This course explores the integration of artificial intelligence (AI) technologies into cyber-physical systems (CPS), highlighting the intersection of engineering disciplines and AI advancements. Participants will delve into key concepts, tools, and platforms for integrating AI into CPS, covering topics such as control systems, predictive maintenance, security, resilience, and human-machine collaboration.

Through a series of modules, participants will learn about the ethical considerations surrounding AI-enhanced CPS and explore communication and networking aspects essential for effective integration. The course emphasizes practical applications, including AI tools and platforms, predictive maintenance strategies, and security measures for AI-enhanced CPS.

Who This Course Is For:

This course is designed for engineers, researchers, and professionals in the fields of robotics, automation, control systems, and related disciplines who are interested in leveraging AI technologies to enhance cyber-physical systems. It is suitable for individuals seeking to deepen their understanding of the integration of AI into engineering practices and those involved in the design, development, and implementation of AI-enhanced CPS. Whether you are a seasoned professional or a newcomer to the field, this course provides valuable insights into the future of engineering with AI integration in cyber-physical systems.