FPGA Design for Embedded Systems 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 training, available online or on-site, is designed for C developers who wish to master the design principles of embedded C.

Upon completion, 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 required to achieve desired outcomes
• Create reliable, error-free embedded applications
• Maximize the performance of the target hardware

Course Format:

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

Customization Options:

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

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.

This two-day course comprises approximately 60% hands-on labs, focusing on the internals of the Embedded Linux kernel, its architecture, development practices, and strategies for writing and integrating various types of device drivers.

Who should attend?

Engineers interested in Linux kernel development for embedded systems and platforms.

Develop embedded Linux systems from the ground up by utilizing industry-standard cross-development tools and engaging in practical projects. Over the course of two days, participants will explore Linux history, open-source development models, bootloaders, custom system construction, build systems, and application debugging. With 60% of the time dedicated to practical implementation, attendees will configure bootloaders, compile toolchains, construct filesystems, and perform real-world embedded Linux development tasks.

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).

The RISC-V ecosystem has evolved from a niche open-source Instruction Set Architecture (ISA) into a mainstream architectural choice, gaining substantial traction in edge computing, IoT, automotive systems, AI acceleration, and server-class processors. Industry analyses highlight a severe talent deficit: there are fewer than 5,000 RISC-V chip designers worldwide, yet over 15,000 positions remain open within the semiconductor sector. Current hiring priorities emphasize proficiency in RISC-V architecture combined with skills in SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain utilization. The most rapidly expanding competency areas include automotive-grade RISC-V (ISO 26262 compliance), server-class processors (featuring AIA interrupt controllers and multi-core coherence), and edge AI inference NPUs. Major companies such as SiFive, Qualcomm, and Western Digital have intensified their RISC-V development efforts, creating strong demand for engineers capable of spanning architecture specification, silicon implementation, firmware, and software stack development.

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.