Real Time Operating System 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.

Buildroot is an open-source initiative featuring scripts designed to create a cross-compilation toolchain, a configurable root filesystem image, and a Linux kernel tailored for embedded devices. Throughout this hands-on course, attendees will learn how to leverage Buildroot effectively:

• Selecting the software components to include in the root filesystem.
• Adding new packages and modifying existing ones.
• Introducing support for new embedded boards.

Participants will produce bootable filesystem images during the training. Online sessions utilize the QEMU emulator, whereas classroom sessions allow for the use of either QEMU or real embedded boards, at the instructor's discretion.

Other projects with similar objectives include the Yocto project and OpenWRT. Please review these presentations to decide which tool best suits your requirements.

This instructor-led, live training in Nigeria (online or onsite) is aimed at engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize properties of electrical components for the development of hardware functionalities.

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

• Set up and configure the necessary tools and programs for circuits and circuit board development.
• Understand the basic principles behind circuits and electronics engineering.
• Utilize the primary electronic components in constructing efficient computer hardware technologies.
• Optimize electronic devices by implementing circuit analysis methods.
• Apply the fundamentals of electronics and circuits to the development of enterprise applications.

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.

This instructor-led live training in Nigeria (online or onsite) targets FPGA developers who want to leverage Vivado for designing, debugging, and implementing hardware solutions.

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

• Develop HDL systems using C code and Vivado tools.
• Generate and implement soft processors in Vivado.
• Test and simulate C code using Vivado.

The LEDE Project (Linux Embedded Development Environment) is a Linux operating system built upon OpenWrt. It serves as a comprehensive alternative to vendor-provided firmware for numerous wireless routers and non-network devices.

Through this instructor-led live training, participants will acquire the skills necessary to configure a wireless router running LEDE.

Audience

• Network administrators and technicians

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

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.

This instructor-led, live training in Nigeria (online or onsite) is designed for engineers who wish to learn the design principles of microcontroller design.

The Raspberry Pi is a compact, single-board computer.

In this instructor-led live training, participants will discover how to configure and program the Raspberry Pi to function as an interactive and robust embedded system.

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

• Configure an IDE (Integrated Development Environment) to maximize development productivity.
• Program the Raspberry Pi to manage devices such as motion sensors, alarm systems, web servers, and printers.
• Comprehend the Raspberry Pi’s architecture, including inputs and connectors for add-on devices.
• Evaluate the various programming languages and operating system options available.
• Test, debug, and deploy the Raspberry Pi to address real-world challenges.

Audience

• Software developers.
• Hardware and software technicians.
• Technical professionals across all industries.
• Hobbyists.

Course Format

• A blend of lectures, discussions, exercises, and intensive hands-on practice.

Note

• The Raspberry Pi supports a wide range of operating systems and programming languages. This course will utilise Linux-based Raspbian as the operating system and Python as the programming language. For specific setup requirements, please contact us to make arrangements.
• Participants are responsible for purchasing their own Raspberry Pi hardware and components.

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.

Description

This four-day training blends theoretical concepts with practical exercises to introduce participants to the Yocto Project.
It addresses common questions such as:

• Is it truly necessary to employ a different toolchain/libraries/packages version for every GNU/Linux project, alongside adhering to distinct workflows?
• Can you guarantee that the development environment remains consistent for all developers and suppliers, allowing for the production of identical builds over the next decade or more?
• Can the Yocto Project (YP) assist in identifying the software licenses associated with the packages you utilize?

Hands-on sessions are conducted on target hardware (e.g., Beagle Bone Black Rev. C - http://beagleboard.org/BLACK). Upon completion of the training, you will have access to download a Docker image containing Ubuntu 14.x with all dependencies pre-installed, along with the examples needed to work with the course material in your own lab environments. Please note that this is not an introductory course for Embedded GNU/Linux. You are expected to already understand how Embedded GNU/Linux operates, including how to configure and build the GNU/Linux kernel and its drivers.

Who should attend?

This course is designed for individuals who already use GNU/Linux for their projects and have likely heard of the Yocto Project but have been hesitant to explore it further or have found it difficult to use. If you are unsure whether and how your daily workflow can integrate with the YP, and generally find the YP rather complex, this course will help clarify why these tools are necessary when previous methods seemed simpler. After attending, you will be equipped to decide if the YP is suitable for your needs. The workshop is aimed at software engineers, development engineers, system engineers, testers, administrators, and other stakeholders interested in the YP who possess a solid understanding of Embedded GNU/Linux.