Embedded System Programme Training Course

In this instructor-led live training in Norway, 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 Norway (online or onsite) is designed for engineers who want to master using embedded C to program various microcontrollers based on different processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led, live training in Norway, participants will learn how to program the 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 environment, rather than software-simulated hardware.

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

• Program the Arduino to control lights, motors, and other devices.
• Understand the Arduino's architecture, including inputs and connectors for add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend the Arduino's functionality.
• Understand the various programming language options, ranging from C to drag-and-drop languages.
• Test, debug, and deploy the Arduino to solve real-world problems.

This instructor-led live training guides participants through the process of building a robot using Arduino hardware alongside the Arduino (C/C++) programming language.

Upon completing this training, participants will be able to:

• Construct and operate a robotic system comprising both software and hardware elements
• Grasp the fundamental concepts underlying robotic technologies
• Integrate motors, sensors, and microcontrollers to create a functional robot
• Design 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 required hardware kit prior to the training, which will typically include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and connecting cables
• USB cable
• Vehicle kit
• Participants are required to procure their own hardware.
• For customized training arrangements, please contact us.

This instructor-led, live training in Norway (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 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 Norway (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:

• 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 in Norway (online or onsite) is designed for intermediate-level automotive engineers and technicians who want to gain hands-on 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:

• 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 Norway (online or onsite) is designed for intermediate-level automotive engineers and embedded systems developers seeking to grasp the theoretical foundations of ECUs, with a focus on Vector-based tools and methodologies employed in automotive design and development.

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

• Comprehend the architecture and functionalities of ECUs in contemporary vehicles.
• Analyze the 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 Norway, participants will learn 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 Norway (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 held in Norway (online or onsite) targets intermediate-level embedded systems engineers and AI developers who aim to deploy machine learning models on microcontrollers utilizing 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 solutions.
• Establish a development environment suitable for TinyML initiatives.
• Training, refining, and deploying AI models on power-efficient microcontrollers.
• Utilizing TensorFlow Lite and Edge Impulse to build practical TinyML applications.
• Enhancing AI models for improved power efficiency and to navigate memory limitations.

This instructor-led, live training in Norway (online or on-site) is tailored for engineers who wish to understand the core principles of microcontroller design.

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

In this guided live training, participants will learn how to configure and code 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 optimize development productivity
• Code the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Comprehend the Raspberry Pi's architecture, including input methods and connectors for expansion devices.
• Evaluate various programming languages and operating system options.
• Test, debug, and deploy the Raspberry Pi to address real-world challenges.

Audience

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

Course Format

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

Note

• The Raspberry Pi is compatible with multiple operating systems and programming languages. This course utilizes the Linux-based Raspbian operating system and Python as the programming language. For specific setup requirements, please contact us to make arrangements.
• Participants are responsible for acquiring the necessary Raspberry Pi hardware and components.

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