Embedded Systems Training in Auckland

This course focuses on applying intermediate-level Rust skills to resource-constrained, low-level hardware environments, covering toolchains, safety patterns, real-time considerations, and deployment workflows.

Delivered as an instructor-led live training (available online or onsite), this session is designed for intermediate-level Rust developers and embedded engineers seeking to build safe, reliable firmware using Rust.

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

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

Course Format

• Interactive lectures and discussions.
• Hands-on labs using physical or simulated hardware.
• Guided exercises featuring incremental code development and live debugging sessions.

Course Customization Options

• To request tailored training for this course, please contact us to make arrangements.

This instructor-led, live training in Auckland (online or on-site) 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 optimisation techniques in embedded systems.

This instructor-led, live training in Auckland (available online or on-site) is designed for intermediate-level automotive engineers and technicians seeking hands-on experience in testing, simulating, and diagnosing ECUs using Vector tools such as CANoe and CANape.

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

• Understand the role and function of ECUs within automotive systems.
• Set up and configure Vector tools including CANoe and CANape.
• Simulate and test ECU communication across CAN and LIN networks.
• Analyse data and carry out diagnostics on ECUs.
• Create test cases and automate testing workflows.
• Calibrate and optimise ECUs using practical, real-world approaches.

This instructor-led, live training in Auckland (online or onsite) is aimed at intermediate-level automotive engineers and embedded systems developers who wish to understand the theoretical aspects of ECUs, with a focus 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 Auckland (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.

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

• Understand the fundamentals of TinyML and its advantages for edge AI applications.
• Set up a development environment for TinyML projects.
• Train, optimise, and deploy AI models on low-power microcontrollers.
• Use TensorFlow Lite and Edge Impulse to implement real-world TinyML applications.
• Optimise AI models for power efficiency and memory constraints.

Embedded systems are purpose-built computing systems designed to perform dedicated functions within larger systems. IoT (Internet of Things) is a network of interconnected physical devices embedded with sensors and software that communicate and exchange data over the internet.

This instructor-led, live training (online or on-site) is aimed at beginner-level technical professionals who wish to understand and apply embedded systems and IoT concepts using C and microcontroller architectures.

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

• Understand the architecture and components of embedded systems.
• Write and compile C code for embedded hardware interaction.
• Work with microcontroller peripherals such as timers and ADCs.
• Understand how embedded systems contribute to IoT architectures.

Course Format

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

This instructor-led, live training in Auckland (online or onsite) is designed for engineers who wish to learn how to use embedded C to program a variety of microcontrollers based on different processor architectures, including 8051, ARM Cortex M-3, and ARM9.

In this instructor-led, live training in Auckland, 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 actual hardware components in a live lab environment (rather than software-simulated hardware).

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

• Program the Arduino to control lights, motors, and other devices.
• Understand the Arduino 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.
• Explore various programming language options, from C to drag-and-drop environments.
• Test, debug, and deploy Arduino solutions to tackle real-world challenges.

Is C++ suitable for embedded systems such as microcontrollers and real-time operating systems?

Should object-oriented programming be used in microcontrollers?

Is C++ too distant from the hardware to be efficient?

This instructor-led, live training addresses these questions and demonstrates, through discussion and hands-on practice, how C++ can be used to develop embedded systems with code that is accurate, readable, and efficient. Participants apply theory to practice by creating a sample embedded application in C++.

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

• Understand the principles of object-oriented modelling, embedded software programming, and real-time programming
• Produce code for embedded systems that is small, fast, and safe
• Avoid code bloat caused by templates, exceptions, and other language features
• Understand the issues related to using C++ in safety-critical and real-time systems
• Debug a C++ program on a target device

Audience

• Developers
• Designers

Format of the course

• A blend of lecture, discussion, exercises, and extensive hands-on practice

This instructor-led, live training in Auckland (online or on-site) is designed for engineers and scientists who wish to learn and apply DSP implementations to efficiently manage various 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 platforms and tools for Digital Signal Processing.
• Understand the concepts and principles that form the foundation of DSP and its applications.
• Familiarise themselves with DSP components and apply them in electronic systems.
• Develop algorithms and operational functions using results derived from DSP.
• Utilise the basic features of DSP software platforms and design signal filters.
• Synthesise DSP simulations and implement various types of filters for DSP.

