Microcontroller Training in Plovdiv

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

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of TinyML and its advantages for edge AI applications.
• Configure a development environment suitable for TinyML projects.
• Train, optimize, and deploy AI models on low-power microcontrollers.
• Utilize TensorFlow Lite and Edge Impulse to build real-world TinyML solutions.
• Enhance AI models for better power efficiency and memory utilization.

This instructor-led, live training in Plovdiv (online or onsite) is aimed at engineers who wish to learn how to use embedded C to program various types of microcontrollers based on different processor architectures (8051, ARM CORTEX M-3, and ARM9).

In this instructor-led live training in Plovdiv, participants will learn how to program Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. This course requires the use of actual hardware components within a live laboratory setting, rather than relying on software-simulated hardware.

Upon completion of this training, participants will be able to:

• Program Arduino to control lights, motors, and other peripheral devices.
• Gain a comprehensive understanding of Arduino's architecture, including its inputs and connectors for expanding functionality with add-on devices.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to enhance Arduino's capabilities.
• Evaluate various programming language options, ranging from traditional C to visual drag-and-drop environments.
• Test, debug, and deploy Arduino solutions to address real-world challenges.