Embedded Systems Training in Uppsala

This course focuses on applying intermediate-level Rust techniques to resource-constrained, low-level hardware environments. It covers essential toolchains, safety patterns, real-time considerations, and deployment workflows.

Aimed at intermediate-level Rust developers and embedded engineers, this instructor-led live training (available online or onsite) provides the skills needed to build safe and reliable firmware using Rust.

Upon completion, participants will be able to:

• Set up and configure a Rust embedded toolchain and debugging environment.
• Write idiomatic, memory-safe firmware utilizing no_std and embedded-hal abstractions.
• Design and implement concurrency and interrupt-safe code in Rust.
• Deploy, debug, and benchmark Rust firmware on actual hardware.

Course Format

• Interactive lectures and discussions.
• Hands-on labs using physical or simulated hardware.
• Guided exercises featuring incremental code development and live debugging sessions.

Course Customization Options

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

This instructor-led, live training in Uppsala (online or onsite) is designed for developers and embedded systems engineers who want to utilize Rust for embedded programming and acquire the essential skills to build robust and efficient embedded applications.

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

• Establish a development environment for Rust-based embedded systems programming.
• Understand and utilize microcontrollers and their peripherals using Rust.
• Write efficient and reliable code tailored for resource-constrained embedded systems.
• Manage concurrency and real-time requirements within embedded applications.
• Interface with hardware and employ low-level abstractions in Rust.
• Apply power management and low-power optimization techniques to embedded systems.

This instructor-led, live training in Uppsala (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 Uppsala (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 instructor-led, live training in Uppsala (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.

Embedded systems are specialized computing environments engineered to execute specific tasks within broader apparatuses. The Internet of Things (IoT) represents a vast network of connected physical devices, equipped with sensors and software, enabling them to communicate and exchange information via the internet.

This instructor-led live training (available online or on-site) targets technical professionals at the beginner level who seek to grasp and implement embedded systems and IoT principles using C programming and microcontroller architectures.

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

• Comprehending the structure and constituent parts of embedded systems.
• Writing and compiling C code to facilitate interaction with embedded hardware.
• Utilizing microcontroller peripherals, including timers and ADCs.
• Grasping the role of embedded systems within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Practical implementation in a live laboratory environment.

Customization Options for the Course

• For requests regarding customized training for this course, please get in touch with us to make arrangements.

This instructor-led, live training in Uppsala (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 Uppsala, 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.

Is C++ appropriate for embedded systems, including microcontrollers and real-time operating systems?

Should object-oriented programming be employed in microcontrollers?

Is C++ too abstracted from the hardware to be efficient?

This instructor-led live training addresses these questions, demonstrating through discussion and practical exercises how C++ can be utilized to develop embedded systems with code that is accurate, readable, and efficient. Participants will apply theory to practice by creating a sample embedded application in C++.

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

• Grasp the principles of object-oriented modeling, embedded software programming, and real-time programming
• Generate code for embedded systems that is compact, fast, and safe
• Prevent code bloat resulting from templates, exceptions, and other language features
• Understand the challenges associated with using C++ in safety-critical and real-time systems
• Debug a C++ program on a target device

Audience

• Developers
• Designers

Course Format

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

This instructor-led, live training in Uppsala (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 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.

This training aims to introduce C++ as the natural evolution of C for object-oriented embedded system development. Since C++ encompasses C, this course guides you smoothly from C to C++, revealing the underlying mechanics of C++ implementation. This insight is particularly valuable when deploying C++ in resource-constrained embedded environments. With the C++ standard recently undergoing a major revision known as C++11, and C++14 following closely, this course covers new features that are especially beneficial, such as high-performance memory management, concurrency in multicore environments, and bare-metal programming close to the hardware.

GOAL/BENEFITS

The primary objective of this course is to enable you to use C++ in a 'correct' and effective manner.

• Introduce C++ as an object-oriented language alternative within the embedded system context
• Highlight the similarities and differences between C++ and C
• Understand various memory management strategies, particularly the move semantics introduced in C++11
• Examine the internals to understand how different C++ paradigms translate into machine code
• Utilize templates to create type-safe, high-level abstractions for bare-metal, hardware-close programming, including memory-mapped I/O and interrupts, with a focus on variadic templates introduced in C++11
• Present useful design patterns especially applicable in embedded contexts
• Include exercises to practice key concepts

AUDIENCE/PARTICIPANTS

This training is designed for C++ programmers who wish to begin using C++ in embedded system environments.

PREVIOUS KNOWLEDGE

The course requires basic knowledge of C++ programming, equivalent to our 'C++ – Level 1' and 'C++ Level 2 – Introducing C++11' trainings.

PRACTICAL EXERCISES

Throughout the training, you will practice the presented concepts through a series of exercises. We will use the open and free integrated development environment provided by Eclipse.

This instructor-led, live training in Uppsala (online or onsite) is aimed at engineers who wish to design high-performance embedded systems using FPGA.

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

• Install and configure the FPGA software tools needed to design and simulate an embedded system.
• Select the best FPGA architecture for an application.
• Develop and enhance various FPGA designs.

In this instructor-led, live training in Uppsala, 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 Uppsala (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 in Uppsala (online or onsite) is aimed at developers who wish to use C to apply object-oriented programming techniques and improve software design.

By the end of this training, participants will be able to: implement object-oriented concepts in C, design modular applications, apply encapsulation and abstraction, and structure maintainable codebases.

This instructor-led live training, offered online or on-site, targets embedded engineers and system administrators who wish to build, customize, and deploy OpenBMC firmware for server management.

This instructor-led, live training (online or onsite) is aimed at hardware validation and system test engineers who wish to implement, test, and troubleshoot IPMI and sensor management on OpenBMC platforms.

This instructor-led, live training (online or onsite) is aimed at security engineers and firmware developers who wish to harden OpenBMC deployments against unauthorized access and firmware tampering.

This instructor-led, live training session (available online or onsite) is designed for embedded Linux developers aiming to master the OpenBMC build system, customize layer configurations, and produce production-ready BMC firmware images.

In this instructor-led live training in Uppsala, 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.

This course offers a thorough introduction to the Zig programming language, exploring its syntax, memory management, application development, and advanced features. Participants will gain practical experience with Zig's distinctive approach to safety, performance, and interoperability, establishing it as a robust alternative to C and Rust. The curriculum includes practical exercises designed to reinforce learning and build confidence in writing efficient, reliable Zig programs.