Embedded Systems and IoT Fundamentals Training Course

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.

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 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.

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.

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

Participants work on one 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 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.