AI Engineering in Industry and Robotics

This premium course combines cutting-edge AI/ML methods with industrial automation and robotics. You will learn to apply Computer Vision (YOLOv8, SAM, DETR) for quality inspection, NLP (LLM, RAG) for technical documentation and chatbots, Predictive Analytics (LSTM, Transformers, Prophet) for failure prediction, Reinforcement Learning (PPO, SAC, DQN) for robot control, ML-based Digital Twins. AI integration with PLC, SCADA, MES. MLOps for industry: Kubeflow, MLflow, ONNX, TensorRT. AI system security (Adversarial ML, IEC 62443 for AI). Practical projects: computer vision system for quality control, AI assistant for engineers, predictive maintenance pipeline, RL controller for manipulator.