Embedded Systems Training in Brisbane

Rust for Embedded Systems concentrates on applying intermediate-level Rust to resource-constrained, low-level hardware environments, covering toolchains, safety patterns, real-time concerns, and deployment workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level Rust developers and embedded engineers who wish to build safe, reliable firmware using Rust.

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

• Set up and configure a Rust embedded toolchain and debug environment.
• Write idiomatic, memory-safe firmware using no_std and embedded-hal abstractions.
• Design and implement concurrency and interrupt-safe code in Rust.
• Deploy, debug, and benchmark Rust firmware on real hardware.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using physical or simulated hardware.
• Guided exercises with incremental code build-up and live debugging sessions.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Brisbane (online or onsite) is aimed at developers and embedded systems engineers who wish to leverage Rust for embedded systems programming and gain the necessary skills to develop robust and efficient embedded applications.

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

• Set up a development environment for Rust embedded systems programming.
• Understand and work with microcontrollers and their peripherals using Rust.
• Write efficient and reliable code for resource-constrained embedded systems.
• Handle concurrency and real-time requirements in embedded applications.
• Interface with hardware and use low-level abstractions in Rust.
• Apply power management and low-power optimization techniques in embedded systems.

This instructor-led, live training in Brisbane (online or onsite) targets intermediate-level automotive engineers and technicians keen on gaining 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:

• Grasp 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.
• Analyse data and perform diagnostics on ECUs.
• Create test cases and automate testing workflows.
• Calibrate and optimise ECUs using practical approaches.

This instructor-led, live training in Brisbane (online or onsite) is aimed at 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.
• Analyse 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 Brisbane (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.

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 suitable 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.
• Optimise AI models for power efficiency and memory limitations.

Embedded systems are specialised computing solutions designed to execute specific tasks within broader technological environments. The Internet of Things (IoT) refers to a network of physical devices equipped with sensors and software, enabling them to connect, communicate, and share data via the internet.

This instructor-led, live training (available online or onsite) is tailored for beginner-level technical professionals looking to grasp and apply concepts related to embedded systems and IoT using C programming and microcontroller architectures.

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

• Comprehend the architecture and key components of embedded systems.
• Write and compile C code to facilitate interaction with embedded hardware.
• Utilise microcontroller peripherals, including timers and ADCs.
• Understand the role embedded systems play within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please get in touch with us to make arrangements.

This instructor-led, live training in Brisbane (online or on-site) is aimed at engineers who wish to learn how to use embedded C to program various types of microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led live training in Brisbane, participants will learn how to program the Arduino for real-world applications, such as controlling lights, motors, and motion detection sensors. This course assumes the use of physical hardware components within a live laboratory environment, rather than software-simulated hardware.

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

• Program the Arduino to control lights, motors, and other devices.
• Understand Arduino's architecture, including inputs and connectors for add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend the Arduino's functionality.
• Understand the various options in programming languages, from C to drag-and-drop languages.
• Test, debug, and deploy the Arduino to solve real-world problems.

Is C++ appropriate for embedded systems, including microcontrollers and real-time operating systems?

Should object-oriented programming be employed in microcontrollers?

Is C++ too distant from the hardware to deliver optimal efficiency?

This instructor-led, live training addresses these queries and demonstrates, through discussion and practical exercises, how C++ can be leveraged to build embedded systems with code that is precise, readable, and efficient. Participants will translate theory into practice by developing a sample embedded application in C++.

By the conclusion of this training, participants will be capable of:

• Grasping the principles of object-oriented modelling, embedded software programming, and real-time programming
• Developing code for embedded systems that is compact, fast, and secure
• Preventing code bloat resulting from templates, exceptions, and other language features
• Understanding the challenges associated with using C++ in safety-critical and real-time systems
• Debugging a C++ program on a target device

Audience

• Developers
• Designers

Format of the course

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

This instructor-led, live training in Brisbane (online or onsite) is designed for engineers and scientists who wish to learn and apply DSP implementations to efficiently manage different signal types and gain better control over multi-channel electronic systems.

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

• Set up and configure the necessary software platforms and tools for Digital Signal Processing.
• Grasp the foundational concepts and principles underlying DSP and its applications.
• Familiarise themselves with DSP components and utilise them within electronic systems.
• Develop algorithms and operational functions using DSP results.
• Utilise the core features of DSP software platforms and design signal filters.
• Synthesise DSP simulations and implement a variety of filters for DSP.

This instructor-led, live training (available online or onsite) is designed for C developers looking to master embedded C design principles.

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

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

Course Format:

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

Customization Options:

• To request customized training for this course, please contact us to arrange.

This two-day course comprises approximately 60% practical lab sessions, concentrating on the internal workings and architecture of the Embedded Linux kernel. Participants will explore development techniques and learn how to author and integrate various types of device drivers.

