Embedded Linux Kernel and Driver Development Training Course

In this instructor-led, live training in Italy, 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 Italy (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 Italy, 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.

This instructor-led, live training in Italy (online or onsite) is aimed at engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize properties of electrical components for the development of hardware functionalities.

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

• Set-up and configure the necessary tools and programs for circuits and circuit board development.
• Understand the basic principles behind circuits and electronics engineering.
• Utilize the primary electronic components in constructing efficient computer hardware technologies.
• Optimize electronic devices by implementing circuit analysis methods.
• Apply the fundamentals of electronics and circuits to the development of enterprise applications.

This instructor-led, live training in Italy (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, live training in Italy (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 Italy (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.

In this instructor-led live training in Italy, 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.

This instructor-led, live training in Italy (online or onsite) is designed for FPGA developers who wish to use Vivado to design, debug, and implement hardware solutions.

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

• Develop HDL systems with C code and Vivado tools.
• Generate and implement soft processors in Vivado.
• Test and simulate C code using Vivado.

This instructor-led, live training in Italy (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.

This instructor-led, live training in Italy (online or onsite) is designed for engineers seeking to master the design principles of microcontrollers.

The Raspberry Pi is a compact, single-board computer.

Through this instructor-led live training, participants will learn how to configure and program the Raspberry Pi to function as an interactive and robust embedded system.

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

• Configure an IDE (Integrated Development Environment) to optimize development productivity.
• Program the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Grasp the Raspberry Pi's architecture, including input/output ports and connectors for add-on devices.
• Evaluate the available options regarding programming languages and operating systems.
• Test, debug, and deploy the Raspberry Pi to address real-world challenges.

Audience

• Developers
• Hardware and software technicians
• Technical professionals across all industries
• Hobbyists

Format of the course

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

Note

• The Raspberry Pi supports various operating systems and programming languages. This course utilizes Linux-based Raspbian as the operating system and Python as the programming language. To request a different setup, please contact us to arrange.
• Participants are responsible for purchasing their own Raspberry Pi hardware and components.

This instructor-led, live training in Italy (online or onsite) is designed for engineers aiming to write, load, and run machine learning models on compact embedded devices.

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

• Install TensorFlow Lite.
• Load machine learning models onto an embedded device to enable speech detection, image classification, and similar functions.
• Integrate AI into hardware devices without relying on network connectivity.