TinyML enables smart, low power applications by bringing machine learning directly to edge devices. This session covers essential steps to train, optimize and deploy ML models for microcontrollers and other resource constrained hardware. Learn best practices for model selection, quantization and on-device inference to build efficient, responsive systems that work without relying on cloud connectivity.