Object Oriented Programming with C++ 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.

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 guided, live training session, available online or in-person, is designed for C developers looking to master the fundamental principles of embedded C design.

Upon completion of this course, participants will be equipped to:

• Grasp the design considerations essential for creating reliable embedded C software
• Articulate the specific functions of an embedded system
• Establish the necessary program logic and structure to achieve intended outcomes
• Construct robust, error-free embedded applications
• Maximize performance on target hardware platforms

Course Format:

• Interactive lectures and discussions
• Practical exercises and hands-on practice
• Live-lab implementation exercises

Customization Options:

• For those interested in tailoring this course to their specific needs, please reach out to us to arrange a customized training session.

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 intensive two-day program is designed with approximately 60% hands-on laboratory exercises. It delves into the internals and architecture of the Embedded Linux kernel, providing practical guidance on development and the process of writing and integrating various device drivers.

Who should attend?

The course is tailored for engineers who wish to explore Linux kernel development within the context of embedded systems and platforms.

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 construction, build systems, and application debugging. With 60% practical implementation time, participants configure bootloaders, compile toolchains, construct filesystems, and execute real-world embedded Linux development tasks.

In this instructor-led live training in Bulgaria, participants will learn how to code using FreeRTOS by stepping through the development of a simple RTOS project on a microcontroller.

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

• Grasp the fundamental concepts of real-time operating systems.
• Familiarize themselves with the FreeRTOS environment.
• Acquire skills in coding with FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

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) targets engineers who wish to implement NetApp ONTAP.

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

• Set up and administer an ONTAP 9.3 Cluster (3 days).
• Protect data through Data Protection technologies (2 days).

The RISC-V ecosystem has evolved from a niche open-source instruction set architecture (ISA) into a mainstream architectural choice, gaining significant traction across edge computing, IoT, automotive, AI acceleration, and server-class processors. Industry reports highlight a pressing talent deficit: with fewer than 5,000 RISC-V chip designers globally and over 15,000 open positions in the semiconductor sector, there is a clear supply gap. Current hiring trends indicate that employers prioritize candidates proficient in RISC-V architecture, alongside skills in SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain management. The fastest-growing competency areas include automotive-grade RISC-V (ISO 26262 compliance), server-class processors (featuring AIA interrupt controllers and multi-core coherence), and edge AI inference NPUs. Companies such as SiFive, Qualcomm, and Western Digital are accelerating RISC-V development, intensifying the demand for engineers capable of bridging architecture specification, silicon implementation, firmware, and software stack development within a unified skill set.

In this instructor-led live training in Bulgaria, participants will learn how to create 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.