Object Oriented Programming with C++ 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 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, available online or onsite, is designed for C developers eager to master embedded C design principles.

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

• Grasp the design considerations that ensure the reliability of embedded C programs
• Define the functionality of an embedded system
• Establish the program logic and structure necessary to achieve desired outcomes
• Design reliable, error-free embedded applications
• Achieve optimal performance from target hardware

Course Format:

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

Course Customization Options:

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

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.

This two-day program offers approximately 60% practical lab work centered on Embedded Linux kernel internals, architecture, and development. Participants will explore techniques for writing and integrating various types of device drivers.

Who should attend?

Engineers interested in Linux kernel development on Embedded systems and plateforms.

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

In this instructor-led live training in Turkey, 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.