Machine Learning Applications in Process Control – Training Services

Machine Learning Applications in Process Control – Training Services focuses on integrating machine learning techniques into industrial process control systems to enhance prediction, automation, and optimization. The course covers supervised and unsupervised learning methods, model training using historical process data, and real-time decision-making. Participants will learn to apply algorithms for anomaly detection, process forecasting, and adaptive control using tools like Python and TensorFlow. Emphasis is placed on case studies from manufacturing, chemical, and energy sectors. Ideal for process engineers, data scientists, and automation professionals.