Microcontroller Training in Moldova

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

Upon completing this training, participants will be able to: <\/p>

• Comprehend the core principles of TinyML and its advantages for edge AI applications. <\/li>
• Configure a development environment tailored for TinyML projects. <\/li>
• Train, optimize, and deploy AI models on low-power microcontrollers. <\/li>
• Leverage TensorFlow Lite and Edge Impulse to create real-world TinyML solutions. <\/li>
• Optimize AI models to meet power efficiency requirements and memory limitations. <\/li> <\/ul>

This instructor-led, live training in Moldova (online or onsite) is designed for engineers seeking to master the use of embedded C for programming diverse microcontrollers across various processor architectures, including 8051, ARM CORTEX M-3, and ARM9.

In this instructor-led live training in Moldova, 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 real hardware components in 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 adding peripherals.
• Integrate third-party components like LCDs, accelerometers, gyroscopes, and GPS trackers to expand Arduino's capabilities.
• Explore various programming language options, ranging from C to drag-and-drop interfaces.
• Test, debug, and deploy Arduino solutions to address real-world challenges.