Embedded Systems Training in Turin

Rust for Embedded Systems concentrates 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 Turin (online or onsite) is designed for 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.

Upon completing this training, participants will be able to:

• Configure a development environment for Rust-based embedded systems programming.
• Understand and operate microcontrollers and their peripherals using Rust.
• Write efficient and reliable code tailored for resource-constrained embedded systems.
• Manage concurrency and real-time requirements within embedded applications.
• Interface with hardware and utilize low-level abstractions in Rust.
• Implement power management and low-power optimization techniques in embedded systems.

This instructor-led, live training in Turin (online or onsite) targets 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:

• Comprehend the role and function of ECUs within automotive systems.
• Set up and configure Vector tools, including CANoe and CANape.
• Simulate and test ECU communication over 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 Turin (online or on-site) is designed for intermediate-level automotive engineers and embedded systems developers who wish 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 Turin (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers who aim 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 core principles 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.
• Leverage TensorFlow Lite and Edge Impulse to build practical TinyML solutions.
• Enhance AI models for better power efficiency and to meet memory limitations.

Embedded systems are specialized computing devices designed to execute specific tasks within larger frameworks. IoT (Internet of Things) refers to a network of physical devices equipped with sensors and software, enabling them to communicate and share data via the internet.

This instructor-led live training, available either online or on-site, targets technical professionals at the beginner level who aim to grasp and apply embedded systems and IoT concepts using C programming and microcontroller architectures.

Upon completing this training, participants will be capable of:

• Comprehending the architecture and components of embedded systems.
• Writing and compiling C code to facilitate interaction with embedded hardware.
• Utilizing microcontroller peripherals, including timers and ADCs.
• Understanding the role of embedded systems within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

In this instructor-led, live training in Turin, 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 Turin (online or onsite) is designed for engineers who want to learn how to use 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 Turin, 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 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.

During this instructor-led live training, participants will acquire the skills necessary to construct a robot utilizing Arduino hardware and the Arduino (C/C++) programming language.

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

• Constructing and operating a robotic system that integrates both software and hardware elements
• Grasping the fundamental concepts underpinning robotic technologies
• Integrating motors, sensors, and microcontrollers to create a functional robot
• Designing the mechanical framework of a robot

Target Audience

• Developers
• Engineers
• Enthusiasts

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Important Note

• The instructor will provide specific details regarding 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 chassis kit
• Participants are responsible for purchasing their own hardware.
• For customized training options, please get in touch with us to arrange a session.

Is C++ appropriate for embedded environments like microcontrollers and real-time operating systems?

Should object-oriented programming be applied to microcontrollers?

Is C++ too abstracted from the hardware to achieve efficiency?

This instructor-led, live training tackles these questions, illustrating through discussion and practical exercises how C++ can be utilized to build embedded systems with code that is precise, readable, and efficient. Participants will apply theoretical knowledge by developing a sample embedded application in C++.

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

• Grasp the principles of object-oriented modeling, embedded software programming, and real-time programming
• Generate code for embedded systems that is compact, fast, and secure
• Prevent code bloat caused by templates, exceptions, and other language features
• Identify 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

• A mix of lectures, discussions, exercises, and extensive hands-on practice

This instructor-led, live training in Turin (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:

• 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 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:

• Understand the design factors that contribute to the reliability of embedded C programs
• Define the functionality of an embedded system
• Define the program logic and structure to achieve the desired outcomes
• Design reliable, error-free embedded applications
• Optimize performance on the target hardware

Course Format:

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

Customization Options:

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

This two-day program is comprised of approximately 60% hands-on labs, centered on the internal workings, architecture, and development of the Embedded Linux kernel. Participants will explore techniques for writing and integrating various types of device drivers.

Who should attend?

This course is designed for engineers who wish to engage in Linux kernel development within embedded systems and platforms.

Develop embedded Linux systems from the ground up 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.

This training aims to introduce C++ as a natural extension of C for object-oriented embedded system development. Since C++ encompasses C, the course guides participants from C to C++ in a seamless manner, exploring the underlying implementation mechanisms. This insight is particularly valuable when applying C++ in resource-constrained embedded environments. With the C++ standard undergoing significant revisions—specifically C++11, with C++14 following shortly—this course covers essential new features such as high-performance memory management, concurrency in multicore environments, and bare-metal, hardware-proximate programming.

GOAL/BENEFITS

The primary objective of this class is to enable you to use C++ in a "correct" manner.

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

AUDIENCE/PARTICIPANTS

This training is designed for C++ programmers who wish to begin using C++ in an embedded system context.

PREVIOUS KNOWLEDGE

The course requires basic knowledge of C++ programming, equivalent to our "C++ – Level 1" and "C++ Level 2 – Introducing C++11" trainings.

PRACTICAL EXERCISES

During the training, you will practice the presented concepts through a series of exercises. We will use the open and free integrated development environment provided by Eclipse.

This instructor-led live training in Turin (online or onsite) is designed for engineers who want to build high-performance embedded systems using FPGAs.

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

• Install and configure the necessary FPGA software tools to design and simulate embedded systems.
• Choose the optimal FPGA architecture for a specific application.
• Create and improve various FPGA designs.

In this instructor-led live training in Turin, participants will learn how to code using 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.
• Learn how to code with FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

Model-Based Development (MBD) is a software engineering approach that facilitates the quicker and more economical creation of dynamic systems, including control, signal processing, and communication solutions. It leverages graphical modeling as opposed to conventional text-based coding.

During this instructor-led live training, attendees will discover how to implement MBD methodologies to cut development expenses and speed up the market launch of their embedded software products.

Upon completion of this training, participants will be capable of

• Choosing and employing appropriate tools for MBD implementation.
• Leveraging MBD to facilitate rapid development during the initial phases of embedded software projects.
• Accelerating the market release of their embedded software.

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

This instructor-led live training in Turin (available online or onsite) targets engineers seeking 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).
• Secure data using Data Protection technologies (2 days).

This instructor-led, live training in Turin (online or onsite) is aimed at developers who wish to use C to apply object-oriented programming techniques and improve 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 on-site) is intended for embedded engineers and system administrators seeking to build, customize, and deploy OpenBMC firmware for server management.

This instructor-led, live training in (online or onsite) is aimed at 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 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 either online or on-site, is designed for embedded Linux developers looking to master the OpenBMC build system, customize layer structures, and produce production-ready BMC firmware images.

PCB (Printed Circuit Board) circuit design involves the process of creating, etching, and printing circuits onto signal board layouts. EAGLE is a freely available desktop application used for designing PCBs.

During this instructor-led live training, participants will learn to utilize the Eagle software to create PCB circuit boards. The course begins by analyzing existing schematics, then proceeds to design an original circuit in Eagle. The training guides you through the circuit board design process and discusses the methods for manufacturing boards (note: the physical manufacturing of boards is not included in this course).

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

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Notes

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

In this instructor-led live training in Turin, 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, exploring its syntax, memory management, application development, and advanced capabilities. Participants will acquire practical experience with Zig’s distinctive approach to safety, performance, and interoperability, establishing it as a compelling alternative to C and Rust. The curriculum features practical exercises designed to reinforce learning and instill confidence in writing efficient, reliable Zig code.