Embedded Systems and IoT Fundamentals 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.

Buildroot is an open-source project comprising scripts that generate a cross-compilation toolchain, a customizable root filesystem image, and a Linux kernel tailored for embedded devices. Through this practical course, participants will learn how to effectively utilize Buildroot to:

• Select the software packages to include in the root filesystem.
• Integrate new packages and modify existing ones.
• Add support for new embedded boards.

During the course, participants will produce bootable filesystem images. Remote sessions are conducted using the QEMU emulator, while classroom sessions allow the use of either QEMU or real embedded boards chosen by the instructor.

Other projects with similar objectives include the Yocto project and OpenWRT. Please review these presentations to help determine which solution best suits your needs.

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.

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.

The LEDE Project (Linux Embedded Development Environment) is a Linux distribution derived from OpenWrt. It serves as a full alternative to the proprietary firmware typically provided by manufacturers for numerous wireless routers and network appliances.

Through this instructor-led live training, participants will acquire the skills necessary to configure a wireless router using LEDE.

Audience

• Network administrators and technicians

Course format

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

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.

In this instructor-led, live training session, 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.

Description

This four-day training merges theoretical concepts with practical exercises to introduce participants to the Yocto Project.
It addresses common questions such as:

• Is it truly necessary to utilize different toolchains, libraries, and packages for every GNU/Linux project, along with distinct workflows?
• Can you guarantee that the development environment remains consistent across all developers and suppliers, ensuring identical builds can be reproduced over a decade from now?
• Does the Yocto Project assist in identifying the software licenses applicable to the packages you utilize?

Hands-on sessions are conducted on target hardware (e.g., BeagleBone Black Rev. C - http://beagleboard.org/BLACK). Upon completion of the training, you will receive a Docker image containing Ubuntu 14.x with all dependencies pre-installed, alongside course examples, allowing you to practice with the material in your own labs. Please note that this is not an introductory course to Embedded GNU/Linux. Participants should already understand how Embedded GNU/Linux operates, including configuring and building the GNU/Linux kernel and its drivers.

Who should attend?

This course is designed for those who already use GNU/Linux for their projects and have heard of the Yocto Project but hesitated to explore it further, or found it difficult to use. If you are unsure how your current workflow fits into the Yocto Project, or if you find the Yocto Project overly complicated and question its necessity compared to previous, presumably simpler methods, this training will help you decide if the Yocto Project is right for you. The workshop is targeted at software developers, system engineers, testers, administrators, and other professionals interested in the Yocto Project who possess solid knowledge of Embedded GNU/Linux.