FPGA Design for Embedded Systems Training Course

In this instructor-led live training in Nigeria, 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 Nigeria (online or onsite) is designed for engineers who want to learn how to use embedded C to program various microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

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

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.
• Add 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 completion of this training, participants will be able to:

• Construct and operate a robotic system integrating both software and hardware elements
• Grasp the fundamental concepts underlying robotic technologies
• 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 hardware kits prior to the training, which will approximately 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 components.
• For customized training arrangements, please contact us.

This instructor-led live training in Nigeria (online or onsite) is tailored for engineers and scientists who wish to learn and apply DSP implementations to effectively manage various signal types and gain improved control over multi-channel electronic systems.

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

• Set up and configure the necessary software platform and tools for Digital Signal Processing.
• Understand the concepts and principles that are foundational to DSP and its applications.
• Familiarize themselves with DSP components and employ them in electronics systems.
• Generate algorithms and operational functions using the results from DSP.
• Utilize the basic features of DSP software platforms and design signal filters.
• Synthesize DSP simulations and implement various types of filters for DSP.

This instructor-led, live training in Nigeria (online or onsite) is designed for intermediate-level automotive engineers and technicians who want to gain practical 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 Nigeria (online or onsite) is designed for 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.
• 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) relevant to embedded programming, along with guidelines for efficient and error-resistant coding techniques. The practical examples and exercises are implemented on microcontrollers from the STM32 family.

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

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

• Grasp the fundamental concepts of real-time operating systems.
• Familiarize themselves with the FreeRTOS environment.
• Acquire skills in coding with FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

This course provides an introduction to real-time operating system (RTOS) based software design for embedded systems and IoT applications. Participants will be introduced to key RTOS concepts, synchronization mechanisms, and various software design scenarios utilizing RTOS. Practical exercises are conducted using STM32 Nucleo 144 or equivalent development boards.

This instructor-led, live training in Nigeria (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers who want to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

By the end of 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, optimize, and deploy AI models on low-power microcontrollers.
• Utilize TensorFlow Lite and Edge Impulse to build real-world TinyML applications.
• Optimize AI models to meet 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 Nigeria, 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.