USB Device programming with STM32CubeIDE Training Course

This instructor-led, live training in Slovakia (online or onsite) is designed for engineers who wish to learn how to utilize embedded C to program various microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led live training in Slovakia, participants will learn how to program Arduino for real-world usage, such as to control 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 lights, motors, and other devices.
• Understand Arduino's architecture, including inputs and connectors for add-on devices.
• Add third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend Arduino's functionality.
• Understand the various options in programming languages, from C to drag-and-drop languages.
• Test, debug, and deploy the Arduino to solve real world problems.

This course explores modern C language dialects (C99, C11, C2x) as applied to embedded systems, providing guidelines for developing efficient and robust code. Practical examples and exercises are implemented using STM32 family microcontrollers.

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate-level embedded systems engineers and AI developers who want to deploy machine learning models on microcontrollers utilizing TensorFlow Lite and Edge Impulse.

Upon completing this training, participants will be able to:

• Grasp the core principles of TinyML and its advantages for edge AI applications.
• Configure a development environment tailored for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Leverage TensorFlow Lite and Edge Impulse to build real-world TinyML solutions.
• Optimize AI models to meet power efficiency and memory constraints.

This instructor-led, live training in Slovakia (online or onsite) is intended for engineers who want to learn the design principles of microcontrollers.

The Raspberry Pi is a compact, single-board computer.

Through this instructor-led live training, attendees will discover how to configure and code the Raspberry Pi to function as a highly capable and interactive embedded system.

Upon completing this training, participants will gain the ability to:

• Configure an IDE (integrated development environment) to maximize development efficiency
• Code the Raspberry Pi to manage devices like motion sensors, alarms, web servers, and printers
• Comprehend the Raspberry Pi's architecture, including its input mechanisms and connectors for expansion boards
• Evaluate the available programming languages and operating system choices
• Test, troubleshoot, and deploy the Raspberry Pi to address real-world challenges

Audience

• Developers
• Hardware/software technicians
• Technical professionals across all sectors
• Enthusiasts

Format of the course

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• The Raspberry Pi supports a wide range of operating systems and programming languages. This course utilizes the Linux-based Raspbian operating system and Python as the programming language. Should you require a different setup, please contact us to arrange.
• Participants must source and purchase their own Raspberry Pi hardware and components.

This instructor-led, live training in Slovakia (online or onsite) is tailored for engineers who want to develop, load, and operate machine learning models on compact embedded hardware.

Upon completing this training, participants will be able to:

• Install TensorFlow Lite.
• Deploy machine learning models onto embedded devices to perform tasks such as speech detection and image classification.
• Integrate artificial intelligence into hardware devices without requiring network connectivity.

This course explores widely used serial interfaces in embedded systems, offering practical insights into their implementation. The theoretical content is complemented by hands-on exercises utilizing STM32 microcontrollers.