Introduction to Embedded Computers Training Course

This instructor-led, live training in Norway (online or onsite) is designed for engineers who want to master using embedded C to program various microcontrollers based on different processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led, live training in Norway, participants will learn how to program the Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. This course requires the use of actual hardware components in a live lab environment, rather than 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.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend the Arduino's functionality.
• Understand the various programming language options, ranging 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 tailored for embedded devices. In this practical course, participants will learn how to utilize Buildroot to:

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

Participants will produce bootable filesystem images during the course. Remote sessions are conducted using the QEMU emulator, while in-person classes allow the use of either QEMU or actual embedded boards chosen by the instructor.

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

This instructor-led, live training in Norway (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 the 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 Norway (online or onsite) is aimed 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:

• Setup 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 Norway (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 such as CANoe and CANape.

Upon completion 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 Norway (online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers seeking to grasp the theoretical foundations of ECUs, with a focus 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 functionalities of ECUs in contemporary vehicles.
• Analyze the communication protocols utilized in ECU development.
• Explore Vector-based tools and their theoretical applications.
• Apply model-based development principles to ECU design.

This instructor-led, live training in Norway (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 derived from OpenWrt. It serves as a comprehensive replacement for the vendor-provided firmware on a wide variety of wireless routers and non-network devices.

In this instructor-led live training, participants will learn how to configure a wireless router based on LEDE.

Audience

• Network administrators and technicians

Format of the course

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

This instructor-led, live training held in Norway (online or onsite) targets intermediate-level embedded systems engineers and AI developers who aim to deploy machine learning models on microcontrollers utilizing TensorFlow Lite and Edge Impulse.

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

• Grasp the core principles of TinyML and its advantages for edge AI solutions.
• Establish a development environment suitable for TinyML initiatives.
• Training, refining, and deploying AI models on power-efficient microcontrollers.
• Utilizing TensorFlow Lite and Edge Impulse to build practical TinyML applications.
• Enhancing AI models for improved power efficiency and to navigate memory limitations.

This instructor-led, live training in Norway (online or on-site) is tailored for engineers who wish to understand the core principles of microcontroller design.

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

In this guided live training, participants will learn how to configure and code 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
• Code the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Comprehend the Raspberry Pi's architecture, including input methods and connectors for expansion devices.
• Evaluate various programming languages and operating system options.
• Test, debug, and deploy the Raspberry Pi to address real-world challenges.

Audience

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

Course Format

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

Note

• The Raspberry Pi is compatible with multiple operating systems and programming languages. This course utilizes the Linux-based Raspbian operating system and Python as the programming language. For specific setup requirements, please contact us to make arrangements.
• Participants are responsible for acquiring the necessary Raspberry Pi hardware and components.

This instructor-led, live training in Norway (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 Norway, 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 the Yocto Project.
It addresses common questions such as:

• Is it truly necessary to maintain a separate version of the toolchain, libraries, and packages for every GNU/Linux project, alongside following a different workflow?
• Can you guarantee that the development environment remains identical for all developers and suppliers, ensuring that builds remain consistent over 10+ years into the future?
• Can the YP assist in identifying the software licenses under which the packages you utilize are licensed?

Hands-on sessions are conducted on target hardware (e.g., Beagle Bone Black Rev. C - http://beagleboard.org/BLACK). Following the training, you will have access to a Docker image containing Ubuntu 14.x with all dependencies pre-installed, along with examples, enabling you to work with the course material in your own lab environment. Please note that this is not an introductory course to Embedded GNU/Linux. You should already possess a foundational understanding of how Embedded GNU/Linux operates, including how to configure and build the GNU/Linux kernel and kernel drivers.

Who should attend?

This course is designed for individuals who already utilize GNU/Linux in their projects and have likely heard of the Yocto Project but hesitated to explore it further, or encountered difficulties in using it. If you are unsure how your daily workflow fits into the YP, or generally find the YP overly complex, this training will help clarify why it is needed and whether it simplifies or complicates your process compared to previous methods. After completion, you will be able to determine if the YP is necessary for your needs. The workshop is targeted at software engineers, development engineers, system engineers, testers, administrators, and other professionals interested in the YP, provided they have a solid knowledge of Embedded GNU/Linux.