Object Oriented Programming with C++ Training Course

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.

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 (available online or on-site) is designed for C developers who want to master the principles of embedded C design.

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

• Grasp the design considerations essential for creating reliable embedded C programs
• Define the functionality of an embedded system
• Establish the program logic and structure required to achieve desired outcomes
• Design robust, error-free embedded applications
• Optimize performance on target hardware

Course Format:

• Interactive lectures and discussions
• Exercises and practical practice
• Hands-on implementation in a live lab environment

Customization Options:

• To request customized training for this course, please contact us to arrange.

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 two-day course comprises approximately 60% hands-on labs, focusing on Embedded Linux kernel internals, architecture, and development, while exploring the process of writing and integrating various types of device drivers.

Who should attend?

Engineers interested in Linux kernel development on Embedded systems and platforms.

Gain the skills to construct embedded Linux systems from scratch using industry-standard cross-development tools and practical projects. This two-day course explores Linux history, open-source development models, bootloaders, custom system building, build systems, and application debugging. With 60% of the time dedicated to hands-on practice, participants will configure bootloaders, compile toolchains, create filesystems, and perform real-world embedded Linux development tasks.

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.

The RISC-V ecosystem has evolved from a niche open-source Instruction Set Architecture (ISA) into a mainstream architecture with significant momentum across edge computing, IoT, automotive, AI acceleration, and server-class processors. Industry reports highlight a critical talent shortage: fewer than 5,000 RISC-V chip designers exist globally against an estimated 15,000+ open positions in the semiconductor industry. Key hiring trends show employers prioritizing RISC-V architecture proficiency paired with SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain skills. The rise of automotive-grade RISC-V (ISO 26262), server-class processors (AIA interrupt controllers, multi-core coherence), and edge AI inference NPUs represents the fastest-growing competency areas. Companies including SiFive, Qualcomm, and Western Digital have accelerated RISC-V development, driving demand for engineers who can bridge architecture specification, silicon implementation, firmware, and software stack development in a single skill set.

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.