Advanced course on building and implementing digital twins in industry. You will learn the full cycle: from IoT sensor and PLC data collection to building real-time physical and ML models. Technology stack: OPC UA, MQTT, Apache Kafka for streaming data; Digital Twin Definition Language (DTDL) and Asset Administration Shell (AAS) for modeling; ANSYS Twin Builder, Simulink, Gazebo for physical simulation; ML models for predictive maintenance (LSTM, Transformers, Prophet); 3D visualization (Unity, Unreal Engine, Three.js); integration with MES, ERP (SAP); real case studies: turbine digital twin, production line, building (BIM + IoT). Includes practical projects with open-source tools (Eclipse Ditto, Node-RED, InfluxDB, Grafana).