C++ for Embedded Systems Training Course

This instructor-led, live training in Mexico (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 Mexico, participants will learn how to program Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. This course requires the use of real hardware components within a live lab environment (rather than 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 its inputs and connectors for add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend Arduino's functionality.
• Understand the various programming language options available, ranging from C to drag-and-drop interfaces.
• Test, debug, and deploy Arduino solutions to address real-world problems.

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

• Select the appropriate software for inclusion in the root filesystem.
• Incorporate new packages and customize existing ones.
• Implement support for new embedded boards.

Throughout the session, participants will produce bootable filesystem images. Online courses utilize the QEMU emulator for delivery, whereas in-person classes may employ either QEMU or actual embedded boards selected by the instructor.

For those interested in alternative tools with similar objectives, the Yocto Project and OpenWRT are notable options. Please review these presentations to help determine which solution best aligns with your specific requirements.

This instructor-led, live training in Mexico (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 Mexico (online or onsite) is targeted at engineers and scientists who wish to learn and apply DSP implementations to efficiently manage different signal types and achieve 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 Mexico (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 Mexico (online or onsite) targets 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.

In this instructor-led live training in Mexico, participants will learn how to code using FreeRTOS as they step 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 in Mexico (online or onsite) targets 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-based operating system derived from OpenWrt. It serves as a comprehensive alternative to the vendor-provided firmware for a wide variety of wireless routers and non-networking devices.

Through this instructor-led live training, participants will learn how to configure and set up 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 Mexico (online or onsite) targets intermediate-level embedded systems engineers and AI developers seeking to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

• Understand the core principles of TinyML and its benefits for edge AI applications.
• Establish a development environment for TinyML initiatives.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Use TensorFlow Lite and Edge Impulse to create real-world TinyML applications.
• Optimize AI models for power efficiency and memory limitations.

This instructor-led, live training in Mexico (available online or in person) is designed for engineers who want to learn the fundamental principles of microcontroller design.

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

Through this instructor-led live training, participants will acquire the skills to configure and program the Raspberry Pi to function as a robust and interactive 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.
• Comprehend the Raspberry Pi's architecture, including inputs and connectors for peripheral devices.
• Evaluate the available options for programming languages and operating systems.
• Test, debug, and deploy the Raspberry Pi to address real-world challenges.

Audience

• Developers
• Hardware/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 the Linux-based Raspbian operating system and Python as the programming language. To request a different setup, please contact us to make arrangements.
• Participants are responsible for purchasing the Raspberry Pi hardware and components.

This instructor-led, live training in Mexico (online or onsite) is designed for engineers who aim to write, load, and run machine learning models on highly 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 it to detect speech, classify images, etc.
• Add AI to hardware devices without relying on network connectivity.

In this instructor-led, live training in Mexico, participants will learn how to create a build system for embedded Linux based on 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.