Embedded System Programme Training Course

This instructor-led, live training in Serbia (online or onsite) is designed for engineers eager to master embedded C programming for various microcontrollers based on diverse processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led, live training in Serbia, participants will learn how to program Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. The course requires the use of real hardware components within 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 add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend Arduino's functionality.
• Understand various programming language options, ranging from C to drag-and-drop interfaces.
• Test, debug, and deploy Arduino solutions to address real-world challenges.

This instructor-led, live training in Serbia (online or onsite) is aimed at 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 Serbia (online or onsite) is tailored for engineers and scientists who aim to learn and apply DSP implementations to efficiently manage 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 Serbia (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, offered in Serbia (online or onsite), targets intermediate-level automotive engineers and embedded systems developers aiming to master the theoretical aspects of ECUs, emphasizing Vector-based tools and methodologies 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 course explores modern C language dialects (C99, C11, C2x) as they apply to embedded programming, providing guidelines for efficient and error-resistant coding practices. All examples and exercises are implemented on microcontrollers from the STM32 family.

In this instructor-led live training in Serbia, 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 fundamental concepts of real-time operating systems.
• Familiarize themselves with the FreeRTOS environment.
• Learn how to write code using FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

This instructor-led live training in Serbia (online or on-site) targets FPGA developers who want 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.

This instructor-led, live training in Serbia (online or on-site) is designed for intermediate-level embedded systems engineers and AI developers aiming 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 principles 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.
• Leverage TensorFlow Lite and Edge Impulse to build real-world TinyML solutions.
• Optimize AI models to meet power efficiency and memory limitations.

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

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

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

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

• Configure an Integrated Development Environment (IDE) to maximize development productivity.
• Program the Raspberry Pi to control devices such as motion sensors, alarms, web servers, and printers.
• Grasp the architecture of the Raspberry Pi, including its inputs and connectors for add-on devices.
• Understand the various 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

Format of the course

• A mix of lectures, discussions, exercises, and intensive hands-on practice.

Note

• The Raspberry Pi supports a wide range of operating systems and programming languages. This course will utilize Linux-based Raspbian as the operating system and Python as the programming language. For a specific setup, please contact us to arrange.
• Participants are responsible for purchasing the Raspberry Pi hardware and components themselves.

This instructor-led, live training in Serbia (online or onsite) targets 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.

This course explores the common serial interfaces utilized in embedded systems, along with practical implementation details. The theoretical overview is supported by hands-on exercises employing STM32 microcontrollers.

This course introduces the fundamental principles of USB device programming and demonstrates the practical application of STM32CubeIDE in designing firmware for USB devices.