Introduction to Embedded Computers Training Course

This instructor-led, live training in Taiwan (online or on-site) is designed for engineers seeking to master embedded C programming for a variety of microcontrollers across different processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led live training in Taiwan, participants will learn how to program Arduino for real-world 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.

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

• Program Arduino to control lights, motors, and other devices.
• Gain a solid understanding of Arduino's architecture, including inputs and connectors for add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to expand Arduino's functionality.
• Understand the various programming language options available, ranging from C to drag-and-drop languages.
• Test, debug, and deploy Arduino solutions to address 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 hands-on course, participants will learn how to utilize Buildroot effectively:

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

Participants will produce bootable filesystem images during the course. Remote sessions utilize the QEMU emulator, while in-person classes can employ either QEMU or real embedded boards selected by the instructor.

Other projects with similar objectives include the Yocto Project and OpenWRT. Please refer to these presentations to determine which solution best fits your requirements.

This instructor-led, live training in Taiwan (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 developing 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 primary electronic components to construct 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 Taiwan (online or onsite) is tailored 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 Taiwan (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 Taiwan (online or onsite) is designed for intermediate automotive engineers and embedded systems developers who wish to grasp the theoretical aspects of ECUs, emphasizing Vector-based tools and methodologies used in automotive design and development.

By the conclusion 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 in Taiwan (online or onsite) is tailored for FPGA developers who wish to utilize Vivado for designing, debugging, and implementing 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 based on OpenWrt. It serves as a comprehensive alternative to the proprietary firmware provided by manufacturers for a broad spectrum of wireless routers and network-related devices.

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

Audience

• Network administrators and technicians

Format of the course

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

This instructor-led, live training session at Taiwan (online or onsite) targets 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 fundamentals of TinyML and its advantages for edge AI applications.
• Configure 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 power efficiency and address memory constraints.

This instructor-led, live training in Taiwan (online or onsite) is aimed at engineers who wish to learn the design principles of microcontroller design.

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

• Configure 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
• Understand 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 persons in all industries
• Hobbyists

Format of the course

• Part lecture, part discussion, exercises and heavy 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 Taiwan (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 Taiwan, 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 blends theoretical knowledge with practical exercises to introduce the Yocto Project.
It addresses common questions such as:

• Is it truly necessary to use different versions of toolchains, libraries, and packages for every GNU/Linux project, along with following a distinct workflow?
• Can you ensure that the development environment remains consistent for all developers and suppliers, allowing you to reproduce identical builds today and ten years from now?
• Can the Yocto Project help determine the software licenses under which the packages you use are distributed?

Hands-on sessions are conducted on target hardware (e.g., Beagle Bone Black Rev. C - http://beagleboard.org/BLACK). Upon completion of the training, you will be able to download 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 for Embedded GNU/Linux. Participants should already understand how Embedded GNU/Linux operates and possess the skills to configure and build the GNU/Linux kernel and drivers.

Who should attend?

This course is designed for individuals who already use GNU/Linux in their projects and have likely heard of the Yocto Project but have hesitated to explore it further, or have found it challenging to use. If you are unsure whether and how your daily workflow can integrate with the YP, and generally find the YP complex, wondering why such complexity is needed when previous methods seemed easier, this training will help you decide if the YP is necessary for your needs. The workshop targets software developers, systems engineers, testers, administrators, and others interested in the YP, who possess a solid understanding of Embedded GNU/Linux.