Embedded Linux Kernel and Driver Development Training Course

In this instructor-led, live training in Turkey, 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 Turkey (online or onsite) is designed for engineers who want to master the use of embedded C to program various microcontrollers across different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led live training in Turkey, participants will learn how to program Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. This course requires the use of actual hardware components in a live lab setting (rather than software-simulated hardware).

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

• Program Arduino to control lights, motors, and other devices.
• Gain an understanding of Arduino's architecture, including inputs and connectors for add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to expand Arduino's functionality.
• Explore various programming language options, ranging from C to drag-and-drop interfaces.
• Test, debug, and deploy Arduino solutions to address real-world challenges.

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 capable of:

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

Target Audience

• Software Developers
• Engineers
• Enthusiasts and Hobbyists

Course Format

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

Important Note

• The instructor will specify the required hardware kits prior to the training. These kits will generally include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and connecting cables
• USB cable
• Vehicle chassis kit
• Participants are responsible for purchasing their own hardware.
• For those interested in customizing this training, please reach out to us to make arrangements.

This instructor-led, live training in Turkey (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 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 Turkey (online or onsite) is aimed at 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:

• 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 Turkey (online or onsite) is designed for automotive engineers and technicians at an intermediate level who seek practical experience in testing, simulating, and diagnosing ECUs using Vector tools such as CANoe and CANape.

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

• Comprehend the role and functionality of ECUs within automotive systems.
• Set up and configure Vector tools like CANoe and CANape.
• Simulate and test ECU communication across CAN and LIN networks.
• Analyze data and perform diagnostics on ECUs.
• Develop test cases and automate testing workflows.
• Calibrate and optimize ECUs using practical methods.

This instructor-led live training in Turkey (online or onsite) is designed for intermediate automotive engineers and embedded systems developers seeking 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 equipped to:

• Understand the architecture and functions of ECUs in modern vehicles.
• Analyze communication protocols utilized 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 Turkey, participants will learn how to code using FreeRTOS by stepping 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 Turkey (online or onsite) is aimed at FPGA developers who wish to use Vivado to design, debug, and implement hardware solutions.

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

• Develop HDL systems with 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 Turkey (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:

• Grasp the core principles 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 practical TinyML solutions.
• Enhance AI models for power efficiency and address memory limitations.

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

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

Through this instructor-led live training, participants will acquire the skills to configure and program the Raspberry Pi to function as a robust and interactive embedded system.

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

• Configuring an IDE (integrated development environment) to maximize development efficiency
• Programming the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Gaining a comprehensive understanding of the Raspberry Pi’s architecture, including its inputs and connectors for add-on peripherals.
• Evaluating the available programming languages and operating system options.
• Testing, debugging, and deploying the Raspberry Pi to address real-world challenges.

Audience

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

Course Format

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

Note

• 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 setup, please contact us.
• Participants are responsible for purchasing the Raspberry Pi hardware and necessary components.

This instructor-led, live training in Turkey (online or onsite) targets engineers aiming to develop, deploy, and operate machine learning models on highly resource-limited embedded devices.

Upon completing this training, participants will be able to:

• Install TensorFlow Lite.
• Deploy machine learning models onto embedded devices to facilitate tasks such as speech detection and image classification.
• Integrate AI capabilities into hardware devices without dependence on network connectivity.