Embedded Systems Training in Merida

Intermediate Rust for Embedded Systems concentrates on leveraging intermediate Rust techniques within resource-constrained, low-level hardware contexts. The course explores essential toolchains, safety patterns, real-time requirements, and deployment workflows.

This instructor-led live training, available online or onsite, targets intermediate Rust developers and embedded engineers aiming to create safe and reliable firmware using Rust.

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

• Set up and configure a Rust embedded toolchain alongside a 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 make arrangements.

This instructor-led, live training in Merida (online or onsite) is aimed at developers and embedded systems engineers who wish to leverage Rust for embedded systems programming and gain the necessary skills to develop robust and efficient embedded applications.

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

• Set up a development environment for Rust embedded systems programming.
• Understand and work with microcontrollers and their peripherals using Rust.
• Write efficient and reliable code for resource-constrained embedded systems.
• Handle concurrency and real-time requirements in embedded applications.
• Interface with hardware and use low-level abstractions in Rust.
• Apply power management and low-power optimization techniques in embedded systems.

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

This instructor-led, live training in Merida (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.

Embedded systems are specialized computing systems engineered to execute specific tasks within larger frameworks. The Internet of Things (IoT) refers to a network of physical devices integrated with sensors and software, enabling them to communicate and exchange data via the internet.

This instructor-led live training, available online or onsite, is designed for technical professionals at the beginner level who aim to grasp and apply concepts of embedded systems and IoT using C programming and microcontroller architectures.

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

• Comprehending the architecture and components of embedded systems.
• Writing and compiling C code to interact with embedded hardware.
• Utilizing microcontroller peripherals, such as timers and ADCs.
• Understanding the role of embedded systems within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live lab environment.

Customization Options for the Course

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

In this instructor-led, live training in Merida, participants will learn how to program the Arduino using advanced techniques as they step through the creation of a simple sensor alert system.

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

• Understand how Arduino works.
• Dig deep into the main components and functionalities of Arduino.
• Program the Arduino without using the Arduino IDE.

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

In this instructor-led live training, attendees will acquire the skills necessary to build a robot utilizing Arduino hardware and the Arduino (C/C++) programming language.

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

• Building and operating a robotic system that integrates both software and hardware elements
• Gaining a solid understanding of the fundamental concepts underlying robotic technologies
• Assembling motors, sensors, and microcontrollers to create a functional robot
• Designing the mechanical framework of a robot

Audience

• Developers
• Engineers
• Hobbyists

Course Format

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

Important Note

• The instructor will specify the hardware kits required before the training begins. These kits will generally include the following components:
• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave module
• Prototyping board and connecting cables
• USB cable
• Vehicle chassis kit
• Participants are responsible for purchasing their own hardware.
• For those interested in customizing this training, please reach out to us to make arrangements.

Is C++ a viable choice for embedded systems, including microcontrollers and real-time operating systems?

Should object-oriented programming be utilized in microcontroller development?

Does C++ abstract the hardware too much to be efficient?

This instructor-led, live training tackles these questions, demonstrating through discussion and practice how C++ can be leveraged to build embedded systems with code that is precise, readable, and efficient. Participants apply theory by developing 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 secure
• Avoid code bloat caused by templates, exceptions, and other language features
• Understand the challenges associated with using C++ in safety-critical and real-time systems
• Debug C++ programs on a target device

Audience

• Developers
• Designers

Format of the course

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

This instructor-led live training in Merida (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 (available online or in-person) is designed for C developers who want to master embedded C design principles.

Upon completing this training, participants will be able to:

• Grasp the design factors that ensure reliability in embedded C programs
• Define the functionality of an embedded system
• Establish the program logic and structure needed to achieve desired outcomes
• Design a reliable and error-free embedded application
• Optimize performance on target hardware

Course Format:

• Interactive lectures and discussions
• Practical exercises and practice sessions
• Hands-on implementation in a live laboratory environment

Customization Options:

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

This two-day course features approximately 60% hands-on labs designed to explore Embedded Linux kernel internals, architecture, and development, along with techniques 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 scratch using industry-standard cross-development tools and practical projects. This two-day course explores the history of Linux, open-source development models, bootloaders, custom system construction, build systems, and application debugging. With 60% hands-on implementation time, participants configure bootloaders, compile toolchains, build filesystems, and perform real-world embedded Linux development tasks.

