Embedded Systems and IoT Fundamentals Training Course

This instructor-led, live training in South Korea (online or onsite) is designed for engineers who want to learn how to utilize 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 South Korea, 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.

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 hands-on course, participants will learn how to utilize these capabilities:

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

Participants will produce bootable filesystem images during the course. Remote sessions utilize the QEMU emulator, while in-person classes may use 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 requirements.

This instructor-led live training, available 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 leverage electrical component properties 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 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 South Korea (online or onsite) is designed for 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 South Korea (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 South Korea (online or onsite) is designed for automotive engineers and embedded systems developers at an intermediate level 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.

This instructor-led live training, available South Korea (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 rooted in OpenWrt, serving as a full alternative to vendor-provided firmware for numerous wireless routers and non-network devices.

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

Audience

• Network administrators and technicians

Course Format

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

This instructor-led, live training in South Korea (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 its advantages for edge AI applications.
• Establish a development environment tailored for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Leverage TensorFlow Lite and Edge Impulse to build real-world TinyML solutions.
• Enhance AI models for improved power efficiency and to meet memory limitations.

This instructor-led, live training in South Korea (available online or on-site) is designed for engineers seeking to master the design principles of microcontrollers.

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 powerful embedded system.

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

• Set up an IDE (integrated development environment) to maximize development productivity.
• Program the Raspberry Pi to control devices such as motion sensors, alarms, web servers, and printers.
• Understand the Raspberry Pi's architecture, including inputs and connectors for add-on devices.
• Explore 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 professionals across all industries.
• Hobbyists.

Format of the course

• A combination of lectures, discussions, exercises, and intensive 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 South Korea (online or onsite) is designed for 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 South Korea, 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 blends theoretical knowledge with practical exercises to introduce the Yocto Project.
It addresses frequently asked questions such as:

• Is it truly necessary to utilize different versions of toolchains, libraries, and packages for every GNU/Linux project, alongside managing distinct workflows?
• Can you guarantee that the development environment remains identical for all developers and suppliers, allowing you to reproduce identical builds over a decade from now?
• Can the YP assist in identifying the software licenses under which the packages you utilize are distributed?

Hands-on sessions are conducted on target hardware (e.g., Beagle Bone Black Rev. C - http://beagleboard.org/BLACK). Following the training, you will be able to download a Docker image containing Ubuntu 14.x with all dependencies pre-installed, along with examples, to enable you to work with the course material in your own lab environments. Please note that this is not an introductory course for Embedded GNU/Linux. Participants should already understand how Embedded GNU/Linux operates and know how to configure and build the GNU/Linux kernel and its drivers.

Who should attend?

This course is for individuals who already use GNU/Linux in their projects and have likely heard of the Yocto Project but hesitated to explore it further or found it difficult to use. It is suitable for those who are unsure whether and how their daily workflows can integrate with the YP and who generally find the YP complex. It addresses the question: Why adopt this complexity when previous methods were (supposedly) simpler? After completing the training, you will be equipped to determine if the YP meets your needs. The workshop targets software developers, system engineers, testers, administrators, and other professionals with a solid understanding of Embedded GNU/Linux.