FPGA Design for Embedded Systems Training Course

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 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, available either online or onsite, is designed for C developers who want to master the principles of embedded C design.

By the end 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 the desired outcome
• Design a reliable and error-free embedded application
• Achieve optimal performance from the target hardware

Course Format:

• Interactive lectures and discussions
• Exercises and practice sessions
• Hands-on implementation in a live-lab environment

Course Customization Options:

• To request a customized training session for this course, please contact us to arrange it.

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 two-day programme is structured around approximately 60% practical laboratory sessions. It delves into the internals and architecture of the Embedded Linux kernel, covering development practices and demonstrating how to write and integrate various types of device drivers.

Who should attend?

This course is designed for engineers who are keen on developing Linux kernels for embedded systems and platforms.

Construct embedded Linux systems from the ground up using industry-standard cross-development tools and hands-on projects. This two-day course explores the history of Linux, 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 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.

The RISC-V ecosystem has evolved from a niche open-source Instruction Set Architecture (ISA) into a mainstream architecture with significant market momentum across edge computing, IoT, automotive, AI acceleration, and server-class processors. Industry reports highlight a critical talent shortage: there are fewer than 5,000 RISC-V chip designers globally, compared to an estimated 15,000+ open positions in the semiconductor industry. Key hiring trends indicate that employers are prioritizing proficiency in RISC-V architecture coupled with SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain skills. The rise of automotive-grade RISC-V (ISO 26262), server-class processors (AIA interrupt controllers, multi-core coherence), and edge AI inference NPUs represents the fastest-growing competency areas. Companies including SiFive, Qualcomm, and Western Digital have accelerated RISC-V development, driving demand for engineers who can bridge architecture specification, silicon implementation, firmware, and software stack development in a single skill set.

In this instructor-led live training in Nigeria, 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.