Object Oriented Programming with C++ Training Course

In this instructor-led, live training in Australia, participants will learn how to program 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.
• Dig deep into the main components and functionalities of Arduino.
• Program the Arduino without using the Arduino IDE.

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.

During this instructor-led live training, participants will acquire the skills to build a robot utilising Arduino hardware and the Arduino (C/C++) programming language.

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

• Construct and operate a robotic system encompassing both software and hardware elements
• Grasp the core concepts underpinning robotic technologies
• Integrate motors, sensors, and microcontrollers to form a functional robot
• Design the mechanical framework of a robot

Target Audience

• Developers
• Engineers
• Hobbyists

Course Format

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

Important Note

• The instructor will specify the hardware kits required prior to the training. These kits will generally include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and connecting cables
• USB cable
• Vehicle chassis kit
• Participants are required to purchase their own hardware.
• Should you wish to tailor this training to your specific needs, please contact us to make arrangements.

Buildroot is an open-source initiative comprising scripts that generate a cross-compilation toolchain, a customizable root filesystem image, and a Linux kernel tailored for embedded devices. Throughout this hands-on course, participants will learn how to utilise Buildroot effectively:

• Selecting software components to include in the root filesystem.
• Adding new packages and modifying existing ones.
• Adding support for new embedded boards.

Participants will produce bootable filesystem images during the course. For remote learning, the QEMU emulator is used, while in-class sessions allow the use of either QEMU or real embedded boards selected by the instructor.

Other projects with similar objectives include the Yocto Project and OpenWRT. Please refer to these presentations to help determine which option best suits your needs.

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 (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 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.

Course Objectives

This course aims to provide a comprehensive understanding of embedded GNU/Linux essentials, illustrating how its components integrate to form a cohesive system. It covers the necessary components for constructing an embedded GNU/Linux environment, including sourcing, configuring, building, and installing them. Participants will also learn where to seek support and navigate software licensing considerations. Through practical, hands-on exercises, you will gain the necessary experience to confidently develop your own embedded GNU/Linux systems upon successful completion of this training.

Description

Spanning five days, this training combines instructor-led explanations with practical exercises to illustrate embedded GNU/Linux concepts, designed to accelerate your proficiency. The course explores the philosophy, key concepts, and commands required to utilise GNU/Linux effectively, blending theoretical knowledge with practical application.

Avoid reinventing the wheel; instead, learn from an experienced trainer and leave with a solid working knowledge of GNU/Linux and the ability to apply it effectively within your embedded development projects.

Who should attend?

This course is suitable for managers, project managers, software, hardware, development, and systems engineers, testers, administrators, technicians, and other professionals interested in the technology. It is ideal for those who want to quickly understand how Embedded GNU/Linux operates. Attendees typically either currently use GNU/Linux and wish to evaluate its suitability for their needs, or have previously used Embedded GNU/Linux but seek to confirm best practices. It is also appropriate for those currently using alternative operating systems who wish to determine if GNU/Linux offers superior or more cost-effective solutions.

Delivery Options

All training materials are in English. However, presentations can be delivered in either English or German, according to your preference, and are available worldwide.

• on-site - instructor driven
• on-line - instructor driven
• on-site/on-line combination - instructor driven

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.

In this instructor-led live training held in Australia, participants will learn how to establish a build system for embedded Linux based on the Yocto Project.

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

• Grasp the fundamental principles of a Yocto Project build system, encompassing recipes, metadata, and layers.
• Construct a Linux image and execute it under emulation.
• Save time and effort when building embedded Linux systems.