This instructor-led, live training (online or on-site) is designed for C developers seeking to master embedded C design principles.

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

• Understand 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 robust, error-free embedded applications
• Extract optimal performance from target hardware

Course Format:

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

Course Customisation Options:

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

A two-day course comprising approximately 60% hands-on labs, focusing on the internals and architecture of the Embedded Linux kernel, along with practical development techniques and guidance on writing and integrating various types of device drivers.

Who should attend?

Engineers with an interest in Linux kernel development for 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 aims to introduce C++ as the natural extension of C for object-oriented development in embedded systems. Since C++ encompasses C, this course guides you from C to C++ in a seamless manner, exploring the inner workings of how C++ is implemented. This understanding is particularly valuable when applying C++ in resource-constrained embedded environments. The C++ standard has recently undergone a major revision, known as C++11, with C++14 now emerging. This course covers key enhancements introduced by these revisions that are especially beneficial, such as high-performance memory management, concurrency leveraging multicore environments, and bare-metal programming close to the hardware.

GOAL/BENEFITS

The primary objective of this course is to equip you with the ability to use C++ in a “correct” and effective way.

• Introduce C++ as an object-oriented language alternative within the embedded systems context
• Highlight the similarities and differences between C and C++
• Understand various memory management strategies, particularly move semantics introduced with C++11
• Explore the underlying implementation to understand how different C++ paradigms translate into machine code
• Utilise templates to achieve type-safe, high-level abstractions for bare-metal programming near the hardware—including memory-mapped I/O and interrupts—focusing especially on variadic templates introduced with C++11
• Present practical design patterns particularly suited to embedded contexts
• Include hands-on exercises to reinforce key concepts

AUDIENCE/PARTICIPANTS

This training is designed for C++ programmers who intend to begin using C++ in embedded system development.

PREVIOUS KNOWLEDGE

The course assumes a foundational understanding of C++ programming, equivalent to our courses “C++ – Level 1” and “C++ Level 2 – Introducing C++11”.

PRACTICAL EXERCISES

Throughout the training, you will apply the concepts covered through a series of practical exercises. We will utilise the open-source and free integrated development environment from Eclipse.

This instructor-led, live training in Auckland (delivered either online or on-site) is designed for engineers who wish to develop high-performance embedded systems using FPGA technology.

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

• Install and configure the necessary FPGA software tools to design and simulate an embedded system.
• Select the most suitable FPGA architecture for a given application.
• Develop and refine a range of FPGA designs.

In this instructor-led, live training in Auckland, participants will learn how to code using FreeRTOS as they progress through the development of a simple RTOS project using a microcontroller.

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

• Grasp the fundamental concepts of real-time operating systems.
• Familiarise themselves with the FreeRTOS environment.
• Learn how to code using FreeRTOS.
• Interface FreeRTOS applications with hardware peripherals.

This instructor-led, live training in Auckland (available online or on-site) is designed for engineers who wish to implement NetApp ONTAP.

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

• Set up and manage an ONTAP 9.3 Cluster (3 days).
• Protect data using Data Protection technologies (2 days).

This instructor-led, live training in Auckland (available online or on-site) is aimed at developers who wish to use C to apply object-oriented programming techniques and enhance their software design skills.

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 in (online or onsite) is aimed at embedded engineers and system administrators who wish to build, customize, and deploy OpenBMC firmware for server management.

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

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

The RISC-V ecosystem has evolved from a niche open-source ISA into a mainstream architecture with significant momentum across edge computing, IoT, automotive, AI acceleration, and server-class processors. Industry reports highlight a critical talent shortage: fewer than 5,000 RISC-V chip designers exist 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 held in Auckland, 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 gain practical experience with Zig’s distinctive approach to safety, performance, and interoperability, positioning it as a compelling alternative to C and Rust. The course includes hands-on exercises designed to reinforce learning and build confidence in writing efficient, reliable Zig code.