Real Time Operating System 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.

Buildroot is an open-source initiative featuring scripts designed to create a cross-compilation toolchain, a tailored root filesystem image, and a Linux kernel suitable for embedded devices. In this hands-on session, attendees will acquire the skills to:

• Select software components for inclusion in the root filesystem.
• Integrate new packages and modify existing ones.
• Extend support for additional embedded boards.

Participants will generate bootable filesystem images throughout the course. For remote learning, the QEMU emulator is utilized, whereas in-person classes allow the use of either QEMU or real embedded boards selected by the instructor.

Other projects with comparable objectives include the Yocto Project and OpenWRT. Please refer to these presentations to help determine the most suitable option for your requirements.

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.

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.

The LEDE Project (Linux Embedded Development Environment) is a Linux-based operating system derived from OpenWrt. It serves as a comprehensive alternative to the proprietary firmware typically supplied by manufacturers for a broad spectrum of wireless routers and non-network devices.

In this instructor-led live training, participants will gain the skills needed to configure a LEDE-based wireless router.

Target Audience

• Network administrators and technicians

Course Format

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

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.

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

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts of a Yocto Project build system, including recipes, metadata, and layers.
• Construct a Linux image and execute it via emulation.
• Streamline the process of building embedded Linux systems to save time and effort.

Description

This four-day training blends theoretical knowledge with practical exercises to introduce participants to the Yocto Project.
It addresses common queries such as:

• Is it truly necessary to maintain a separate toolchain, library, or package version for every GNU/Linux project, along with a distinct workflow?
• Can you guarantee that the development environment remains consistent across all developers and suppliers, enabling identical builds to be produced consistently over the next decade and beyond?
• Can the YP assist in identifying the software licenses governing the packages you utilize?

Practical sessions are conducted on target hardware (e.g., Beagle Bone Black Rev. C - http://beagleboard.org/BLACK). Upon completion of the training, you will receive a Docker image containing Ubuntu 14.x with all necessary dependencies pre-installed, along with course examples, allowing you to practice the material in your own lab environments. Please note that this course is not an introduction to Embedded GNU/Linux. Participants should already possess a solid understanding of Embedded GNU/Linux, including how to configure and build the GNU/Linux kernel and its drivers.

Who should attend?

This workshop is ideal for those who already use GNU/Linux in their projects and have heard of the Yocto Project but hesitated to explore it further or found it challenging to implement. If you are unsure how your daily workflow aligns with the YP and generally find the YP complex, wondering why additional complexity is needed when things worked before, this training will help you decide whether the YP is right for you. The workshop is designed for software engineers, development engineers, system engineers, testers, administrators, and other stakeholders interested in the YP, provided they have a strong foundation in Embedded GNU/Linux.