Who should attend?

Engineers interested in Linux kernel development on Embedded systems and platforms.

Construct embedded Linux systems from the ground up using industry-standard cross-development tools and hands-on projects. This two-day course covers Linux history, open-source development models, bootloaders, custom system construction, build systems, and application debugging. With 60% practical implementation time, participants configure bootloaders, compile toolchains, construct filesystems, and execute real-world embedded Linux development tasks.

This training programme is designed to introduce C++ as the natural extension of C for object-oriented embedded system development. Because C++ encompasses C, the course guides you smoothly from C to C++ while examining the internal mechanics of how C++ is implemented. This deep dive is particularly valuable for understanding how to apply C++ effectively in resource-constrained embedded environments. With the C++ standard undergoing significant revisions—namely C++11 and the forthcoming C++14—this course focuses on key features introduced by these updates that are especially beneficial, such as high-performance memory management, concurrency in multicore environments, and low-level, hardware-close programming.

GOAL/BENEFITS

The primary objective of this course is to ensure you can utilise C++ in a 'correct' and effective manner.

• Introduce C++ as an object-oriented alternative within the embedded systems context.
• Highlight the similarities and differences between C++ and C.
• Understand various memory management strategies, particularly the move semantics introduced in C++11.
• Examine the underlying implementation to see how different C++ paradigms translate into machine code.
• Utilise templates to create type-safe, high-order abstractions for low-level, hardware-proximate programming—including memory-mapped I/O and interrupts—especially leveraging variadic templates from C++11.
• Present useful design patterns specifically applicable to embedded contexts.
• Include practical exercises to reinforce key concepts.

AUDIENCE/PARTICIPANTS

This training is tailored for C++ programmers looking to begin applying C++ in embedded system development.

PREVIOUS KNOWLEDGE

Participants require basic knowledge of C++ programming, equivalent to our 'C++ – Level 1' and 'C++ Level 2 – Introducing C++11' courses.

PRACTICAL EXERCISES

Throughout the training, you will practise the concepts presented through a series of exercises. We will utilise the open-source, free integrated development environment provided by Eclipse.

This instructor-led, live training in Brisbane (online or onsite) is designed for engineers who wish to design high-performance embedded systems using FPGA.

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

• Install and configure the FPGA software tools needed to design and simulate an embedded system.
• Select the best FPGA architecture for an application.
• Develop and enhance various FPGA designs.

In this instructor-led live training in Brisbane, participants will learn how to write code using FreeRTOS while stepping 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.
• Familiarise themselves with the FreeRTOS environment.
• Learn how to code with FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

This instructor-led, live training in Brisbane (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 in Brisbane (online or onsite) is aimed at developers who wish to use C to apply object-oriented programming techniques and improve software design.

By the end of this training, participants will be able to: implement object-oriented concepts in C, design modular applications, apply encapsulation and abstraction, and structure maintainable codebases.

This instructor-led, live training (available online or onsite) is designed for embedded engineers and system administrators who wish to build, customise, and deploy OpenBMC firmware for server management.

This instructor-led, live training (available online or onsite) is designed for hardware validation and system test engineers looking to implement, test, and troubleshoot IPMI and sensor management on OpenBMC platforms.

This instructor-led, live training (online or onsite) is aimed at security engineers and firmware developers who wish to harden OpenBMC deployments against unauthorised access and firmware tampering.

This instructor-led, live training (available online or onsite) is aimed at embedded Linux developers who wish to master the OpenBMC build system, customise layers, and create production-ready BMC firmware images.

The RISC-V ecosystem has evolved from a niche open-source ISA into a mainstream architecture with significant market momentum across edge computing, IoT, automotive, AI acceleration, and server-class processors. Industry reports highlight a critical talent shortage: there are fewer than 5,000 RISC-V chip designers globally against an estimated 15,000+ open positions in the semiconductor industry. Key hiring trends show employers prioritising RISC-V architecture proficiency paired with SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain skills. The rise of automotive-grade RISC-V (ISO 26262), server-class processors (AIA interrupt controllers, multi-core coherence), and edge AI inference NPUs represents the fastest-growing competency areas. Companies including SiFive, Qualcomm, and Western Digital have accelerated RISC-V development, driving demand for engineers who can bridge architecture specification, silicon implementation, firmware, and software stack development in a single skill set.

In this instructor-led, live training in Brisbane, 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.

This course offers a thorough introduction to the Zig programming language, exploring its syntax, memory management, application development, and advanced capabilities. Participants will acquire practical experience with Zig’s distinct approach to safety, performance, and interoperability, positioning it as a compelling alternative to C and Rust. The program features practical exercises designed to reinforce learning and build confidence in writing efficient, reliable Zig programs.