• Participants are responsible for purchasing the Raspberry Pi hardware and necessary components.

This instructor-led, live training in Turkey (online or onsite) targets engineers aiming to develop, deploy, and operate machine learning models on highly resource-limited embedded devices.

Upon completing this training, participants will be able to:

• Install TensorFlow Lite.
• Deploy machine learning models onto embedded devices to facilitate tasks such as speech detection and image classification.
• Integrate AI capabilities into hardware devices without dependence on network connectivity.

In this instructor-led, live training located in Turkey, 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.

Description

This four-day training blends theoretical instruction with practical exercises to introduce participants to the Yocto Project.
It addresses common questions such as:

• Is it truly necessary to utilize a separate toolchain, library, and package set for every GNU/Linux project, alongside a distinct workflow?
• Can you guarantee that the development environment remains consistent across all developers and suppliers, allowing for the production of identical builds today and in over a decade?
• Can the YP assist in identifying the software licenses governing the packages you utilize?

Practical sessions are conducted on target hardware (e.g., BeagleBone Black Rev. C - http://beagleboard.org/BLACK). Upon completing the training, you will receive a Docker image containing Ubuntu 14.x with all dependencies and examples pre-installed, enabling you to work with the course materials in your own lab environment. Please note that this is not an introductory course for Embedded GNU/Linux. Participants should already possess a foundational understanding of Embedded GNU/Linux, including how to configure and build the GNU/Linux kernel and its drivers.

Who should attend?

This course is designed for individuals who already use GNU/Linux for their projects and have likely heard of the Yocto Project but hesitated to explore it further or encountered difficulties when using it. If you are unsure whether and how the YP can fit into your daily workflow, or if you find the YP overly complex and question the need for it when previous methods seemed simpler, this training will help you decide whether the YP is necessary for your needs. The workshop is intended for software engineers, development engineers, system engineers, testers, administrators, and other interested parties who have a solid knowledge of Embedded GNU/Linux.