Embedded Linux Kernel and Driver Development Training Course

In this instructor-led, live training in the UAE, 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 the UAE (online or onsite) is designed for engineers who want to master embedded C programming across various microcontroller architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led, live training in the UAE, participants will learn how to program the Arduino for real-world usage, such as to control 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 equips participants with the skills to build a robot utilizing Arduino hardware and the Arduino (C/C++) programming language.

Upon completion of this training, participants will be capable of:

• Constructing and operating a robotic system that integrates both software and hardware elements
• Grasping the fundamental principles underlying robotic technologies
• Integrating motors, sensors, and microcontrollers to create a functional robot
• Designing the mechanical framework of a robot

Target Audience

• Developers
• Engineers
• Enthusiasts

Course Format

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

Important Note

• The instructor will specify the hardware kits required prior to the training. These kits will typically include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and cables
• USB cable
• Vehicle chassis kit
• Participants are responsible for purchasing their own hardware.
• For customized training options, please contact us to make arrangements.

This instructor-led live training in the UAE (online or onsite) is designed for engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize the properties of electrical components for developing 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 the UAE (available online or onsite) targets engineers and scientists eager to learn and apply DSP implementations to efficiently handle diverse signal types and achieve better control over multi-channel electronic systems.

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

• Install and configure the necessary software platforms and tools for Digital Signal Processing.
• Understand the foundational concepts and principles of DSP and its applications.
• Become proficient with DSP components and utilize them in electronics systems.
• Create algorithms and operational functions using DSP results.
• Use basic features of DSP software platforms to design signal filters.
• Develop DSP simulations and implement various filter types for DSP.

This live, instructor-led training in the UAE (online or onsite) is tailored for intermediate-level automotive engineers and technicians seeking practical experience in testing, simulating, and diagnosing ECUs using Vector tools like CANoe and CANape.

Upon completion of this training, participants will be capable of:

• Gaining insight into the role and functionality of ECUs within automotive frameworks.
• Establishing and configuring Vector tools like CANoe and CANape.
• Simulating and evaluating ECU communication across CAN and LIN networks.
• Conducting data analysis and performing diagnostics on ECUs.
• Developing test scenarios and automating testing processes.
• Calibrating and refining ECUs through practical methodologies.

This instructor-led live training in the UAE (online or onsite) targets intermediate-level automotive engineers and embedded systems developers who aim to grasp the theoretical aspects of ECUs, emphasizing Vector-based tools and methodologies employed 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 the UAE, 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 instructor-led live training in the UAE (online or onsite) is designed for FPGA developers who intend to use Vivado to design, debug, and implement 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.

This instructor-led, live training in the UAE (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.

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

• Grasp the fundamentals of TinyML and its advantages for edge AI applications.
• Configure a development environment tailored for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Leverage TensorFlow Lite and Edge Impulse to build real-world TinyML applications.
• Enhance AI models for improved power efficiency and adherence to memory limitations.

This instructor-led, live training in the UAE (online or on-site) is designed for engineers who wish to master the design principles of microcontrollers.

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

In this instructor-led live training, attendees 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 able to:

• Configure an IDE (integrated development environment) to maximize development productivity
• Program the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Comprehend the Raspberry Pi's architecture, including the inputs and connectors available for add-on devices.
• Explore the diverse options available in programming languages and operating systems.
• Test, debug, and deploy the Raspberry Pi to address real-world challenges.

Target Audience

• Developers
• Hardware/software technicians
• Technical professionals across all industries
• Hobbyists

Course Format

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

Important Notes

• The Raspberry Pi supports a wide range of operating systems and programming languages. This course utilizes the Linux-based Raspbian operating system and Python as the programming language. To request a specific configuration, please contact us to make arrangements.
• Participants are responsible for purchasing the Raspberry Pi hardware and necessary components.

This instructor-led, live training in the UAE (online or on-site) targets engineers who wish to write, load, and run machine learning models on very small embedded devices.

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

• Install TensorFlow Lite.
• Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
• Add AI to hardware devices without relying on network connectivity.