Embedded Linux Kernel and Driver Development Training Course

In this instructor-led, live training in Greece, 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 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.

In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language.

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

• Build and operate a robotic system that includes both software and hardware components
• Understand the key concepts used in robotic technologies
• Assemble motors, sensors and microcontrollers into a working robot
• Design the mechanical structure of a robot

Audience

• Developers
• Engineers
• Hobbyists

Format of the course

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

Note

• Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave
• Prototyping board and cables
• USB cable
• Vehicle kit
• Participants will need to purchase their own hardware.
• If you wish to customize this training, please contact us to arrange.

This instructor-led, live training in Greece (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 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 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.

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, accessible via Greece (online or on-site), targets FPGA developers keen on leveraging Vivado to design, debug, and implement hardware solutions.

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

• Develop HDL systems using 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 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 designed for engineers seeking to master the principles of microcontroller design.

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 a robust and interactive embedded system.

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

• Configure an IDE (Integrated Development Environment) to optimise development productivity
• Program the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers
• Gain a comprehensive understanding of the Raspberry Pi's architecture, including input/output options and connectors for add-on devices
• Navigate the various available operating systems and programming languages
• Test, debug, and deploy the Raspberry Pi to address real-world challenges

Audience

• Software Developers
• Hardware and Software Technicians
• Technical Professionals across all sectors
• Hobbyists

Course Format

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

Notes

• The Raspberry Pi is compatible with a wide range of operating systems and programming languages. This course utilises the Linux-based Raspbian operating system and Python as the primary programming language. Should you require a specific setup, please contact us to make arrangements.
• Participants are required to purchase their own Raspberry Pi hardware and components.

This instructor-led, live training in Greece (online or onsite) is aimed at engineers who wish 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.