Object Oriented Programming with C++ Training Course

This live, instructor-led session in Denmark (delivered online or onsite) is designed for engineers aiming to apply embedded C to program diverse microcontrollers based on various processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led live training held in Denmark, participants will learn to program the Arduino for real-world applications, such as controlling lights, motors, and motion detection sensors. The course requires the use of physical hardware components in a live lab setting, not simulated environments.

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

• Program the Arduino to control lights, motors, and other devices.
• Understand the Arduino architecture, including inputs and connectors for add-on devices.
• Add third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend 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 in Denmark (online or onsite) is tailored for engineers and scientists looking to apply DSP implementations to handle different signal types efficiently 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 Denmark (online or onsite) targets intermediate automotive engineers and technicians aiming to build hands-on skills in testing, simulating, and diagnosing ECUs using Vector tools such as CANoe and CANape.

By the end of the session, participants will be able to:

• Comprehend the role and functionality of ECUs in vehicle systems.
• Set up and tailor Vector tools like CANoe and CANape.
• Simulate and test ECU interactions on CAN and LIN networks.
• Process data and run diagnostics on ECUs.
• Formulate test cases and automate testing procedures.
• Calibrate and fine-tune ECUs through practical techniques.

This live, instructor-led training in Denmark (available online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers seeking to grasp the theoretical aspects of ECUs, with a focus on the Vector-based tools and methodologies used in automotive design and development.

Upon completing this training, participants will be equipped to:

• Comprehend the architecture and functional roles of ECUs in modern vehicles.
• Analyze the communication protocols utilized in ECU development.
• Investigate Vector-based tools and their theoretical applications.
• Implement model-based development principles in ECU design.

In this instructor-led, live training conducted in Denmark, participants will learn to code using FreeRTOS while guiding a simple RTOS project from start to finish on a microcontroller.

By the end of the training, participants will be capable of:

• Understanding the core concepts of real-time operating systems.
• Exploring the FreeRTOS development environment.
• Writing code effectively using FreeRTOS.
• Connecting FreeRTOS applications to hardware peripherals.

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

Upon completion, participants will be capable of:

• Grasping the core principles of TinyML and its advantages for edge AI applications.
• Configuring a development environment tailored for TinyML projects.
• Training, refining, and implementing AI models on low-power microcontrollers.
• Leveraging TensorFlow Lite and Edge Impulse to build practical TinyML solutions.
• Optimizing AI models to meet power efficiency and memory limitations.

This instructor-led live training, conducted at Denmark (online or on-site), is designed for engineers aiming to implement NetApp ONTAP.

By the conclusion of this program, participants will be capable of:

• Setting up and administering an ONTAP 9.3 Cluster (3 days).
• Safeguarding data through Data Protection technologies (2 days).

This live, instructor-led training, available online or on-site, is designed for beginner to intermediate PCB designers and electronics engineers who want to develop a comprehensive and controlled PCB design workflow using Altium Designer.

Participants will engage in a single connected project, moving from project setup and component libraries through schematic capture, PCB layout, and verification, to the creation of manufacturing outputs and a controlled production release.

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

• Create and manage structured Altium Designer PCB projects.

• Develop and validate schematic designs and component libraries.

• Configure PCB rules, routing, DRC, and manufacturing constraints.

• Generate and verify fabrication, assembly, and mechanical outputs.

• Apply practical high-speed design constraints.

• Manage engineering changes and controlled re-releases.

In this live, instructor-led training session held in Denmark, participants will learn how to establish a Yocto Project-based build system for embedded Linux.

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

• Comprehend the foundational concepts of the Yocto Project build system, including recipes, metadata, and layers.
• Construct a Linux image and deploy it in an emulation environment.
• Streamline the process and resource consumption involved in building embedded Linux systems.