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.

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 (available online or onsite) is designed for C developers seeking to master embedded C design principles.

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

• Grasp the design considerations that ensure the reliability of embedded C programs
• Define the functionality of an embedded system
• Establish program logic and structure to achieve desired outcomes
• Design robust, error-free embedded applications
• Maximize performance from the target hardware

Course Format:

• Interactive lectures and discussions
• Exercises and practical practice
• Hands-on implementation in a live laboratory environment

Customization Options:

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

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 two-day course is designed with approximately 60% hands-on labs, focusing on the internals and architecture of the Embedded Linux kernel, development practices, and exploring how to write and integrate 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 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.

In this instructor-led, live training in Argentina, 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 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 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).

The RISC-V ecosystem has evolved from a specialized open-source instruction set architecture (ISA) into a dominant mainstream architecture, gaining substantial market traction in edge computing, IoT, automotive systems, AI acceleration, and server-grade processors. Industry analysis highlights a pressing talent deficit: the global pool of RISC-V chip designers numbers fewer than 5,000, while demand for over 15,000 professionals exists within the semiconductor sector. Current recruitment trends indicate that employers are seeking candidates who combine proficiency in RISC-V architecture with expertise in SoC design, RTL verification (using UVM and SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain management. The most rapidly expanding competency areas include automotive-grade RISC-V compliance (ISO 26262), server-class processor capabilities such as AIA interrupt controllers and multi-core coherence, and edge AI inference NPUs. Major companies like SiFive, Qualcomm, and Western Digital are accelerating their RISC-V initiatives, creating intense demand for engineers capable of seamlessly integrating architecture specification, silicon implementation, firmware, and software stack development.

In this instructor-led live training in Argentina, 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.