C++ for Embedded Systems Training Course

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 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 training, available online or on-site, is tailored for C developers seeking to master the design principles of embedded C.

Upon completing this training, participants will be capable of:

• Gaining insight into the design factors that ensure the reliability of embedded C programs
• Articulating the functionality of an embedded system
• Establishing the program logic and structure necessary to achieve desired outcomes
• Creating a robust and error-free embedded application
• Achieving peak performance from the target hardware

Course Format:

• Interactive lectures and discussions
• Practical exercises
• Hands-on implementation within a live-lab setting

Customization Options:

• For inquiries regarding customized training for this course, please contact us.

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 two-day programme comprises approximately 60% hands-on labs, concentrating on Embedded Linux kernel internals, architecture, and development. Participants will explore how to author and integrate various types of device drivers.

Who should attend?

Engineers keen on Linux kernel development for embedded systems and platforms.

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

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.

The RISC-V ecosystem has evolved from a niche open-source instruction set architecture (ISA) into a mainstream technology with substantial market momentum across edge computing, the Internet of Things (IoT), automotive systems, artificial intelligence acceleration, and server-class processors. Industry reports highlight a critical talent shortage: there are fewer than 5,000 RISC-V chip designers worldwide against an estimated 15,000 or more open positions in the semiconductor industry. Key hiring trends indicate that employers prioritise proficiency in RISC-V architecture alongside skills in SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain expertise. The fastest-growing competency areas include automotive-grade RISC-V (ISO 26262), server-class processors (AIA interrupt controllers, multi-core coherence), and edge AI inference NPUs. Companies such as SiFive, Qualcomm, and Western Digital have accelerated their RISC-V development efforts, driving demand for engineers capable of bridging architecture specification, silicon implementation, firmware, and software stack development within a single skill set.

In this instructor-led, live training in Botswana, 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.