Object Oriented Programming with C++ Training Course

This instructor-led, live training held in Kenya (available online or on-site) 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 Kenya, participants will learn how to program the Arduino for real-world applications, such as controlling lights, motors, and motion detection sensors. This course assumes the use of real 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 Kenya (online or onsite) is designed for engineers and scientists who wish to learn and apply DSP implementations to efficiently handle different signal types and gain better control over multi-channel electronic systems.

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

• Setup 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 design principles of embedded C.

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
• Define the program logic and structure to achieve the desired outcome
• Design a reliable, error-free embedded application
• Maximize performance from target hardware

Format of the Course:

• Interactive lecture and discussion
• Exercises and practice
• Hands-on implementation in a live-lab environment

Course Customization Options:

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

This instructor-led, live training in Kenya (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 Kenya (online or onsite) is designed for intermediate automotive engineers and embedded systems developers who aim to understand the theoretical aspects of ECUs, emphasizing Vector-based tools and methodologies used in automotive design and development.

By the conclusion 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.

Spanning two days, this course allocates approximately 60% of the time to practical labs. Participants will explore Embedded Linux kernel internals, architecture, and development practices, with a focus on writing and integrating various types of device drivers.

Who should attend?

Engineers looking to develop Linux kernels for embedded systems and platforms.

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

In this instructor-led, live training in Kenya, 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 basic concepts of real-time operating systems.
• Learn the environment of FreeRTOS.
• Learn how to code with FreeRTOS.
• Interface a FreeRTOS application to hardware peripherals.

This course provides an overview of real-time operating system (RTOS) based software design for embedded systems and the Internet of Things (IoT). Participants will learn about core RTOS concepts, synchronization techniques, and practical software design scenarios using RTOS. The hands-on exercises are conducted using STM32 Nucleo 144 or comparable development boards.

This instructor-led, live training conducted in Kenya (either online or onsite) targets intermediate-level embedded systems engineers and AI developers who aim to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

By the conclusion 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 architectural choice with significant momentum across edge computing, IoT, automotive systems, AI acceleration, and server-grade processors. Industry reports highlight a critical skills gap: there are fewer than 5,000 RISC-V chip designers globally, contrasted against an estimated 15,000+ open positions in the semiconductor sector. Key recruitment trends indicate that employers are prioritizing proficiency in RISC-V architecture alongside System-on-Chip (SoC) design, RTL verification using 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 compliant with ISO 26262, server-class processors featuring AIA interrupt controllers and multi-core coherence, and edge AI inference NPUs. Leading companies such as SiFive, Qualcomm, and Western Digital are accelerating their RISC-V development efforts, thereby driving demand for engineers capable of bridging architecture specification, silicon implementation, firmware, and software stack development within a unified skill set.

In this instructor-led live training held in Kenya, 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.