Embedded Systems Training in Dobrogea

Rust for Embedded Systems focuses on applying intermediate-level Rust to resource-constrained, low-level hardware environments, covering toolchains, safety patterns, real-time concerns, and deployment workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level Rust developers and embedded engineers who wish to build safe, reliable firmware using Rust.

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

• Set up and configure a Rust embedded toolchain and debug environment.
• Write idiomatic, memory-safe firmware using no_std and embedded-hal abstractions.
• Design and implement concurrency and interrupt-safe code in Rust.
• Deploy, debug, and benchmark Rust firmware on real hardware.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using physical or simulated hardware.
• Guided exercises with incremental code build-up and live debugging sessions.

Course Customization Options

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

This instructor-led, live training in Dobrogea (online or onsite) is targeted at developers and embedded systems engineers who want to utilize Rust for embedded systems programming and acquire the necessary skills to create robust and efficient embedded applications.

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

• Set up a development environment for Rust embedded systems programming.
• Understand and work with microcontrollers and their peripherals using Rust.
• Write efficient and reliable code for resource-constrained embedded systems.
• Handle concurrency and real-time requirements in embedded applications.
• Interface with hardware and use low-level abstractions in Rust.
• Apply power management and low-power optimization techniques in embedded systems.

This instructor-led, live training in Dobrogea (online or onsite) is designed for intermediate-level automotive engineers and technicians seeking hands-on experience in testing, simulating, and diagnosing ECUs using Vector tools like CANoe and CANape.

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

• Grasp the role and function of ECUs within automotive systems.
• Set up and configure Vector tools like CANoe and CANape.
• Simulate and test ECU communication on CAN and LIN networks.
• Analyze data and perform diagnostics on ECUs.
• Develop test cases and automate testing workflows.
• Calibrate and optimize ECUs using practical methodologies.

This instructor-led, live training in Dobrogea (online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers seeking to understand the theoretical aspects of ECUs, focusing on 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 in Dobrogea (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers who want to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse. <\/p>

Upon completing this training, participants will be able to: <\/p>

• Comprehend the core principles of TinyML and its advantages for edge AI applications. <\/li>
• Configure a development environment tailored for TinyML projects. <\/li>
• Train, optimize, and deploy AI models on low-power microcontrollers. <\/li>
• Leverage TensorFlow Lite and Edge Impulse to create real-world TinyML solutions. <\/li>
• Optimize AI models to meet power efficiency requirements and memory limitations. <\/li> <\/ul>

Embedded systems are specialized computing devices engineered to execute specific tasks within broader systems. The Internet of Things (IoT) refers to a network of physical devices equipped with sensors and software that connect, communicate, and share data via the internet.

This instructor-led live training, available online or on-site, targets beginner-level technical professionals aiming to grasp and apply embedded systems and IoT principles using C and microcontroller architectures.

Upon completing this course, participants will be capable of:

• Comprehending the architecture and components of embedded systems.
• Writing and compiling C code for direct embedded hardware interaction.
• Operating microcontroller peripherals, such as timers and ADCs.
• Understanding the role of embedded systems within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live-lab setting.

Customization Options

• To arrange a customized training session for this course, please get in touch with us.

In this instructor-led live training in Dobrogea, 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 Dobrogea (online or onsite) is designed for engineers seeking to master the use of embedded C for programming diverse microcontrollers across various processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led live training in Dobrogea, 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 real hardware components in 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 adding peripherals.
• Integrate third-party components like LCDs, accelerometers, gyroscopes, and GPS trackers to expand Arduino's capabilities.
• Explore 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 guides participants through the process of building a robot using Arduino hardware and the Arduino (C/C++) programming language.

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

• Assemble and operate a robotic system integrating both software and hardware elements
• Comprehend the fundamental concepts underpinning 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

Note

• The instructor will specify the hardware kits prior to the training. These kits will generally 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 customized training options, please contact us to make arrangements.

Is C++ suitable for embedded systems such as microcontrollers and real-time-operating-systems?

Should object-oriented-programming be used in microcontrollers?

Is C++ too far removed from the hardware to be efficient?

This instructor-led, live training addresses these questions and demonstrates through discussion and practice how C++ can be used to develop embedded systems with code that is accurate, readable, and efficient. Participants put theory into practice through the creation of a sample embedded application in C++.

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

• Understand the principles of object-oriented modelling, embedded software programming and real-time programming
• Produce code for embedded systems that is small, fast and safe
• Avoid code bloat from templates, exceptions, and other language features
• Understand the issues related to using C++ in safety-critical and real-time systems
• Debug a C++ program on a target device

Audience

• Developers
• Designers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in Dobrogea (online or onsite) is aimed at engineers and scientists who wish to learn and apply DSP implementations to efficiently handle 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, available both online and onsite, is designed for C developers who wish to master the principles of embedded C design.

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

• Grasp the design considerations that ensure reliability in embedded C programs
• Define the functionality of an embedded system
• Establish program logic and structure to achieve desired outcomes
• Design a reliable, error-free embedded application
• 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 make arrangements.

This two-day course is designed with approximately 60% hands-on labs, focusing on the internals, architecture, and development of the Embedded Linux kernel. Participants will explore how to write and integrate various types of device drivers.

Target Audience

The course is intended for engineers interested in Linux kernel development for embedded systems and platforms.

