Object Oriented Programming with C++ Training Course

In this instructor-led, live training in New Zealand, participants will learn how to programme 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:

• Understand how Arduino works.
• Explore in depth the main components and functionalities of Arduino.
• Programme the Arduino without using the Arduino IDE.

This instructor-led, live training in New Zealand (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 New Zealand, 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.

In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language.

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

• Build and operate a robotic system that includes both software and hardware components
• Understand the key concepts used in robotic technologies
• Assemble motors, sensors and microcontrollers into a working robot
• Design the mechanical structure of a robot

Audience

• Developers
• Engineers
• Hobbyists

Format of the course

• Part lecture, part discussion, with hands-on exercises and practical activities

Note

• Hardware kits will be specified by the instructor prior to the training, but will generally include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and cables
• USB cable
• Vehicle kit
• Participants will need to purchase their own hardware.
• If you wish to customise this training, please contact us to arrange.

This instructor-led, live training in New Zealand (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.

This instructor-led, live training in New Zealand (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 New Zealand (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.

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.

In this instructor-led, live training in New Zealand, 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 New Zealand (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.

In this instructor-led, live training held in New Zealand, 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.