Embedded Systems and IoT Fundamentals Training Course

This instructor-led, live training in Australia (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 Australia, 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.

This instructor-led, live training in Australia (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 in Australia (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 Australia (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.

In this instructor-led live training in Australia, 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 Australia (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.

This instructor-led, live training in Australia (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 (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 in Australia, 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.