Gain the ability to create embedded Linux systems from scratch by leveraging industry-standard cross-development tools and engaging in practical projects. Over the course of two days, the curriculum explores the history of Linux, open-source development models, bootloaders, system construction, build systems, and application debugging. With 60% of the time dedicated to hands-on practice, participants will configure bootloaders, compile toolchains, construct filesystems, and perform real-world embedded Linux development tasks.

This training introduces C++ as a robust extension of C for object-oriented embedded system development. Since C++ encompasses C, the course guides participants naturally from C to C++, exploring the underlying mechanisms of C++ implementation. This insight is particularly valuable when applying C++ in resource-constrained embedded environments. With the C++ standard undergoing significant updates, including the introduction of C++11 and the upcoming C++14, this course focuses on key features that enhance performance and efficiency. Topics include high-performance memory management, concurrency in multicore environments, and bare-metal programming for direct hardware interaction.

OBJECTIVES AND BENEFITS

The primary goal of this course is to equip you with the ability to use C++ effectively and correctly.

• Introduce C++ as an object-oriented alternative in the context of embedded systems
• Highlight the similarities and differences between C++ and C
• Understand various memory management strategies, particularly move semantics introduced in C++11
• Explore the inner workings of C++ to understand how different paradigms translate into machine code
• Utilize templates to create type-safe, high-level abstractions for bare-metal programming, including memory-mapped I/O and interrupts, with a focus on variadic templates from C++11
• Present useful design patterns applicable to embedded contexts
• Provide practical exercises to reinforce key concepts

TARGET AUDIENCE

This training is designed for C++ programmers who wish to apply C++ in embedded system development.

PREREQUISITES

The course assumes basic knowledge of C++ programming, equivalent to our 'C++ – Level 1' and 'C++ Level 2 – Introducing C++11' training modules.

PRACTICAL EXERCISES

Participants will engage in exercises to practice the concepts presented during the training. We will utilize the open-source and free integrated development environment provided by Eclipse.

This instructor-led live training in Dobrogea (available online or onsite) targets engineers who want to design high-performance embedded systems using FPGA.

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

• Install and configure the FPGA software tools required for designing and simulating an embedded system.
• Select the most appropriate FPGA architecture for a given application.
• Develop and refine various FPGA designs.

In this instructor-led live training in Dobrogea, 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:

• Understand the basic concepts of real-time operating systems.
• Learn about the FreeRTOS environment.
• Learn how to code with FreeRTOS.
• Interface a FreeRTOS application to hardware peripherals.

Model-Based Development (MBD) is a software engineering approach that facilitates faster, more cost-efficient creation of dynamic systems, including control systems, signal processing, and communication systems. It emphasizes graphical modeling as an alternative to traditional text-based programming.

Through this instructor-led live training, participants will discover how to apply MBD methodologies to lower development costs and speed up the time-to-market for their embedded software products.

Upon completion of this training, participants will be capable of:

• Selecting and employing appropriate tools to implement MBD.
• Leveraging MBD to enable rapid development during the early phases of embedded software projects.
• Reducing the time required to bring embedded software solutions to market.

Course Format

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

This instructor-led, live training in Dobrogea (online or onsite) is aimed at engineers who wish to implement NetApp ONTAP.

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

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

This instructor-led live training, available in Dobrogea (online or onsite), targets developers who want to leverage C for applying object-oriented programming techniques and enhancing software design.

By the end of this training, participants will be able to implement object-oriented concepts in C, design modular applications, apply encapsulation and abstraction, and structure maintainable codebases.

This instructor-led live training, offered online or onsite, is designed for embedded engineers and system administrators looking to build, customize, and deploy OpenBMC firmware for server management.

This instructor-led, live training (available online or onsite) is designed for hardware validation and system test engineers looking to implement, test, and troubleshoot IPMI and sensor management on OpenBMC platforms.

This instructor-led, live training (available online or onsite) is aimed at security engineers and firmware developers who wish to harden OpenBMC deployments against unauthorized access and firmware tampering.

This instructor-led, live training (available online or onsite) is aimed at embedded Linux developers who wish to master the OpenBMC build system, customize layers, and create production-ready BMC firmware images.

Printed Circuit Board (PCB) design involves the creation, etching, and printing of circuits onto signal board layouts. Eagle is a widely used desktop application that allows users to design PCBs.

During this instructor-led live training, participants will learn how to utilize the Eagle software to design PCB circuit boards. The course begins by reviewing existing schematics, followed by creating an original circuit using Eagle. The training walks through the design process for the circuit board and discusses the steps involved in manufacturing the boards (note that the course does not cover the physical manufacturing of the boards).

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

• Create a Printed Circuit Board (PCB) from any schematic
• Create schematics and design circuit boards using Eagle
• Export industry-standard files required for constructing the circuit board

Audience

• Engineers
• Technicians

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice

Notes

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

In this instructor-led, live training in Dobrogea, 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.

This course offers a thorough introduction to the Zig programming language, addressing its syntax, memory management, application development, and advanced features. Participants will acquire practical experience with Zig's distinctive approach to safety, performance, and interoperability, positioning it as a robust alternative to C and Rust. The curriculum includes practical exercises designed to reinforce learning and build confidence in crafting efficient, reliable Zig programs.