ARM Technology Training Course

This instructor-led, live training in Czech Republic (online or onsite) is aimed at engineers who wish to learn how to use embedded C to program various types of microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led live training in Czech Republic, participants will learn how to program Arduino for practical applications, such as controlling 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.

Buildroot is an open-source project that provides scripts to generate a cross-compilation toolchain, a customizable root filesystem image, and a Linux kernel for embedded devices. In this practical course, participants will learn how to leverage Buildroot for the following tasks:

• Selecting the software components included in the root filesystem.
• Adding new packages and modifying existing ones.
• Adding support for new embedded hardware boards.

Throughout the course, participants will produce bootable filesystem images. Remote sessions utilize the QEMU emulator, while in-person classes allow the use of either QEMU or actual embedded boards selected by the instructor.

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

This instructor-led, live training in Czech Republic (online or onsite) is designed for engineers and computer scientists who want to apply the fundamentals of circuits and electronics to design devices and systems. Participants will learn to utilize the properties of electrical components to develop 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 core principles behind circuits and electronics engineering.
• Use primary electronic components to build 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 Czech Republic (online or onsite) is targeted at 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 Czech Republic (online or onsite) targets intermediate-level automotive engineers and technicians looking to gain hands-on experience in testing, simulating, and diagnosing ECUs using Vector tools like CANoe and CANape.

Upon completing this training, participants will be able to:

• Grasp the role and functionality of ECUs within automotive systems.
• Configure and set up Vector tools including CANoe and CANape.
• Simulate and test ECU communication across CAN and LIN networks.
• Analyze data and conduct diagnostics on ECUs.
• Develop test cases and automate testing processes.
• Calibrate and optimize ECUs through practical methods.

This instructor-led, live training in Czech Republic (online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers seeking to grasp the theoretical foundations of ECUs, with a particular emphasis on Vector-based tools and methodologies employed in automotive design and development.

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

• Comprehend the architecture and operational functions of ECUs in contemporary vehicles.
• Analyze the communication protocols integral to ECU development.
• Investigate Vector-based tools and their theoretical applications.
• Implement model-based development principles in ECU design.

This instructor-led, live training in Czech Republic (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.

The LEDE Project (Linux Embedded Development Environment) is a Linux operating system built on OpenWrt. It serves as a full alternative to the vendor-provided firmware for a broad spectrum of wireless routers and other network-capable devices.

Through this instructor-led live training, participants will gain the skills needed to configure a LEDE-based wireless router.

Target Audience

• Network administrators and technicians

Course Format

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

This instructor-led, live training in Czech Republic (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 completing this training, participants will be able to:

• Grasp the core concepts of TinyML and understand its advantages for edge AI applications.
• Establish a development environment suitable 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 Czech Republic (online or onsite) is aimed at engineers who wish to learn the design principles of microcontroller design.

A 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 an interactive and robust embedded system.

Upon completing this training, participants will be able to:

• Configure an IDE (integrated development environment) to maximize development efficiency
• Program the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Comprehend the Raspberry Pi’s architecture, including its inputs and connectors for add-on devices.
• Navigate the various options available for programming languages and operating systems.
• Test, debug, and deploy the Raspberry Pi to address real-world challenges.

Audience

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

Course Format

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

Note

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

This instructor-led, live training in Czech Republic (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 in the Czech Republic, 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.

Description

This four-day training program blends theoretical instruction with practical exercises to introduce participants to the Yocto Project.
The course addresses common questions, such as:

• Is it truly necessary to maintain a separate version of toolchains, libraries, and packages for every GNU/Linux project, while also adhering to distinct workflows?
• Can you guarantee that the development environment remains identical across all developers and suppliers, allowing for the reproduction of identical builds today and over a decade into the future?
• Does the YP assist in identifying the software licenses under which the packages you utilize are licensed?

Hands-on sessions are conducted on target hardware, such as the Beagle Bone 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, along with course examples, enabling you to continue working with the material in your own laboratory environments. Please note that this is not an introductory course on Embedded GNU/Linux. Participants should already possess a fundamental understanding of how Embedded GNU/Linux operates, including the ability to configure and build the GNU/Linux kernel and its drivers.

Who should attend?

This workshop is designed for individuals who currently use GNU/Linux for their projects and have likely heard of the Yocto Project but hesitated to explore it further or encountered difficulties using it. If you are unsure how your daily workflow might fit into the YP and generally find the project complex, wondering why additional steps are necessary when previous methods seemed easier, this course will help you decide whether the YP is right for you. The workshop is aimed at software engineers, development engineers, system engineers, testers, administrators, and other professionals interested in the YP, provided they have solid knowledge of Embedded GNU/Linux.