FPGA Design for Embedded Systems Training Course

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.

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) 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 implement NetApp ONTAP.

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

• Set up and administer ONTAP 9.3 Cluster (3 days).
• Safeguard data through Data Protection technologies (2 days).

This instructor-led live training (online or onsite) is targeted at beginner to intermediate PCB designers and electronics engineers who wish to develop a complete and controlled PCB design workflow using Altium Designer.

Participants work on a single connected project, progressing from project setup and component libraries through schematic capture, PCB layout, and verification to manufacturing outputs and controlled production release.

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

• Create and manage structured Altium Designer PCB projects.

• Build and validate schematic designs and component libraries.

• Configure PCB rules, routing, DRC, and manufacturing constraints.

• Generate and verify fabrication, assembly, and mechanical outputs.

• Apply practical high-speed design constraints.

• Manage engineering changes and controlled re-releases.

In this instructor-led live training in Malaysia, 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.