Introduction to Embedded Computers Training Course

This instructor-led, live training in Bulgaria (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 Bulgaria, 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 within a live laboratory setting, rather than relying on software-simulated hardware.

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

• Program Arduino to control lights, motors, and other peripheral devices.
• Gain a comprehensive understanding of Arduino's architecture, including its inputs and connectors for expanding functionality with add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to enhance Arduino's capabilities.
• Evaluate various programming language options, ranging from traditional C to visual drag-and-drop environments.
• Test, debug, and deploy Arduino solutions to address real-world challenges.

Buildroot is an open-source project featuring 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 to:

• Select software components to include in the root filesystem.
• Add new packages and modify existing ones.
• Integrate support for new embedded boards.

Throughout the course, participants will produce bootable filesystem images. For remote learning, the QEMU emulator is utilized, while classroom sessions allow for the use of either QEMU or real embedded boards selected by the instructor.

Other projects with similar objectives include the Yocto project and OpenWRT. Participants are encouraged to review these presentations to determine which tool best suits their requirements.

This instructor-led live training in Bulgaria (online or onsite) is designed for engineers and computer scientists who wish to apply the basics of circuits and electronics to design devices and systems that leverage electrical component properties for hardware development.

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 Bulgaria (online or onsite) is tailored for engineers and scientists aiming to learn and apply DSP implementations to efficiently handle diverse 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 core concepts and principles foundational to DSP and its applications.
• Familiarize themselves with DSP components and employ them in electronics systems.
• Generate algorithms and operational functions using 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 Bulgaria (online or onsite) is designed for intermediate-level automotive engineers and technicians aiming to acquire 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 Bulgaria (online or onsite) targets intermediate-level automotive engineers and embedded systems developers who wish to comprehend the theoretical aspects of ECUs, emphasizing 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, available online or onsite, targets FPGA developers who want to leverage Vivado for designing, debugging, and implementing hardware solutions.

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

• Develop HDL systems using 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 the factory-provided firmware for numerous wireless routers and non-network devices.

In this instructor-led live training, participants will learn how to set up a LEDE-based wireless router.

Audience

• Network administrators and technicians

Format of the course

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

This instructor-led, live training in Bulgaria (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers looking to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

• Grasp the fundamentals of TinyML and its advantages for edge AI applications.
• Configure a development environment suitable for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Utilize TensorFlow Lite and Edge Impulse to build real-world TinyML solutions.
• Enhance AI models for better power efficiency and memory utilization.

This instructor-led, live training in Bulgaria (online or onsite) is designed for engineers who want to master the principles of microcontroller design.

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

In this instructor-led live training session, participants will learn how to configure and program the Raspberry Pi to function as an interactive and potent embedded system.

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

• Establish an IDE (integrated development environment) to maximize development productivity
• Program the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Comprehend the Raspberry Pi's architecture, including its inputs and connectors for add-on devices.
• Explore the diverse options available in programming languages and operating systems.
• Test, debug, and deploy the Raspberry Pi to address real-world problems.

Audience

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

Course Format

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

Note

• The Raspberry Pi supports various operating systems and programming languages. This course utilizes a Linux-based Raspbian operating system and Python as the programming language. For a specific setup, please contact us to make arrangements.
• Participants are responsible for purchasing the Raspberry Pi hardware and components.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices.

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

• Install TensorFlow Lite.
• Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
• Add AI to hardware devices without relying on network connectivity.

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

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

• Comprehend the fundamental principles of a Yocto Project build system, including recipes, metadata, and layers.
• Create a Linux image and operate it under emulation.
• Reduce the time and effort required for building embedded Linux systems.

Description

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

• Is it truly necessary to employ a distinct version of the toolchain, libraries, and packages for every GNU/Linux project, alongside a different workflow?
• Can you guarantee that the development environment remains identical for all developers and suppliers, allowing you to reproduce the same builds consistently for the next 10+ years?
• Can the YP assist in identifying the software licenses governing the packages you utilize?

Hands-on sessions are conducted on target hardware (e.g., BeagleBone Black Rev. C - http://beagleboard.org/BLACK). Upon completing the training, you will be provided with a Docker image containing Ubuntu 14.x and all necessary dependencies pre-installed, along with examples, enabling you to engage with the course material in your own lab environment. Please note that this course does not serve as an introduction to Embedded GNU/Linux. Participants should already possess a foundational understanding of how Embedded GNU/Linux operates, including configuring and building the GNU/Linux kernel and its drivers.

Who should attend?

This training is designed for individuals who currently use GNU/Linux for their projects and are aware of the Yocto Project but may have hesitated to explore it in depth or struggled with its implementation. If you are unsure whether and how your daily workflow can integrate with the YP, or if you find the YP overly complex, this course will help you determine if the YP meets your needs. The workshop is tailored for software engineers, developers, system engineers, testers, administrators, and other interested parties who have a solid knowledge of Embedded GNU/Linux.