FPGA Design for Embedded Systems Training Course

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

In this instructor-led, live training in Argentina, 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 project consisting of scripts that 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 learn how to leverage the tool effectively:

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

  Participants will produce bootable filesystem images during the course. Remote sessions are conducted using the QEMU emulator, while in-person classes may utilize either QEMU or actual embedded boards selected by the instructor.

  Similar projects with comparable objectives include the Yocto project and OpenWRT. Please review these presentations to determine which option best suits your needs.

This instructor-led live training in Argentina (online or in-person) is designed for engineers and computer scientists who want to apply the core principles of circuits and electronics to design devices and systems that harness the properties of electrical components for hardware functionality.

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

• Install and configure the essential tools and software for circuit and PCB development.
• Grasp the foundational principles of circuit and electronics engineering.
• Use core electronic components to build efficient computer hardware technologies.
• Enhance electronic devices by applying circuit analysis techniques.
• Apply electronics and circuit fundamentals to the development of enterprise applications.

This instructor-led live training in Argentina (online or onsite) targets engineers and scientists who aim to learn and apply DSP implementations to efficiently handle various signal types and gain superior 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 foundational concepts and principles of DSP and its applications.
• Familiarize themselves with DSP components and apply them in electronic systems.
• Generate algorithms and operational functions using DSP results.
• Utilize basic DSP software platform features and design signal filters.
• Synthesize DSP simulations and implement various types of filters for DSP.

This instructor-led, live training in Argentina (online or onsite) targets intermediate-level automotive engineers and technicians seeking hands-on experience in testing, simulating, and diagnosing ECUs using Vector tools such as CANoe and CANape.

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

• Comprehend the role and function of ECUs in automotive systems.
• Set up and configure Vector tools like 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, offered in Argentina (online or onsite), targets intermediate-level automotive engineers and embedded systems developers interested in the theoretical aspects of ECUs. The curriculum focuses on Vector-based tools and methodologies utilized in automotive design and development.

Upon completing this training, participants will be equipped to:

• Grasp the architecture and functionality of ECUs in contemporary vehicles.
• Analyze the communication protocols integral to ECU development.
• Examine Vector-based tools and their theoretical applications.
• Implement model-based development principles in ECU design.

This instructor-led live training in Argentina (online or on-site) targets FPGA developers who want to use Vivado to design, debug, and implement hardware solutions.

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

• Develop HDL systems using 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 distribution derived from OpenWrt. It serves as a comprehensive alternative to vendor-provided firmware for numerous wireless routers and non-networking devices.

During this instructor-led live training, attendees will acquire the skills needed to configure a LEDE-based wireless router.

Audience

• Network administrators and technicians

Course Format

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

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

Upon completing this training, participants will be equipped to:

• Grasp the core principles 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 practical TinyML solutions.
• Optimize AI models to meet power efficiency and memory limitations.

This instructor-led, live training in Argentina (online or on-site) is aimed at engineers who wish to learn the design principles of microcontroller design.

Raspberry Pi is a compact, single-board computer.

In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to serve as an interactive and powerful embedded system.

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

• Set up an IDE (integrated development environment) for maximum development productivity
• Program Raspberry Pi to control devices such as motion sensor, alarms, web servers and printers.
• Understand Raspberry Pi's architecture, including inputs and connectors for add-on devices.
• Understand the various options in programming languages and operating systems
• Test, debug, and deploy the Raspberry Pi to solve real world problems

Audience

• Developers
• Hardware/software technicians
• Technical persons in all industries
• Hobbyists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

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

This instructor-led, live training in Argentina (online or onsite) is designed for 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.

In this instructor-led live training, 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.

Description

This four-day training merges theoretical concepts with practical exercises to introduce participants to the Yocto Project.
It addresses common questions such as:

• Is it truly necessary to employ a different version of toolchains, libraries, or packages for every GNU/Linux project, and does that necessitate a distinct workflow?
• Can you guarantee that the development environment remains consistent across all developers and suppliers, allowing you to reproduce identical builds today and even in over a decade?
• Can the YP assist in identifying the software licenses under which the packages you utilize are distributed?

Hands-on sessions are conducted on target hardware (e.g., Beagle Bone Black Rev. C - http://beagleboard.org/BLACK). Upon completing the training, you will receive a Docker image containing Ubuntu 14.x with all dependencies pre-installed, along with examples, enabling you to explore the course material in your own lab environment. Please note that this is not an introductory course to Embedded GNU/Linux. Prior knowledge of how Embedded GNU/Linux operates, including how to configure and build the GNU/Linux kernel and its drivers, is required.

Who should attend?

This course is designed for individuals who already use GNU/Linux in their projects and have heard about the Yocto Project but have hesitated to delve deeper or found it challenging to implement. If you are unsure whether and how your daily workflow can integrate with the YP, or if you generally find the YP complex and question the necessity of its intricacies compared to previously simpler methods, this training will help you determine if the YP suits your needs. The workshop is suitable for software developers, system engineers, testers, administrators, and other stakeholders interested in the YP who possess a solid understanding of Embedded GNU/Linux.