Embedded Systems and IoT Fundamentals Training Course

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 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 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 onsite) is aimed at engineers who wish to implement NetApp ONTAP.

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

• Set up and administer ONTAP 9.3 Cluster (3 days).
• Safeguard data through Data Protection technologies (2 days).

This instructor-led live training (online or onsite) is aimed at beginner to intermediate PCB designers and electronics engineers who wish to develop a complete and controlled PCB design workflow using Altium Designer.

Participants work on a single connected project, progressing from project setup and component libraries through schematic capture, PCB layout, and verification to manufacturing outputs and controlled production release.

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

• Create and manage structured Altium Designer PCB projects.

• Build 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 instructor-led live training in Norway, 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.