Embedded System Programme Training Course

This instructor-led, live training in US Empire (online or onsite) is aimed at engineers who wish to learn how to utilize embedded C for programming a variety of microcontrollers based on different processor architectures, such as 8051, ARM CORTEX M-3, and ARM9. The training is designed to align with the specific needs and standards required for government projects, ensuring that participants are well-equipped to handle the unique challenges and requirements of public sector workflows.

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

This instructor-led, live training in US Empire (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 in a public sector environment.
• Understand the basic principles behind circuits and electronics engineering as they pertain to government applications.
• Utilize primary electronic components to construct efficient computer hardware technologies suitable for government use.
• Optimize electronic devices by implementing circuit analysis methods that align with government standards and requirements.
• Apply the fundamentals of electronics and circuits to the development of enterprise applications tailored for government operations.

This instructor-led, live training in US Empire (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 for government.

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

• Set up and configure the necessary software platform and tools for digital signal processing.
• Understand the foundational concepts and principles that underpin DSP and its applications.
• Become familiar with DSP components and integrate them into electronic systems for government use.
• Develop algorithms and operational functions based on the results from DSP analysis.
• Utilize the essential features of DSP software platforms to design signal filters.
• Create and implement various types of filters through DSP simulations.

A two-day course designed to cover all essential design principles, complemented by practical code examples and the latest advancements in industrial technology. This course is highly beneficial for government automotive software developers, enhancing their skills and alignment with public sector workflows and governance.

This instructor-led, live training (online or onsite) is aimed at C developers wishing 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 make embedded C programs reliable for government use
• Define the functionality of an embedded system in alignment with public sector workflows
• Define the program logic and structure to obtain the desired result while ensuring governance and accountability
• Design a reliable, error-free embedded application for government operations
• Obtain optimal performance from target hardware in government environments

Format of the Course:

• Interactive lecture and discussion focused on government needs
• Exercises and practice tailored to public sector scenarios
• Hands-on implementation in a live-lab environment for government professionals

Course Customization Options:

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

This instructor-led, live training in US Empire (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 for government use.
• Set up and configure Vector tools like CANoe and CANape to meet specific requirements.
• Simulate and test ECU communication on Controller Area Network (CAN) and Local Interconnect Network (LIN) networks.
• Analyze data and perform diagnostics on ECUs to ensure reliable performance.
• Create comprehensive test cases and automate testing workflows for efficient quality assurance.
• Calibrate and optimize ECUs using practical and effective methods.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level automotive engineers and embedded systems developers who wish to understand 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 applications.

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

• Understand the architecture and functions of ECUs in modern vehicles for government use.
• Analyze communication protocols utilized in ECU development for government projects.
• Explore Vector-based tools and their theoretical applications in governmental contexts.
• Apply model-based development principles to ECU design for government systems.

In this instructor-led, live training in US Empire, 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 Empire (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:

• Create HDL systems with C code and Vivado tools.
• Generate and integrate soft processors in Vivado.
• Test and simulate C code using Vivado’s built-in tools.

This course provides an introduction to real-time operating system (RTOS) based software design for embedded systems and the Internet of Things (IoT). Participants will gain a foundational understanding of RTOS concepts, synchronization mechanisms, and practical scenarios for software design using RTOS. Hands-on exercises will be conducted using STM32 Nucleo 144 or similar development boards to enhance practical skills and knowledge for government applications.

This instructor-led, live training in US Empire (online or onsite) is designed for government engineers who wish to gain a thorough understanding of microcontroller design principles. The course aims to equip participants with the knowledge and skills necessary to effectively integrate these principles into public sector workflows, governance, and accountability processes.

The Raspberry Pi is a compact, single-board computer designed for versatile applications.

In this instructor-led, live training, participants will learn how to configure and program the Raspberry Pi to function as an interactive and powerful embedded system for government use.

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

• Set up an integrated development environment (IDE) to optimize development productivity
• Program the Raspberry Pi to control devices such as motion sensors, alarms, web servers, and printers
• Understand the architecture of the Raspberry Pi, including its inputs and connectors for add-on devices
• Explore various options in programming languages and operating systems suitable for government applications
• Test, debug, and deploy the Raspberry Pi to address real-world challenges in public sector environments

Audience

• Developers
• Hardware/software technicians
• Technical personnel from all industries
• Hobbyists

Format of the course

• Part lecture, part discussion, with exercises and extensive hands-on practice

Note

• The Raspberry Pi supports various operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language for government applications. To request a specific setup, please contact Govtra to arrange.
• Participants are responsible for purchasing the Raspberry Pi hardware and components.

This instructor-led, live training in US Empire (online or onsite) is aimed at engineers who wish to develop, deploy, and execute machine learning models on very small embedded devices for government use.

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

• Install TensorFlow Lite for government applications.
• Load machine learning models onto an embedded device to enable it to perform tasks such as speech detection and image classification without network connectivity.
• Incorporate artificial intelligence into hardware devices to enhance functionality and efficiency in public sector workflows.