FPGA Design for Embedded Systems Training Course

This instructor-led, live training in US (online or onsite) is designed for engineers who seek to acquire the skills necessary to utilize embedded C for programming a variety of microcontrollers based on different processor architectures, including 8051, ARM Cortex-M3, and ARM9. The training aligns with professional development goals for government and industry professionals, ensuring participants gain practical knowledge that can be directly applied to enhance technical capabilities in their respective fields.

In this instructor-led, live training for government participants, attendees will learn how to program the Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. This course assumes the use of actual 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 various devices, including lights and motors. - Understand Arduino’s architecture, including inputs and connectors for add-on devices. - Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to enhance Arduino's capabilities. - Explore the different programming language options available, from C to drag-and-drop languages. - Test, debug, and deploy Arduino solutions to address real-world challenges.

This instructor-led, live training in [location] (online or onsite) is aimed at engineers and scientists who wish to learn and apply digital signal processing (DSP) implementations to efficiently manage 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 platforms and tools for government use in Digital Signal Processing. - Understand the foundational concepts and principles that underpin DSP and its applications. - Familiarize themselves with DSP components and integrate them into electronics systems. - Develop algorithms and operational functions based on DSP results. - Utilize the basic features of DSP software platforms to design signal filters. - Synthesize DSP simulations and implement various types of filters for DSP.

This instructor-led, live training (online or onsite) is designed for C developers who wish to learn embedded C design principles for government applications.

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

• Understand the design considerations that ensure the reliability of embedded C programs
• Define the functionality of an embedded system in a public sector context
• Determine the program logic and structure necessary to achieve the desired outcomes
• Create a reliable, error-free embedded application suitable for government use
• Optimize performance on target hardware to meet government standards

Format of the Course:

• Interactive lectures and discussions
• Exercises and practical applications
• Hands-on implementation in a live-lab environment

Course Customization Options:

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level automotive engineers and technicians who wish to gain hands-on experience in testing, simulating, and diagnosing Electronic Control Units (ECUs) using Vector tools such as 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 like CANoe and CANape for government use. - Simulate and test ECU communication on Controller Area Network (CAN) and Local Interconnect Network (LIN) networks. - Analyze data and perform diagnostics on ECUs. - Create test cases and automate testing workflows. - Calibrate and optimize ECUs using practical methods.

This instructor-led, live training in US (online or onsite) is aimed at intermediate-level automotive engineers and embedded systems developers who wish to gain a deeper understanding of the theoretical aspects of Electronic Control Units (ECUs), with a focus on Vector-based tools and methodologies used in automotive design and development for government projects. By the end of this training, participants will be able to: - Understand the architecture and functions of ECUs in modern vehicles. - Analyze communication protocols utilized in ECU development. - Explore the theoretical applications of Vector-based tools. - Apply model-based development principles to ECU design.

This two-day course is designed with approximately 60% hands-on labs, focusing on the internals, architecture, development, and integration of device drivers for the Embedded Linux kernel. Participants will gain practical experience in writing and integrating various types of device drivers. ### Who Should Attend? Engineers interested in developing Linux kernels for embedded systems and platforms are encouraged to attend this course. The content is tailored to enhance skills and knowledge in a field that is critical for government and industry applications, ensuring alignment with public sector workflows and governance standards.

This two-day instructional program provides federal personnel with comprehensive training in constructing embedded Linux environments using established cross-development methodologies. The curriculum examines the historical context of Linux, open-source governance models, bootloader configuration, and system architecture design. Emphasizing operational readiness through sixty percent hands-on laboratory exercises, participants will gain practical proficiency in configuring bootloaders, compiling toolchains, deploying file systems, and executing application debugging procedures. This course is designed specifically for government professionals seeking to enhance their capabilities in secure and compliant embedded system development.

In this instructor-led, live training in US, participants will gain an understanding of coding using FreeRTOS as they work through the development of a simple real-time operating system (RTOS) project on a microcontroller.

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

• Comprehend the fundamental concepts of real-time operating systems for government applications.
• Familiarize themselves with the FreeRTOS environment.
• Write code using FreeRTOS to align with public sector workflows and governance.
• Integrate a FreeRTOS application with hardware peripherals to support accountability in government projects.

This course provides an introduction to RTOS-based software design for embedded systems and IoT applications. Participants will gain a foundational understanding of RTOS concepts, synchronization mechanisms, and various scenarios for software design using RTOS. Practical exercises will be conducted using STM32 Nucleo 144 or similar development boards, ensuring hands-on experience that aligns with the technical requirements for government projects.

This instructor-led, live training (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers who are interested in deploying machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse for government applications. 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 suitable for TinyML projects. - Train, optimize, and deploy AI models on low-power microcontrollers. - Utilize TensorFlow Lite and Edge Impulse to implement practical TinyML applications. - Optimize AI models to meet power efficiency and memory constraints.

The RISC-V architecture has evolved from a specialized open-source instruction set interface into a dominant platform with expanding application across edge computing, the Internet of Things (IoT), automotive systems, artificial intelligence acceleration, and server infrastructure. Current workforce assessments highlight a substantial gap between available talent and industry demand, with fewer than 5,000 qualified designers globally competing for more than 15,000 open positions within the semiconductor sector. Federal and commercial entities seeking to align with public sector needs must prioritize candidates who demonstrate proficiency in RISC-V architecture alongside System-on-Chip (SoC) design, Register Transfer Level (RTL) verification using UVM or SystemVerilog, and development of AI accelerators. Essential technical competencies also include systems programming in Rust, implementation of confidential computing protocols, and mastery of open-source toolchains. Rapid growth is evident in automotive-grade applications adhering to ISO 26262 standards, server-class processing with advanced interrupt controllers and multi-core coherence, and neural processing units for edge AI inference. Industry leaders such as SiFive, Qualcomm, and Western Digital are intensifying development efforts, thereby increasing the requirement for engineers capable of integrating architecture specification, silicon implementation, firmware, and software stack development into a unified operational framework for government and critical infrastructure projects.

This instructor-led session, hosted in US, provides federal personnel with comprehensive instruction on engineering a build infrastructure for embedded Linux using the Yocto Project framework. Upon completion of this curriculum, attendees will demonstrate proficiency in the following areas: - Comprehending the core architectural components of the Yocto Project ecosystem, specifically regarding recipes, metadata management, and layer integration. - Constructing executable Linux images and validating their functionality within emulation environments. - Optimizing resource allocation by stream the development lifecycle for embedded Linux systems tailored for government applications.