Embedded Linux Kernel and Driver Development Training Course

In this instructor-led live training in Malaysia, participants will learn to program the Arduino using advanced techniques as they step through the creation of a simple sensor alert system.

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

• Grasp the operational principles of Arduino.
• Gain in-depth knowledge of Arduino's core components and functionalities.
• Program the Arduino without relying on the Arduino IDE.

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

In this instructor-led, live training conducted in Malaysia, participants will learn how to programme Arduinos for real-world applications, such as controlling lights, motors, and motion detection sensors. This course assumes the use of actual hardware components within a live laboratory environment (excluding software-simulated hardware).

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

• Programme Arduinos to control lights, motors, and other devices.
• Comprehend 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 enhance Arduino's functionality.
• Appreciate the range of programming language options available, from C to drag-and-drop interfaces.
• Test, debug, and deploy Arduino solutions to address real-world challenges.

In this instructor-led live training, participants will gain the skills to build a robot utilizing Arduino hardware and the Arduino (C/C++) programming language.

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

• Construct and operate a robotic system encompassing both software and hardware elements
• Grasp the core concepts underpinning robotic technologies
• Integrate motors, sensors, and microcontrollers to create a functional robot
• Design the mechanical framework of a robot

Audience

• Developers
• Engineers
• Hobbyists

Course Format

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

Note

• The instructor will specify the hardware kits prior to the training, which will typically include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and cables
• USB cable
• Vehicle chassis kit
• Participants are required to procure their own hardware.
• For customised training arrangements, please contact us.

This instructor-led, live training in Malaysia (online or on-site) is aimed at engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize 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 Malaysia (online or onsite) 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 in Malaysia (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 Malaysia (online or onsite) targets intermediate automotive engineers and embedded systems developers aiming to understand the theoretical aspects of ECUs, with a focus on Vector-based tools and methodologies used in automotive design and development.

Upon completing this training, participants will be equipped to:

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

In this instructor-led live training in Malaysia, participants will learn how to code using FreeRTOS by stepping through the development of a simple RTOS project using 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.
• Gain skills in coding with FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

This instructor-led live training in Malaysia (online or onsite) targets 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.

This instructor-led, live training in Malaysia (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers who wish to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

• Grasp the fundamentals of TinyML and its advantages for edge AI applications.
• Establish a development environment for TinyML projects.
• Train, optimise, and deploy AI models on low-power microcontrollers.
• Utilise TensorFlow Lite and Edge Impulse to build real-world TinyML applications.
• Optimize AI models to meet power efficiency and memory constraints.

This instructor-led, live training in Malaysia (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 programme the Raspberry Pi to function as an interactive and robust embedded system.

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

• Set up an IDE (Integrated Development Environment) to maximise 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 its inputs and connectors for add-on devices.
• Understand the various programming language and operating system options available.
• 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

• Part lecture, part discussion, exercises, and extensive hands-on practice.

Note

• The 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 session in Malaysia (online or onsite) is designed for engineers who aim to develop, deploy, and execute machine learning models on highly compact embedded hardware.

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

• Install TensorFlow Lite.
• Deploy machine learning models onto embedded devices to facilitate tasks such as speech detection and image classification.
• Integrate artificial intelligence into hardware devices independently of network connectivity.