FPGA Design for Embedded Systems Training Course

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

In this instructor-led live training in Slovakia, participants will learn how to program 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.

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

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

• Construct and operate a robotic system incorporating both software and hardware elements
• Grasp the fundamental concepts underlying robotic technologies
• Integrate motors, sensors, and microcontrollers to create a functional robot
• Design the mechanical framework of a robot

Audience

• Developers
• Engineers
• Hobbyists

Course Format

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

Notes

• The instructor will specify the required hardware kits prior to the training. These kits 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 required to purchase their own hardware.
• For those interested in customizing this training, please contact us to make arrangements.

This instructor-led live training in Slovakia (online or onsite) targets engineers and scientists who wish to learn and apply DSP implementations to efficiently handle diverse signal types and achieve better control over multi-channel electronic systems.

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

• Set up and configure the required software platform and tools for Digital Signal Processing.
• Understand the foundational concepts and principles of DSP and its applications.
• Recognize DSP components and apply them in electronic systems.
• Generate algorithms and operational functions using DSP outcomes.
• Utilize basic features of DSP software platforms and design signal filters.
• Synthesize DSP simulations and implement various filters for DSP.

This instructor-led, live training in Slovakia (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 Slovakia (online or onsite) targets intermediate-level automotive engineers and embedded systems developers who want to grasp the theoretical foundations of ECUs, with a focus on Vector-based tools and methodologies employed in automotive design and development.

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

• Comprehend the architecture and functionality of ECUs in contemporary vehicles.
• Analyze the communication protocols utilized 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 applied to embedded systems, providing guidelines for developing efficient and robust code. Practical examples and exercises are implemented using STM32 family microcontrollers.

In this instructor-led live training in Slovakia, 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 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 course provides an introduction to RTOS-based software design for embedded systems and IoT. Participants will learn RTOS concepts, synchronization mechanisms, and software design scenarios using RTOS. The exercises are performed using STM32 Nucleo 144 or similar development boards.

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers who want to deploy machine learning models on microcontrollers utilizing 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 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.
• Optimize AI models to meet power efficiency and memory constraints.

Design and develop USB device firmware on STM32 microcontrollers using STM32CubeIDE. This embedded Systems training explores USB interface fundamentals, device classes, USB descriptors, control interfaces, middleware architecture, and interrupt-driven code structure through hands-on exercises building HID, CDC, and Mass storage devices. Embedded developers gain the practical expertise to integrate USB peripherals into ARM-based firmware projects from prototype to production-ready results.

In this instructor-led live training located in Slovakia, participants will learn how to establish 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.