FPGA Design for Embedded Systems Training Course

This instructor-led, live training session, delivered either virtually or in person, is designed for technical personnel seeking to acquire proficiency in using Embedded C to program diverse microcontroller platforms, including those based on 8051, ARM CORTEX M-3, and ARM9 architectures.

In this instructor-led, live training held in US, participants will acquire the skills necessary to program Arduino for real-world operational tasks, including the control of lighting, motor systems, and motion detection sensors. This course requires the utilization of physical hardware components in a live laboratory setting (excluding software-simulated environments).

By the conclusion of this training, participants will be capable of:

• Programming Arduino to manage lighting, motors, and auxiliary devices.
• Comprehending Arduino architecture, specifically input and connector interfaces for modular add-on devices.
• Integrating third-party components, including LCD displays, accelerometers, gyroscopes, and GPS trackers, to extend system functionality.
• Understanding various programming language options, from C-based code to visual drag-and-drop tools.
• Testing, debugging, and deploying Arduino systems to resolve practical operational issues.

This instructor-led, live training in US (online or onsite) is designed for engineers and scientists seeking to master and apply DSP implementations to efficiently manage diverse signal types and achieve enhanced control over multi-channel electronic systems for government operations.

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

• Establish and configure requisite software platforms and tools for Digital Signal Processing.
• Comprehend the foundational concepts and principles underpinning DSP and its strategic applications.
• Acquire proficiency in DSP components and integrate them effectively into electronic systems.
• Develop algorithms and operational functions utilizing DSP-derived data for government use cases.
• Utilize core features of DSP software platforms to design robust signal filters.
• Synthesize DSP simulations and implement varied filter architectures for DSP.

This instructor-led, live training (online or onsite) is aimed at C developers wishing to learn embedded C design principles for government.

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

• Understand the design considerations that make embedded C programs reliable
• Define the functionality of an embedded system
• Define the program logic and structure to obtain the desired result
• Design a reliable, error-free embedded application
• Obtain optimal performance from target hardware

Format of the Course:

• Interactive lecture and discussion
• Exercises and practice
• Hands-on implementation in a live-lab environment

Course Customization Options:

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

This instructor-led, live training in US (available online or onsite) is intended for intermediate-level automotive engineers and technicians seeking to develop hands-on expertise in the testing, simulation, and diagnosis of ECUs using Vector tools such as CANoe and CANape.

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

• Comprehend the operational role and functional capacity of ECUs within automotive systems.
• Install and configure Vector software platforms, including CANoe and CANape.
• Simulate and validate ECU communications across CAN and LIN network topologies.
• Process diagnostic data and execute troubleshooting procedures for ECUs.
• Develop test cases and implement automated testing workflows.
• Calibrate and optimize ECU parameters through applied methodologies.

This instructor-led, live training in US (delivered online or on-site) targets intermediate-level automotive engineers and embedded systems developers aiming to acquire theoretical proficiency in ECUs, particularly regarding Vector-based tools and methodologies utilized in automotive engineering for government applications.

Upon completion, participants will be prepared to:

• Interpret the architecture and operational functions of ECUs in contemporary vehicles.
• Assess communication protocols integrated into ECU development.
• Evaluate Vector-based tools and their theoretical implications.
• Apply model-based development frameworks to ECU design.

In this instructor-led, live training session held in US, participants will acquire the necessary skills to program using FreeRTOS while progressively developing a foundational RTOS project on a microcontroller platform.

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

• Comprehend the fundamental principles of real-time operating systems.
• Navigate the operational environment of FreeRTOS.
• Apply programming techniques specific to FreeRTOS.
• Establish interfaces between FreeRTOS applications and hardware peripherals.

This curriculum provides an introductory overview of RTOS-based software design for embedded systems and the Internet of Things (IoT) for government applications. Participants will acquire foundational knowledge of RTOS concepts, synchronization methodologies, and design patterns for RTOS-enabled software. Practical exercises for government users are conducted using STM32 Nucleo 144 development boards or equivalent hardware platforms.

This instructor-led live training in US (available online or on-site) targets intermediate-level embedded systems engineers and AI developers aiming to implement machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse for government operations.

Upon completion of this training, participants will demonstrate the ability to:

• Explain the core principles of TinyML and its operational advantages in edge AI contexts.
• Configure and manage a development environment suitable for TinyML initiatives.
• Train, refine, and implement AI models on low-power microcontrollers.
• Leverage TensorFlow Lite and Edge Impulse to develop practical TinyML solutions for government use cases.
• Enhance AI model performance regarding power efficiency and memory limitations.

This instructor-led, live training, available in online or onsite formats, is designed for beginner to intermediate-level PCB designers and electronics engineers who wish to develop a comprehensive and controlled PCB design workflow using Altium Designer.

Participants work on a single integrated project, progressing from project setup and component libraries through schematic capture, PCB layout, and verification to manufacturing outputs and controlled production release.

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

• Create and manage structured Altium Designer PCB projects.

• Build and validate schematic designs and component libraries.

• Configure PCB rules, routing, DRC, and manufacturing constraints.

• Generate and verify fabrication, assembly, and mechanical outputs.

• Apply practical high-speed design constraints.

• Manage engineering changes and controlled re-releases.

The RISC-V ecosystem has evolved from a specialized open-source instruction set architecture to a mainstream platform demonstrating significant market momentum across edge computing, IoT, automotive, AI acceleration, and server-class processor domains. Industry analyses indicate a critical talent shortage: fewer than 5,000 RISC-V chip designers are currently active globally, contrasted against an estimated 15,000+ open positions within the semiconductor sector. Key hiring trends reveal that employers prioritize RISC-V architecture proficiency combined with SoC design, RTL verification (UVM/SystemVerilog), AI accelerator development, Rust systems programming, confidential computing, and open-source toolchain expertise. The expansion of automotive-grade RISC-V implementations (ISO 26262), server-class processors (AIA interrupt controllers, multi-core coherence), and edge AI inference NPUs represents the fastest-growing competency areas. Organizations including SiFive, Qualcomm, and Western Digital have accelerated RISC-V development, driving demand for engineers capable of bridging architecture specification, silicon implementation, firmware, and software stack development within a unified skill set for government and public sector applications.

In this instructor-led, live training in US, participants will acquire the technical skills necessary to establish an embedded Linux build environment utilizing the Yocto Project for government systems.

Upon successful completion, participants will be equipped to:

• Comprehend the foundational architectures of the Yocto Project build system, including the management of recipes, metadata, and layers.
• Compile Linux images and execute them within emulated environments for testing and validation.
• Enhance operational efficiency in the development of embedded Linux systems for government infrastructure.