Object Oriented Programming with C++ Training Course

In this instructor-led live training in Sweden, participants will learn to program the Arduino using advanced techniques while constructing a simple sensor alert system step-by-step.

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

• Grasp the fundamentals of how Arduino operates.
• Explore the core components and functionalities of the Arduino platform in depth.
• Program the Arduino without relying on the standard Arduino IDE.

This instructor-led, live training in Sweden (online or onsite) is designed for engineers looking to master embedded C programming for various microcontrollers across different processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led, live training in Sweden, 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.

During this instructor-led live training, attendees will acquire the skills necessary to build a robot utilizing Arduino hardware and the Arduino programming language (C/C++).

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

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

Audience

• Developers
• Engineers
• Hobbyists

Course Format

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

Note

• The instructor will specify the hardware kits required before the training begins; these will typically include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and cables
• USB cable
• Vehicle kit
• Participants are required to purchase their own hardware.
• For custom training options, please contact us to make arrangements.

This instructor-led, live training in Sweden (online or on-site) 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 online or on-site, is designed for C developers who want to master the design principles of embedded C.

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

• Understand the design factors that ensure reliability in embedded C programs
• Define the functionality of an embedded system
• Establish the program logic and structure required to achieve desired outcomes
• Design robust and error-free embedded applications
• Achieve optimal performance from the 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 Sweden (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 Sweden (online or onsite) is aimed at 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 two-day course comprises approximately 60% hands-on labs, concentrating 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 platforms.

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 Sweden, 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 FreeRTOS environment.
• Learn how to code with FreeRTOS.
• Interface a FreeRTOS application to hardware peripherals.

This instructor-led, live training in Sweden (online or onsite) is tailored for intermediate-level embedded systems engineers and AI developers who wish to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

Upon completing 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 solutions.
• Optimize AI models to meet power efficiency and memory limitations.

In this instructor-led live training in Sweden, 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:

• Grasp the fundamental concepts underlying a Yocto Project build system, including recipes, metadata, and layers.
• Construct a Linux image and run it under emulation.
• Save time and energy when building embedded Linux systems.