Intermediate Rust for Embedded Systems Training Course

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

In this instructor-led, live training in Greece, participants will learn how to program the 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 the Arduino to control lights, motors, and other devices.
• Understand the 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 the 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 Greece (online or onsite) targets engineers and scientists who wish to learn and apply DSP implementations to efficiently manage different signal types and gain enhanced 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 online or onsite) is designed for C developers who wish to master the principles of embedded C design.

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

• Comprehending the design considerations that ensure reliability in embedded C programs
• Specifying the functionality of an embedded system
• Establishing the program logic and structure to achieve desired outcomes
• Creating a reliable and error-free embedded application
• Extracting optimal performance from the target hardware

Course Format:

• Interactive lectures and discussions
• Practical exercises
• Hands-on implementation within a live-lab environment

Customization Options:

• To request tailored training for this course, please contact us to arrange your schedule.

This instructor-led, live training in Greece (online or onsite) is designed for intermediate-level automotive engineers and technicians who want 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 Greece (online or onsite) targets intermediate-level automotive engineers and embedded systems developers aiming to comprehend 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.

Spanning two days, this course allocates approximately 60% of its time to practical labs, delving into Embedded Linux kernel internals, architecture, and development. It also explores the processes for writing and integrating various types of device drivers.

Who should attend?

This course is designed for engineers interested in Linux kernel development for embedded systems and platforms.

Develop 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% hands-on implementation time, participants will configure bootloaders, compile toolchains, construct filesystems, and perform real-world embedded Linux development tasks.

During this instructor-led live training in Greece, 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 fundamental concepts of real-time operating systems.
• Familiarize themselves with the FreeRTOS environment.
• Learn how to write code using FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

This instructor-led, live training in Greece (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 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 tailored for TinyML projects.
• Training, optimizing, and deploying AI models on low-power microcontrollers.
• Utilizing TensorFlow Lite and Edge Impulse to build practical TinyML solutions.
• Enhancing AI models for improved power efficiency and adherence to memory limitations.

This instructor-led, live training in Greece (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).

The RISC-V ecosystem has evolved from a specialized open-source instruction set architecture (ISA) into a dominant mainstream technology with growing adoption across edge computing, IoT, automotive systems, AI acceleration, and high-performance server processors. Industry analyses highlight a significant skills gap: there are fewer than 5,000 RISC-V chip designers worldwide, contrasting with an estimated 15,000 or more open positions in the semiconductor sector. Current hiring trends indicate that employers seek candidates proficient in RISC-V architecture combined with SoC design, RTL verification using UVM and SystemVerilog, AI accelerator development, Rust systems programming, confidential computing, and expertise with open-source toolchains. Rapidly expanding 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. Major companies such as SiFive, Qualcomm, and Western Digital are accelerating their RISC-V initiatives, thereby increasing demand for engineers capable of integrating architecture specification, silicon implementation, firmware, and software stack development within a unified skill set.

In this instructor-led, live training in Greece, participants will learn how to create a build system for embedded Linux based on 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.