Optimization techniques like pruning and quantization reduce model size and improve inference speed essential for deploying AI on edge devices like smartphones and IoT sensors. Frameworks like TensorRT and ONNX Runtime are widely used for optimizing deep learning models without compromising much on accuracy. Learners exploring AI and Machine Learning Courses can gain practical skills in these optimization strategies, helping them build efficient, production-ready AI systems that perform well across diverse platforms and real-time environments.
