Model Based Development for Embedded Systems Training Course

This instructor-led, live training in Italy (online or onsite) is designed for engineers who want to learn how to use embedded C to program various microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led, live training in Italy, 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.

Buildroot is an open-source initiative featuring scripts designed to generate a cross-compilation toolchain, a customizable root filesystem image, and a Linux kernel tailored for embedded devices. Throughout this hands-on course, participants will acquire the skills to utilize the framework effectively:

• Selecting the appropriate software packages to include in the root filesystem.
• Introducing new packages and modifying existing ones.
• Adding support for new embedded hardware boards.

Participants will produce bootable filesystem images during the training. For remote sessions, the QEMU emulator is utilized, while classroom settings allow for the use of either QEMU or actual embedded boards selected by the instructor.

Projects with comparable objectives include the Yocto project and OpenWRT. To help determine the most suitable tool for your specific requirements, please review these presentations.

This instructor-led, live training in Italy (online or onsite) is aimed at engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize 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 Italy (online or onsite) 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:

• 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 Italy (online or onsite) targets intermediate-level automotive engineers and technicians seeking hands-on experience in testing, simulating, and diagnosing ECUs using Vector tools like CANoe and CANape.

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

• Comprehend the role and function of ECUs within automotive systems.
• Set up and configure Vector tools, including CANoe and CANape.
• Simulate and test ECU communication over 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 Italy (online or on-site) is designed for 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 Italy (online or onsite) is designed for 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.

The LEDE Project (Linux Embedded Development Environment) is a Linux operating system derived from OpenWrt. It serves as a comprehensive substitute for the proprietary firmware typically provided by manufacturers for various wireless routers and non-networking devices.

During this instructor-led live training, participants will gain the skills necessary to configure a wireless router running LEDE.

Audience

• Network administrators and technicians

Course Format

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

This instructor-led, live training in Italy (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers who aim to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

• Grasp the core principles of TinyML and its advantages for edge AI applications.
• Configure a development environment suitable for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Leverage TensorFlow Lite and Edge Impulse to build practical TinyML solutions.
• Enhance AI models for better power efficiency and to meet memory limitations.

This instructor-led, live training in Italy (online or onsite) is designed for engineers seeking to master the design principles of microcontrollers.

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

Through this instructor-led live training, participants will learn how to configure and program 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.
• Program the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Grasp the Raspberry Pi's architecture, including input/output ports and connectors for add-on devices.
• Evaluate the available options regarding programming languages and operating systems.
• Test, debug, and deploy the Raspberry Pi to address real-world challenges.

Audience

• Developers
• Hardware and software technicians
• Technical professionals across all industries
• Hobbyists

Format of the course

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

Note

• The Raspberry Pi supports various operating systems and programming languages. This course utilizes Linux-based Raspbian as the operating system and Python as the programming language. To request a different setup, please contact us to arrange.
• Participants are responsible for purchasing their own Raspberry Pi hardware and components.

This instructor-led, live training in Italy (online or onsite) is designed for engineers aiming to write, load, and run machine learning models on compact 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 speech detection, image classification, and similar functions.
• Integrate AI into hardware devices without relying on network connectivity.

In this instructor-led, live training session located in Italy, 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:

• Comprehend the fundamental concepts underlying the 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.

Description

This four-day training program blends theoretical knowledge with practical exercises to introduce participants to the Yocto Project.
It addresses common inquiries such as:

• Is it truly necessary to maintain a distinct toolchain, library, and package version for every GNU/Linux project, alongside a separate workflow?
• Can you guarantee that the development environment remains consistent across all developers and suppliers, enabling you to reproduce identical builds today and in the future (10+ years)?
• Can the YP assist in identifying the software licenses applicable to the packages you utilize?

Practical sessions are conducted on target hardware (e.g., Beagle Bone Black Rev. C - http://beagleboard.org/BLACK). Upon completion of the training, you will receive a Docker image containing Ubuntu 14.x with all dependencies pre-installed, along with course examples, allowing you to practice with the materials in your own lab environment. Please note that this is not an introductory course for Embedded GNU/Linux. Prior knowledge of how Embedded GNU/Linux functions, including kernel and driver configuration and build processes, is required.

Who should attend?

This course is designed for individuals who already use GNU/Linux in their projects and have heard of the Yocto Project but have hesitated to explore it further or have encountered difficulties using it. If you are unsure how your daily workflow fits into the YP and find the YP generally complex or question its necessity compared to simpler existing methods, this training will help you determine if the YP is the right solution. The workshop is aimed at software engineers, development engineers, system engineers, testers, administrators, and other interested parties who possess solid knowledge of Embedded GNU/Linux.