This course introduces C++ as the natural evolution of C for object-oriented embedded system development. Since C++ is built upon C, this training guides participants from C to C++ seamlessly, providing insight into the underlying implementation of C++. Understanding this foundation is crucial when applying C++ in resource-constrained embedded environments. With the C++ standard undergoing significant updates, specifically with the introduction of C++11 and the upcoming C++14, this course focuses on features from these revisions that are particularly 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 class is to ensure you can utilize C++ in an embedded context "correctly" and effectively.

• Introduce C++ as an object-oriented alternative in the embedded system landscape
• Highlight the similarities and differences between C and C++
• Understand various memory management strategies, with a focus on move semantics introduced in C++11
• Examine the internal workings to see how different C++ paradigms translate to machine code
• Utilize templates to create type-safe, high-level abstractions for bare-metal, hardware-proximate programming—such as memory-mapped I/O and interrupts—leveraging variadic templates from C++11
• Present useful design patterns specifically applicable to embedded contexts
• Include practical exercises to reinforce key concepts

AUDIENCE/PARTICIPANTS

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

PREVIOUS KNOWLEDGE

The course assumes basic proficiency in C++ programming, equivalent to completion of 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-source and free integrated development environment provided by Eclipse.

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

Model-Based Development (MBD) is a software development methodology that enables faster, more cost-effective development of dynamic systems such as control systems, signal processing and communication systems. It relies on graphic modeling rather than the traditional text based programming.

In this instructor-led, live training participants will learn how to apply MBD methodologies to reduce development costs and accelerate the time to market of their embedded software products.

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

• Select and utilize the right tools for implementing MBD.
• Use MBD to carry out rapid development in the early stages of their embedded software project.
• Shorten the release of their embedded software into the market.

Format of the course

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

This instructor-led, live training in Merida (online or onsite) is intended for engineers who wish to implement NetApp ONTAP.

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

• Set up and administer an ONTAP 9.3 Cluster (3 days).
• Safeguard data through Data Protection technologies (2 days).

This instructor-led, live training in Merida (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 guided, live training (available online or on-site) is designed for embedded engineers and system administrators aiming to build, tailor, and deploy OpenBMC firmware for server management.

This instructor-led live training (available online or onsite) is designed for hardware validation and system test engineers who want 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, available online or onsite, is designed for embedded Linux developers who want to master the OpenBMC build system, customize layers, and produce production-ready BMC firmware images.

PCB (Printed Circuit Board) Circuit Design refers to the process of designing, etching, and printing circuits on a signal boards layout. EAGLE is a freely available desktop application for designing PCBs.

In this instructor-led, live training, participants will learn how to use the Eagle software to create PCB circuit boards. The course starts by examining a set of existing schematics, then drawing out an original circuit in Eagle. The training steps through process for designing the circuit board and discusses the process for manufacturing the boards (the course does not include the physical manufacturing of the boards).

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

• Create a Printed Circuit Board (PCB) from any schematic
• Create schematics and design circuit boards using Eagle
• Export the industry-standard files for constructing the circuit board

Audience

• Engineers
• Technicians

Format of the Course

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

Notes

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

In this instructor-led live training in Merida, 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.

This program offers a thorough introduction to the Zig programming language, exploring its syntax, memory management, application development capabilities, and advanced features. Participants will acquire practical experience with Zig’s distinctive approach to safety, performance, and interoperability, positioning it as a robust alternative to C and Rust. The curriculum incorporates hands-on exercises designed to reinforce learning and build confidence in writing efficient, reliable Zig programs.