Model Based Development for Embedded Systems Training Course

In this instructor-led, live training in Botswana, 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.
• Dig deep into the main components and functionalities of Arduino.
• Programme the Arduino without using the Arduino IDE.

This instructor-led, live training in Botswana (online or onsite) 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 Botswana, participants will learn how to programme Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. This course assumes the use of real hardware components within a live laboratory environment (excluding software-simulated hardware).

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

• Programme Arduino to control lights, motors, and other devices.
• Gain an understanding of Arduino's architecture, including inputs and connectors for add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to expand Arduino's functionality.
• Understand the various programming language options available, ranging from C to drag-and-drop interfaces.
• Test, debug, and deploy Arduino solutions to address 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 completion of this training, participants will be able to:

• Construct and operate a robotic system encompassing both software and hardware elements
• Gain a solid grasp of the core concepts underpinning robotic technology
• Assemble motors, sensors, and microcontrollers to create a functional robot
• Design the mechanical framework of a robot

Target Audience

• Software developers
• Engineers
• Hobbyists

Course Format

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

Note

• The instructor will specify the hardware kits required prior to the training. These 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.

This instructor-led, live training in Botswana (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 enhanced 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 concepts and principles that form the foundation of DSP and its applications.
• Become familiar with DSP components and utilise them within electronic systems.
• Develop algorithms and operational functions using DSP outcomes.
• Utilise the core features of DSP software platforms and design signal filters.
• Create DSP simulations and implement various types of filters for DSP.

This instructor-led, live training in Botswana (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 Botswana (online or onsite) targets intermediate-level automotive engineers and embedded systems developers seeking 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.
• Analyze communication protocols used in ECU development.
• Explore Vector-based tools and their theoretical applications.
• Apply model-based development principles to ECU design.

This course explores the aspects of modern C language dialects (C99, C11, C2x) that are relevant to embedded programming, along with guidelines for efficient and error-free programming techniques. The examples and exercises are implemented on STM32 family microcontrollers.

In this instructor-led live training in Botswana, participants will learn how to code using FreeRTOS as they step through the development of a simple RTOS project using a microcontroller.

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

• Understand the fundamental concepts of real-time operating systems.
• Familiarize themselves with the FreeRTOS environment.
• Gain proficiency in coding with FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

This course serves as an introduction to Real-Time Operating System (RTOS) software design for embedded systems and IoT applications. Participants are introduced to fundamental RTOS concepts, synchronization mechanisms, and practical software design scenarios using RTOS. The practical exercises are conducted using STM32 Nucleo 144 boards or equivalent development platforms.

This instructor-led, live training in Botswana (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.

Design and develop USB device firmware on STM32 microcontrollers using STM32CubeIDE. This embedded systems training explores USB interface fundamentals, device classes, USB descriptors, control interfaces, middleware architecture, and interrupt-driven code structure through hands-on exercises building HID, CDC, and Mass storage devices. Embedded developers gain the practical expertise to integrate USB peripherals into ARM-based firmware projects from prototype to production-ready results.

In this instructor-led live training in Botswana, participants will learn how to create a build system for embedded Linux based on the 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.