Embedded Systems and IoT Fundamentals 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, 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.

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 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.

This instructor-led live training (online or onsite) targets beginner to intermediate 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 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.