Embedded Linux Kernel and Driver Development Training Course

In this instructor-led live training in France, participants will learn 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 France (online or onsite) is designed for engineers who want to master embedded C programming for various microcontroller types across different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led live training in France, 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 learn how to construct a robot using Arduino hardware and the Arduino programming language (C/C++).

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

• Construct and operate a robotic system incorporating both software and hardware elements
• Grasp the fundamental concepts underlying robotic technologies
• Assemble motors, sensors, and microcontrollers into a functional robot
• Design the mechanical structure of a robot

Target 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 typically 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 customization options for this training, please contact us to make arrangements.

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

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 France (online or onsite) is designed for engineers and scientists who wish to learn and apply DSP techniques to efficiently manage various signal types and gain better control over multi-channel electronic systems.

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

• Set up and configure the necessary software platforms and tools for Digital Signal Processing.
• Grasp the core concepts and principles underpinning DSP and its practical applications.
• Become familiar with DSP components and know how to integrate them into electronic systems.
• Develop algorithms and operational functions based on DSP results.
• Utilize fundamental features of DSP software platforms to design signal filters.
• Create DSP simulations and implement various types of filters for DSP.

This instructor-led, live training in France (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 France (online or onsite) targets 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 France, participants will learn how to code using FreeRTOS while guiding them 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 code using FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

This instructor-led live training in France (online or onsite) is aimed at 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 France (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.

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

• Grasp the fundamentals of TinyML and its advantages for edge AI applications.
• Configure a development environment tailored for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Utilize TensorFlow Lite and Edge Impulse to build real-world TinyML solutions.
• Optimize AI models to meet power efficiency and memory limitations.

This instructor-led, live training in France (online or in-person) is designed for engineers who want to master the design principles of microcontrollers.

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

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

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

• Set up an IDE (integrated development environment) to maximize development efficiency
• Program the Raspberry Pi to control devices such as motion sensors, alarms, web servers, and printers.
• Understand the Raspberry Pi's architecture, including input/output options and connectors for add-on devices.
• Understand the various options in programming languages and operating systems
• Test, debug, and deploy the Raspberry Pi to solve real world problems

Audience

• Developers
• Hardware/software technicians
• Technical persons in all industries
• Hobbyists

Format of the course

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

Note

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

This instructor-led, live training in France (online or onsite) is tailored for engineers who want to write, load, and run machine learning models on very small 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 it to detect speech, classify images, etc.
• Add AI to hardware devices without relying on network connectivity.