Mikrokontroleri Training in Srbija

This instructor-led, live training in Srbija (online or on-site) is designed for intermediate-level embedded systems engineers and AI developers aiming to deploy machine learning models on microcontrollers using 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 suitable 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 limitations.

Ovo obuka sa instruktorom uživo u <lokalizaciji> (online ili na licu mesta) namenjena je inženjerima koji žele da nauče kako da koriste ugrađeni C jezik za programiranje različitih tipova mikrokontrolera na osnovu različitih arhitektura procesora (8051, ARM CORTEX M-3 i ARM9).

In this instructor-led, live training in Srbija, participants will learn how to program Arduino for practical applications, such as controlling lights, motors, and motion detection sensors. The course requires the use of real hardware components within a live lab environment, rather than software-simulated hardware.

Upon completing 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.
• Integrate third-party components such as LCDs, accelerometers, gyroscopes, and GPS trackers to extend Arduino's functionality.
• Understand various programming language options, ranging from C to drag-and-drop interfaces.
• Test, debug, and deploy Arduino solutions to address real-world challenges.