Using C++ in Embedded Systems - Applying C++11/C++14 Training Course

In this instructor-led, live training in South Africa, 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 South Africa (online or onsite) is designed for engineers who want to master embedded C programming for a range of microcontrollers across different processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led, live training in South Africa, participants will learn how to program the Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. This course requires the use of real hardware components in a live lab environment (software-simulated hardware is not used).

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

• Program 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 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 guides participants through the process of building a robot using Arduino hardware and the Arduino (C/C++) programming language.

Upon completing this training, participants will be able to:

• Construct and operate a robotic system comprising both software and hardware elements
• Comprehend the fundamental concepts underpinning robotic technology
• Integrate motors, sensors, and microcontrollers to create a functional robot
• Design the mechanical framework of a robot

Audience

• Developers
• Engineers
• Hobbyists

Course Format

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

Note

• The instructor will specify the required hardware kits prior to the training. These kits will typically include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and cables
• USB cable
• Vehicle chassis kit
• Participants are required to purchase their own hardware.
• For customised training arrangements, please contact us to make the necessary arrangements.

This instructor-led, live training in South Africa (online or onsite) is designed for engineers and scientists who aim to learn and apply DSP implementations to efficiently manage various signal types and achieve superior control over multi-channel electronic systems.

Upon completion of this training, participants will be capable of:

• Setting up and configuring the necessary software platforms and tools for Digital Signal Processing.
• Gaining a comprehensive understanding of the foundational concepts and principles underlying DSP and its applications.
• Becoming familiar with DSP components and utilising them effectively within electronic systems.
• Generating algorithms and operational functions based on DSP outcomes.
• Utilising core features of DSP software platforms to design signal filters.
• Synthesising DSP simulations and implementing diverse filter types for DSP applications.

This instructor-led live training, available both online and onsite, is designed for C developers keen to master the design principles of embedded C.

Upon completion 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 the program logic and structure required to achieve desired outcomes
• Design a robust, error-free embedded application
• Extract optimal performance from the target hardware

Course Format:

• Interactive lectures and discussions
• Exercises and practical practice
• Hands-on implementation within a live lab environment

Customization Options:

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

This instructor-led, live training in South Africa (online or onsite) is aimed at intermediate-level automotive engineers and technicians who wish to gain 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:

• Understand 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.
• Analyze data and perform diagnostics on ECUs.
• Create test cases and automate testing workflows.
• Calibrate and optimize ECUs using practical approaches.

This instructor-led, live training in South Africa (online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers who wish to grasp the theoretical aspects of ECUs, emphasizing Vector-based tools and methodologies used in automotive design and development.

By the conclusion of this training, participants will be capable of:

• Comprehending the architecture and functions of ECUs in contemporary vehicles.
• Analyzing the communication protocols utilized in ECU development.
• Exploring Vector-based tools and their theoretical applications.
• Implementing model-based development principles in ECU design.

This two-day course is structured with approximately 60% practical lab sessions, delving into Embedded Linux kernel internals, architecture, and development methodologies. Participants will explore techniques for writing and integrating various types of device drivers.

Who should attend?

Engineers seeking to develop Linux kernels for Embedded systems and platforms.

Develop embedded Linux solutions from the ground up using industry-standard cross-development tools and practical exercises. This two-day course explores Linux history, open-source development models, bootloaders, custom system construction, build systems, and application debugging. With 60% hands-on implementation time, participants configure bootloaders, compile toolchains, construct filesystems, and execute real-world embedded Linux development tasks.

In this instructor-led live training in South Africa, participants will learn how to code using FreeRTOS while stepping through the development of a simple RTOS project using a microcontroller.

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

• Understand the basic 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 South Africa (online or onsite) is aimed at 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 benefits for edge AI applications.
• Set up a development environment for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Use TensorFlow Lite and Edge Impulse to implement real-world TinyML applications.
• Optimize AI models for power efficiency and memory constraints.

In this instructor-led live training in South Africa, 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.