Embedded Systems Training in Amersfoort

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 Amersfoort (online or onsite) is aimed at developers and embedded systems engineers who wish to leverage Rust for embedded systems programming and gain the necessary skills to develop 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 Amersfoort (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 Amersfoort (online or onsite) targets 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.

Upon completing this training, participants will be able to:

• Comprehend the architecture and functions of ECUs in contemporary vehicles.
• Analyze communication protocols utilized in ECU development.
• Examine Vector-based tools and their theoretical applications.
• Implement model-based development principles in ECU design.

This instructor-led, live training in Amersfoort (online or onsite) targets 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 capable of:

• Grasping the core principles of TinyML and its advantages for edge AI applications.
• Configuring a development environment suitable for TinyML projects.
• Training, optimizing, and deploying AI models on low-power microcontrollers.
• Leveraging TensorFlow Lite and Edge Impulse to build practical TinyML solutions.
• Enhancing AI models for improved power efficiency and adherence to memory limitations.

Embedded systems are specialized computing architectures engineered to execute specific tasks within broader frameworks. The Internet of Things (IoT) represents a network of physical devices embedded with sensors and software, enabling them to communicate and exchange data via the internet.

This instructor-led live training, available online or on-site, is designed for beginner-level technical professionals seeking to comprehend and apply embedded systems and IoT principles using C programming and microcontroller architectures.

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

• Comprehend the architecture and core components of embedded systems.
• Write and compile C code for interacting with embedded hardware.
• Utilize microcontroller peripherals, including timers and ADCs.
• Understand the role of embedded systems within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

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

This instructor-led, live training in Amersfoort (online or on-site) is designed for engineers who want to learn how to use embedded C to program a variety of microcontrollers based on different processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led live training in Amersfoort, participants will learn how to program Arduino for real-world applications, such as controlling lights, motors, and motion detection sensors. This course requires the use of actual hardware components in a live lab environment, rather than 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.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend Arduino's functionality.
• Understand the various programming language options, ranging from C to drag-and-drop interfaces.
• Test, debug, and deploy Arduino solutions to address real-world problems.

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

Should object-oriented programming be applied in microcontroller environments?

Is C++ too abstracted from the hardware to remain efficient?

This instructor-led live training addresses these questions. Through discussion and practical exercises, it demonstrates how C++ can be utilized to develop embedded systems with code that is accurate, readable, and efficient. Participants will apply theoretical knowledge by creating 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 compact, fast, and safe
• Avoid code bloat resulting from templates, exceptions, and other language features
• Grasp the challenges associated with 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 Amersfoort (online or onsite) is designed for 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:

• Setup 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 online or at your location, is designed for C developers who want to master the design principles specific to embedded C.

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

• Grasp the design considerations that ensure embedded C programs are reliable
• Clearly define the functionality of an embedded system
• Determine the program logic and structure required to achieve desired outcomes
• Design 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 for real-world experience

Customization Options:

• For customized training arrangements, please contact us.

This two-day course comprises approximately 60% practical labs, concentrating on the internal workings of the Embedded Linux kernel, its architecture, development practices, and techniques for writing and integrating various device drivers.

Who should attend?

Engineers keen on developing Linux kernels for Embedded systems and platforms.

Construct embedded Linux systems from scratch using industry-standard cross-development tools and hands-on projects. This two-day course explores the history of Linux, 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.

This training introduces C++ as the natural evolution of C for object-oriented embedded system development. Since C++ is built upon and encompasses C, this course guides you from C to C++ seamlessly, while examining the underlying implementation details. This insight is particularly valuable when implementing C++ in resource-constrained embedded environments. The C++ standard has undergone significant updates with C++11, and C++14 follows shortly after. This course covers key features introduced by these revisions that are especially beneficial, such as high-performance memory management, concurrency in multicore environments, and bare-metal programming close to the hardware.

GOAL/BENEFITS

The primary objective of this class is to enable you to use C++ correctly and effectively.

• Introduce C++ as an object-oriented language alternative within an embedded system context
• Show the similarities and differences with the C language
• Comprehend different memory management strategies, especially the move semantics introduced with C++11
• Look under the hood and understand what different paradigms in C++ lead to in machine code
• Use templates to achieve type-safe high-order abstractions for bare-metal close-to-the-hardware programming, including memory-mapped I/O and interrupts, especially utilizing variadic templates introduced with C++11
• Provide useful design patterns specifically applicable in an embedded context
• Include exercises to practice key concepts

AUDIENCE/PARTICIPANTS

This training is aimed at C++ programmers who intend to start using C++ in an embedded system context.

PREVIOUS KNOWLEDGE

The course requires basic knowledge in C++ programming, corresponding to our trainings “C++ – Level 1” and “C++ Level 2 – Introducing C++11”.

PRACTICAL EXERCISES

During the training you will practice the presented concepts in a number of exercises. We will use the open and free integrated development environment from Eclipse

This instructor-led, live training in Amersfoort (online or on-site) is aimed at engineers who wish to design high-performance embedded systems using FPGA. <\/p>

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

• Install and configure the FPGA software tools needed to design and simulate an embedded system. <\/li>
• Select the best FPGA architecture for an application. <\/li>
• Develop and enhance various FPGA designs. <\/li> <\/ul>

In this instructor-led live training in Amersfoort, participants will learn to code with FreeRTOS by stepping through the development of a simple RTOS project using 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 coding skills specific to FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

This instructor-led, live training in Amersfoort (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).
• Safeguard data through Data Protection technologies (2 days).

This instructor-led live training, available Amersfoort (online or onsite), targets developers who wish to apply object-oriented programming techniques using C to enhance 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 in (online or onsite) is aimed at embedded engineers and system administrators who wish to build, customize, and deploy OpenBMC firmware for server management.

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

This instructor-led, live training (available online or onsite) is designed for 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.

The RISC-V ecosystem has evolved from a niche open-source instruction set architecture (ISA) into a mainstream platform gaining significant traction across edge computing, IoT, automotive, AI acceleration, and server-class processors. Industry analyses highlight a pressing talent gap: with fewer than 5,000 RISC-V chip designers worldwide, there are over 15,000 open positions in the semiconductor sector. Key hiring trends indicate that employers prioritize candidates proficient in RISC-V architecture alongside SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain expertise. The most rapidly growing competency areas include automotive-grade RISC-V (ISO 26262), 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, increasing 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 held in Amersfoort, participants will learn how to create a build system for embedded Linux based on the Yocto Project.

Upon completing this training, participants will be capable of:

• Grasping the core concepts underlying a Yocto Project build system, including recipes, metadata, and layers.
• Constructing a Linux image and executing it within an emulation environment.
• Optimising time and effort when developing embedded Linux systems.

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