Optimize Java Memory for ML Performance

Memory inefficiencies cause 40% of Java ML application performance problems, making optimization critical for production systems. This course equips Java developers to build memory-efficient ML systems through hands-on profiling with Java Flight Recorder and systematic optimization of collections and JVM settings. You'll diagnose bottlenecks using heap analysis, optimize pipelines by replacing inefficient structures like LinkedList with ArrayDeque, and tune garbage collectors for low-latency inference. This course eliminates memory bottlenecks, degrading ML production systems. With hands-on la…