Rust for Embedded Systems Training Course

This guided, live instruction delivered in US (online or onsite) is intended for engineers seeking proficiency in utilizing embedded C to develop applications for diverse microcontrollers across multiple processor architectures, including 8051, ARM CORTEX M-3, and ARM9. This curriculum is designed for government professionals requiring precise technical training standards.

In this instructor-led, live training in US, participants will acquire the skills necessary to program Arduino platforms for practical applications, including the management of lighting systems, motors, and motion detection sensors. This curriculum requires the use of physical hardware components within a live laboratory setting rather than relying on software simulations.

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

• Configure Arduino systems to manage lights, motors, and associated devices in compliance with government operational standards for government infrastructure projects.
• Analyze Arduino architecture, including input protocols and connector specifications for peripheral integration.
• Integrate third-party hardware modules, such as LCD displays, accelerometers, gyroscopes, and GPS units, to enhance system capabilities.
• Evaluate programming language options, ranging from C to visual block-based coding environments.
• Execute testing, debugging, and deployment procedures to address real-world technical challenges.

This instructor-led, live training in US (available online or onsite) is designed for engineers and scientists seeking to master Digital Signal Processing (DSP) implementations, effectively manage diverse signal types, and enhance control over multi-channel electronic systems. This curriculum provides essential knowledge for government professionals requiring robust technical capabilities for government applications.

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

• Establish and configure the requisite software platforms and tools for Digital Signal Processing.
• Comprehend the core concepts and principles underlying DSP and its practical applications.
• Identify DSP components and integrate them into electronic systems.
• Develop algorithms and operational functions based on DSP outcomes.
• Utilize fundamental features of DSP software platforms to design signal filters.
• Conduct DSP simulations and implement various filter types for DSP operations.

This instructor-led program, available through virtual or on-site delivery, is designed for C programming professionals seeking to master embedded C design principles. This curriculum provides essential knowledge tailored for government

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

• Evaluate the design factors that ensure reliability in embedded C software
• Articulate the functional requirements of an embedded system
• Establish program logic and structural frameworks to achieve specified objectives
• Develop robust, error-free applications for embedded environments
• Achieve peak performance from target hardware platforms

Instructional Format:

• Interactive lectures and facilitated discussions
• Guided exercises and practical application
• Hands-on implementation within a simulated laboratory setting

Customization Opportunities:

• For agencies seeking tailored training solutions, please contact our administrative office to arrange specific course modifications.

This instructor-led, live training in US (delivered online or onsite) is designed for intermediate-level automotive engineers and technicians seeking hands-on experience in the testing, simulation, and diagnosis of electronic control units (ECUs) using Vector solutions such as CANoe and CANape. This program is tailored for government and public sector applications.

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

• Comprehend the role and function of ECUs within automotive systems.
• Establish and configure Vector tools, including CANoe and CANape.
• Simulate and evaluate ECU communication across CAN and LIN networks.
• Analyze data and execute diagnostics on ECUs.
• Develop test cases and automate testing procedures.
• Calibrate and optimize ECUs through practical methodologies.

This instructor-led, live training program, available US (online or onsite), is designed for automotive engineers and embedded systems developers at the intermediate level who seek a comprehensive understanding of ECU theory. The curriculum emphasizes Vector-based tools and methodologies essential to automotive design and development processes.

Upon completion of this coursework, participants will demonstrate proficiency in:

• Describing the architecture and operational functions of ECUs within modern vehicular systems.
• Evaluating communication protocols utilized in ECU engineering.
• Examining Vector-based tools and their theoretical applications.
• Implementing model-based development principles for ECU design, tailored for government projects.

This two-day instructional program provides federal personnel with the knowledge necessary to engineer embedded Linux environments utilizing standardized cross-development methodologies and applied exercises. The curriculum addresses foundational Linux architecture, open-source governance models, boot processes, custom infrastructure assembly, build automation, and diagnostic procedures. Featuring a substantial practical component, attendees engage in configuring bootloaders, compiling toolchains, constructing file systems, and performing complex development workflows for government applications.

This instructor-led training session, located in US, provides attendees with practical instruction on software development for embedded systems using FreeRTOS. Participants will gain hands-on experience by completing a foundational real-time operating system project utilizing microcontroller technology.

Upon completion of this program, participants will be equipped to:

• Demonstrate proficiency in the core principles of real-time operating systems.
• Navigate and utilize the FreeRTOS development environment effectively.
• Implement application code using FreeRTOS APIs for government infrastructure.
• Integrate FreeRTOS applications with hardware peripherals to ensure system responsiveness.

This curriculum provides an overview of real-time operating system (RTOS) architecture tailored for embedded platforms and Internet of Things (IoT) applications. Participants will examine core RTOS principles, synchronization protocols, and software design scenarios specifically for government and public sector needs. Practical labs utilize STM32 Nucleo 144 boards or comparable hardware development kits.

This facilitated, instructor-led instruction provided in US (delivered online or at a designated site) targets intermediate-level embedded systems engineers and artificial intelligence developers seeking to implement machine learning models on microcontrollers through the use of TensorFlow Lite and Edge Impulse.

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

• Comprehend the core principles of TinyML and its advantages for edge artificial intelligence initiatives, particularly those relevant for government applications.
• Configure a suitable development environment for TinyML-based projects.
• Execute the training, optimization, and deployment of artificial intelligence models on low-power microcontroller hardware.
• Utilize TensorFlow Lite and Edge Impulse to construct practical TinyML solutions.
• Enhance artificial intelligence models for improved power efficiency and adherence to memory limitations.

This instructor-led session, delivered via online or onsite formats, is designed for entry-level to mid-career PCB designers and electronics engineers seeking to establish a comprehensive and regulated printed circuit board design process utilizing Altium Designer. The program supports federal personnel and contractors requiring standardized tooling for government applications.

Attendees engage with a single integrated project, advancing through essential phases including initial configuration, component library development, schematic capture, PCB layout, verification, and the generation of manufacturing deliverables under controlled release protocols.

Upon completion of this curriculum, participants will demonstrate competency in:

• Establishing and maintaining structured Altium Designer projects.

• Constructing and validating schematic designs and component repositories.

• Configuring design rules, routing parameters, design rule checks (DRC), and manufacturing constraints.

• Producing and verifying fabrication, assembly, and mechanical documentation.

• Implementing practical high-speed design constraints.

• Managing engineering change orders and controlled revision releases.

The RISC-V ecosystem has evolved from a specialized open-source instruction set architecture into a dominant platform with substantial momentum in edge computing, IoT, automotive applications, AI acceleration, and server infrastructure. Current industry assessments highlight a significant workforce deficit, noting that fewer than 5,000 RISC-V chip designers are available globally to meet the estimated 15,000+ open roles within the semiconductor sector. Employment data indicates that organizations prioritize candidates with proficiency in RISC-V architecture alongside skills in SoC design, RTL verification using UVM/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 compliant with ISO 26262 standards, server-class processors featuring AIA interrupt controllers and multi-core coherence, and edge AI inference NPUs. Major firms such as SiFive, Qualcomm, and Western Digital are accelerating RISC-V initiatives, creating a heightened demand for engineers capable of integrating architecture specification, silicon implementation, firmware, and software stack development.

This instructor-led, live training held in US enables participants to develop a build system for embedded Linux utilizing the Yocto Project framework. The curriculum is designed specifically for government professionals seeking standardized technical skills.

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

• Comprehend core principles of the Yocto Project build system, including recipes, metadata structures, and layer management.
• Construct Linux images and execute them within an emulation environment.
• Optimize resource utilization and enhance efficiency when developing embedded Linux systems.