FPGA Design for Embedded Systems Training Course

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

In this instructor-led, live training in Brazil, 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 actual hardware components within a live lab environment (rather than simulated software).

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

• Program Arduino to control lights, motors, and other devices.
• Grasp Arduino's architecture, including inputs and connectors for add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to expand Arduino's capabilities.
• Explore various programming language options, ranging from C to drag-and-drop interfaces.
• Test, debug, and deploy Arduino solutions to address real-world problems.

This instructor-led, live training in Brazil (online or on-site) targets 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 (available online or onsite) is designed for C developers who want to master embedded C design principles.

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

• Grasping the design considerations that ensure reliability in embedded C programs
• Defining the functionality of an embedded system
• Establishing the program logic and structure to achieve desired outcomes
• Designing reliable and error-free embedded applications
• Optimizing performance for target hardware

Course Format:

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

Customization Options:

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

This instructor-led, live training in Brazil (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 Brazil (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 two-day course features approximately 60% hands-on labs, concentrating on the internals and architecture of the Embedded Linux kernel, as well as development practices and techniques for writing and integrating various device drivers.

Target Audience

Engineers interested in developing for the Linux kernel on embedded systems and platforms.

Construct embedded Linux systems from the ground up 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% hands-on implementation time, participants will configure bootloaders, compile toolchains, build filesystems, and perform real-world embedded Linux development tasks.

In this instructor-led live training in Brazil, 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 core concepts of real-time operating systems.
• Learn the FreeRTOS environment.
• Gain proficiency in coding with FreeRTOS.
• Interface a FreeRTOS application with hardware peripherals.

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

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

• Understand the fundamentals of TinyML and its benefits for edge AI applications.
• Set up a development environment for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Use TensorFlow Lite and Edge Impulse to implement real-world TinyML applications.
• Optimize AI models for power efficiency and memory constraints.

This instructor-led live training in Brazil (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 niche open-source instruction set architecture (ISA) into a mainstream technology with substantial market momentum across edge computing, the Internet of Things (IoT), automotive systems, AI acceleration, and server-class processors. Industry reports highlight a significant talent gap: there are fewer than 5,000 RISC-V chip designers globally, compared to an estimated 15,000 or more open positions within the semiconductor industry. Key hiring trends indicate that employers prioritize proficiency in RISC-V architecture combined with skills in System-on-Chip (SoC) design, RTL verification using UVM/SystemVerilog, AI accelerator development, systems programming in Rust, confidential computing, and expertise with open-source toolchains. The fastest-growing competency areas include automotive-grade RISC-V (compliant with ISO 26262), server-class processors featuring AIA interrupt controllers and multi-core coherence, and edge AI inference NPUs. Companies such as SiFive, Qualcomm, and Western Digital have accelerated their RISC-V initiatives, driving demand for engineers capable of bridging architecture specifications, silicon implementation, firmware development, and software stack creation within a single skill set.

In this instructor-led live training in Brazil, 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.