Online Embedded Systems Training in US

This program, **Rust for Embedded Systems**, provides instruction on applying intermediate-level Rust to resource-constrained, low-level hardware environments. The curriculum addresses essential topics including toolchain management, safety protocols, real-time system requirements, and deployment procedures. This instructor-led training is available in online or onsite formats and is designed for intermediate-level Rust developers and embedded systems engineers seeking to construct secure and reliable firmware. Upon completion of this training, participants will demonstrate the capability to: * Establish and configure a Rust embedded toolchain alongside a debugging environment. * Develop idiomatic, memory-safe firmware utilizing *no_std* and *embedded-hal* abstractions. * Architect and implement concurrency and interrupt-safe code within Rust. * Deploy, debug, and benchmark Rust firmware on physical hardware platforms. **Course Delivery Methods** * Interactive lectures and discussions. * Practical labs utilizing physical or simulated hardware environments. * Guided exercises featuring incremental code development and live debugging sessions. **Customization Options** For government entities or other organizations seeking tailored instructional solutions, please contact our administrative team to arrange customized training specifications.

This instructor-led, live training in US (online or onsite) is designed for developers and embedded systems engineers who wish to leverage Rust for embedded systems programming. Participants will gain the necessary skills to develop robust and efficient embedded applications that align with public sector workflows and governance. By the end of this training, participants will be able to: - Set up a development environment for Rust embedded systems programming. - Understand and work with microcontrollers and their peripherals using Rust. - Write efficient and reliable code for resource-constrained embedded systems. - Handle concurrency and real-time requirements in embedded applications. - Interface with hardware and use low-level abstractions in Rust. - Apply power management and low-power optimization techniques in embedded systems, ensuring alignment with standards and accountability for government projects.

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 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.

Embedded systems are specialized computing devices designed to perform specific functions within larger systems. The Internet of Things (IoT) is a network of interconnected physical devices equipped with sensors and software that communicate and exchange data over the internet. This instructor-led, live training (available online or onsite) is tailored for beginner-level technical professionals who wish to understand and apply embedded systems and IoT concepts using C programming and microcontroller architectures. By the end of this training, participants will be able to: - Understand the architecture and components of embedded systems. - Write and compile C code for interacting with embedded hardware. - Work with microcontroller peripherals such as timers and analog-to-digital converters (ADCs). - Understand how embedded systems contribute to IoT architectures. **Format of the Course** - Interactive lecture and discussion - Numerous exercises and practice sessions - Hands-on implementation in a live-lab environment **Course Customization Options for Government** To request a customized training program for government use, please contact us to arrange.

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.

Is C++ suitable for embedded systems such as microcontrollers and real-time operating systems?

Should object-oriented programming be used in microcontrollers?

Is C++ too far removed from the hardware to be efficient?

This instructor-led, live training addresses these questions and demonstrates through discussion and practice how C++ can be effectively utilized to develop embedded systems with code that is accurate, readable, and efficient. Participants apply theoretical knowledge by creating a sample embedded application in C++.

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

• Understand the principles of object-oriented modeling, embedded software programming, and real-time programming
• Produce code for embedded systems that is compact, fast, and secure
• Avoid unnecessary overhead from templates, exceptions, and other language features
• Comprehend the challenges associated with using C++ in safety-critical and real-time systems
• Debug a C++ program on a target device

Audience

• Developers
• Designers

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice for government professionals

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 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.

This training is designed to introduce C++ as an extension of C, particularly for object-oriented embedded system development. Given that C++ encompasses C, this course provides a natural progression from C to C++, delving into how C++ is implemented. This understanding is especially valuable when applying C++ in resource-limited embedded environments. The C++ standard has recently undergone significant revisions with the introduction of C++11 and the upcoming C++14. This course addresses key features introduced in these revisions, such as high-performance memory management, concurrency for multicore environments, and programming close to the hardware.

GOAL/BENEFITS

The primary objective of this class is to enable participants to use C++ correctly and effectively.

• Introduce C++ as an object-oriented language suitable for embedded systems
• Highlight the similarities and differences between C and C++
• Understand various memory management strategies, particularly the move semantics introduced in C++11
• Examine how different paradigms in C++ translate into machine code
• Leverage templates for type-safe high-order abstractions in bare-metal programming, including memory-mapped I/O and interrupts, especially variadic templates from C++11
• Explore useful design patterns applicable in an embedded context
• Practice concepts through a series of exercises

AUDIENCE/PARTICIPANTS

This training is intended for C++ programmers who plan to start using C++ in an embedded system context, particularly for government applications.

