Embedded Linux Kernel and Driver Development Training Course

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

In this instructor-led, live training in Vietnam, participants will learn how to program Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. This course requires the use of actual hardware components within a live lab environment, rather than 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 its inputs and connectors for add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to expand Arduino's functionality.
• Explore various programming language options, ranging from C to drag-and-drop languages.
• Test, debug, and deploy Arduino solutions to address real-world problems.

This instructor-led, live training in Vietnam (online or on-site) is designed for developers who wish to learn how to use the BLoC Pattern to manage state across different applications.

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

• Grasp the core concepts and architecture of BLoC.
• Create, test, and debug BLoCs.
• Gain an understanding of the BLoC build context.

This instructor-led live training in Vietnam (online or on-site) targets 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 session (available online or onsite) is designed for C developers seeking to master embedded C design principles.

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

• Grasp the design considerations essential for creating reliable embedded C programs
• Define the functionality of an embedded system
• Establish program logic and structure to achieve desired outcomes
• Design robust, error-free embedded applications
• Achieve optimal performance from target hardware

Course Format:

• Interactive lectures and discussions
• Exercises and practical practice
• Hands-on implementation within a live-lab environment

Customization Options:

• For information on requesting a customized training program, please contact us to arrange your needs.

This instructor-led, live training in Vietnam (online or onsite) is designed for intermediate-level automotive engineers and technicians who wish to gain practical 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 Vietnam (online or onsite) targets intermediate-level automotive engineers and embedded systems developers 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.

In this instructor-led live training in Vietnam (online or onsite), participants will learn how to use Flutter to rapidly develop a mobile app that runs on both iOS and Android devices.

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

• Quickly install the framework, IDE and other tooling to start developing.
• Understand and use Google's Dart language to quickly prototype a mobile app.
• Test and deploy mobile apps that run on both iOS and Android using a single code base.
• Customize the app using a rich set of widgets, layouts and animations.

In this instructor-led live training in Vietnam, participants will learn how to write code using FreeRTOS by working through the development of a simple RTOS project on a microcontroller.

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

• Understand the fundamental concepts of real-time operating systems.
• Familiarize themselves with the FreeRTOS environment.
• Learn how to code with FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

This instructor-led live training, offered in various locations (online or onsite), targets experienced front-end developers who aim to utilize Ionic 8 and Capacitor to build production-grade hybrid mobile applications and progressive web apps from a single codebase.

This instructor-led, live training in Vietnam (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.

By the end of this course, participants will be able to:

• Understand the fundamental principles of TinyML and its benefits for edge AI applications.
• Establish a development environment suitable for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Apply TensorFlow Lite and Edge Impulse to build real-world TinyML solutions.
• Optimize AI models for power efficiency and memory constraints.

The RISC-V ecosystem has evolved from a niche open-source instruction set architecture (ISA) into a mainstream standard with strong market momentum across edge computing, IoT, automotive systems, AI acceleration, and server-grade processors. Industry analyses highlight a pressing talent gap: there are fewer than 5,000 RISC-V chip designers worldwide, yet over 15,000 positions remain open in the semiconductor sector. Key hiring trends indicate that employers seek candidates proficient in RISC-V architecture combined with SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain skills. The fastest-growing competency areas include automotive-grade RISC-V (ISO 26262), server-class processors featuring AIA interrupt controllers and multi-core coherence, and edge AI inference NPUs. Companies such as SiFive, Qualcomm, and Western Digital are accelerating their RISC-V initiatives, driving demand for engineers capable of integrating architecture specification, silicon implementation, firmware, and software stack development within a unified skill set.

In this instructor-led live training in Vietnam, participants will learn how to establish a build system for embedded Linux utilizing the Yocto Project.

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

• Understand the core concepts of the Yocto Project build system, including recipes, metadata, and layers.
• Create a Linux image and run it in emulation.
• Streamline time and energy spent on building embedded Linux systems.