Optimize AI Inference Speed & Accuracy

Production ML models failing your latency targets? Learn how to make them run 3-5x faster without losing accuracy. This course helps ML engineers and data scientists optimize neural network inference for real-world deployment—across mobile, edge, and cloud environments. If you face slow model inference, high infrastructure costs, or deployment constraints, this course provides practical solutions. You'll master profiling techniques to identify performance bottlenecks, apply quantization to cut precision requirements, and make smart trade-offs between speed, accuracy, and resource constraints. …