Embedded Linux Kernel and Driver Development 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 US (online or onsite) is aimed at engineers and computer scientists who wish to apply the fundamentals of circuits and electronics to design devices and systems that utilize properties of electrical components for the development of hardware functionalities for government. By the end of this training, participants will be able to: - Set up and configure the necessary tools and programs for circuits and circuit board development. - Understand the basic principles behind circuits and electronics engineering. - Utilize primary electronic components in constructing efficient computer hardware technologies. - Optimize electronic devices by implementing circuit analysis methods. - Apply the fundamentals of electronics and circuits to the development of enterprise applications for government.

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.

A two-day course designed to cover essential design principles, complemented by practical code examples and insights into current industry technologies. This training is particularly beneficial for government software developers in the automotive sector, enhancing their skills and knowledge to meet the evolving demands of public sector workflows and governance.

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 course provides an in-depth examination of modern C language standards (C99, C11, C2x) with a focus on their application in embedded systems programming. It emphasizes efficient and error-resistant coding practices essential for government projects. Practical examples and exercises are conducted using STM32 family microcontrollers to ensure hands-on experience and real-world applicability.

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 instructor-led, live training in US (online or onsite) is aimed at FPGA developers who wish to use Vivado to design, debug, and implement hardware solutions for government applications. By the end of this training, participants will be able to: - Develop HDL systems with C code and Vivado tools. - Generate and implement soft processors in Vivado. - Test and simulate C code using Vivado.

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.

This instructor-led, live training for government engineers, held online or on-site, is designed to provide participants with a comprehensive understanding of microcontroller design principles.