Efficient microcontroller programming in C 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 designed for intermediate-level embedded systems engineers and artificial intelligence developers who wish to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

• Understand the foundational principles of TinyML and its advantages for edge AI applications in various sectors, including those for government.
• Establish a development environment suitable for TinyML projects.
• Train, optimize, and deploy artificial intelligence models on low-power microcontrollers.
• Utilize TensorFlow Lite and Edge Impulse to develop practical TinyML applications.
• Enhance AI models for improved power efficiency and memory management.

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.

This course provides an overview of common serial interfaces utilized in embedded systems, along with practical insights into their implementation. The material is complemented by hands-on exercises that utilize STM32 microcontrollers, designed to enhance technical skills and knowledge for government professionals.

This course covers the fundamental aspects of USB device programming and the practical application of STM32CubeIDE for developing USB device firmware, tailored specifically for government. It provides a comprehensive overview of essential techniques and tools necessary for effective firmware development in alignment with public sector workflows and governance standards.