PREVIOUS KNOWLEDGE

The course requires a foundational understanding of C++ programming, equivalent to the knowledge gained from our “C++ – Level 1” and “C++ Level 2 – Introducing C++11” trainings.

PRACTICAL EXERCISES

Participants will practice the presented concepts through a series of exercises. We will utilize the open-source integrated development environment from Eclipse, ensuring that all tools are accessible and free for government use.

This instructor-led, live training in [location] (online or onsite) is aimed at engineers who wish to design high-performance embedded systems using Field-Programmable Gate Arrays (FPGAs). By the end of this training, participants will be able to: - Install and configure the FPGA software tools necessary for designing and simulating an embedded system. - Choose the most appropriate FPGA architecture for a specific application. - Develop and improve various FPGA designs to meet project requirements. This training is designed to align with public sector workflows, governance, and accountability standards, ensuring that participants are well-equipped to apply their knowledge effectively in projects for government.

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.

Embedded Linux & Yocto is a build framework and development ecosystem utilized to create customized Linux distributions for embedded devices. This instructor-led, live training (available online or onsite) is designed for beginner to intermediate level embedded developers who aim to use Embedded Linux and the Yocto Project to develop, customize, and deploy Linux-based systems on an i.MX6 hardware platform. By the end of this training, participants will be able to: - Understand the architecture of an embedded Linux system on an i.MX6 platform, including the bootloader, kernel, device tree, and root filesystem. - Set up a build environment using the Yocto Project (Poky + BitBake) tailored for the i.MX6 board. - Construct a custom Linux image, install it on the hardware, and execute user-space applications. This training is aligned with best practices for government to ensure efficient and secure development processes in public sector workflows.

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 in US (online or onsite) is aimed at engineers who wish to implement NetApp ONTAP for government environments. 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).

This instructor-led, live training (online or onsite) is designed for government developers who wish to utilize C to incorporate object-oriented programming techniques and enhance software design.

By the end of this training, participants will be able to implement object-oriented concepts in C, design modular applications, apply encapsulation and abstraction, and structure maintainable codebases for government use.

This instructor-led, live training, available both online and on-site, is designed for embedded engineers and system administrators who aim to build, customize, and deploy OpenBMC firmware for server management. The course aligns with the needs of professionals in the public sector, enhancing their capabilities to manage server environments efficiently and securely for government operations.

This instructor-led, live training, available both online and onsite, is designed for hardware validation and system test engineers who aim to implement, test, and troubleshoot IPMI and sensor management on OpenBMC platforms for government. The course will provide participants with the skills necessary to effectively manage and maintain these systems in alignment with public sector workflows, governance, and accountability standards.

This instructor-led, live training, available online or on-site, is designed for government security engineers and firmware developers who seek to enhance the security of OpenBMC deployments by protecting against unauthorized access and firmware tampering. The training aims to equip participants with the necessary skills to implement robust security measures for government systems, ensuring compliance with stringent public sector standards and governance requirements.

This instructor-led, live training, available both online and onsite, is designed for embedded Linux developers who aim to become proficient in the OpenBMC build system. Participants will learn how to customize layers and create production-ready BMC firmware images, aligning with best practices for government and industry standards.

The RISC-V environment has evolved from a specialized open-source instruction set architecture (ISA) to a widely adopted framework with substantial growth across edge computing, the Internet of Things (IoT), automotive systems, artificial intelligence acceleration, and server-grade processors. Current industry assessments highlight a significant deficit in qualified personnel, noting that fewer than 5,000 RISC-V chip designers are available globally, while the semiconductor sector has identified over 15,000 vacant positions. Hiring priorities for federal and defense contractors emphasize proficiency in RISC-V architecture alongside system-on-chip (SoC) design, register-transfer level (RTL) verification using UVM and SystemVerilog, AI accelerator development, Rust-based systems programming, confidential computing protocols, and open-source toolchain management. Rapidly expanding competency requirements include automotive-grade RISC-V compliant with ISO 26262 standards, server-class processor capabilities such as AIA interrupt controllers and multi-core coherence, and edge AI inference neural processing units (NPUs). Organizations such as SiFive, Qualcomm, and Western Digital have intensified their RISC-V initiatives, increasing the demand for specialized engineers capable of integrating architecture specification, silicon implementation, firmware development, and software stack engineering. This integrated approach is critical for delivering robust technology solutions for government missions.

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.

This course offers a thorough introduction to the Zig programming language, designed to equip participants with an understanding of its syntax, memory management, application development, and advanced features. Attendees will gain hands-on experience with Zig’s distinctive focus on safety, performance, and interoperability, which positions it as a robust alternative to languages such as C and Rust. The curriculum includes practical exercises to reinforce learning and enhance confidence in developing efficient, reliable programs for government use.