AI Applications in Infrastructure Asset Management
This online engineering PDH course examines the application of artificial intelligence in infrastructure asset management.
Infrastructure asset management provides a systematic approach to managing physical assets throughout their lifecycle to improve performance, control costs, manage risk, and maintain reliable infrastructure services.
Infrastructure assets experience aging, deterioration, changing operating conditions, and resource constraints, requiring data-driven approaches to predict failures, optimize maintenance activities, assess condition, and support effective lifecycle decision-making.
This course covers AI and machine learning fundamentals, predictive maintenance, sensor technologies, computer vision for automated inspection, lifecycle optimization, risk assessment, data management, digital twins, and autonomous systems. It also emphasizes practical implementation, organizational considerations, and real-world applications for improving reliability, reducing costs, extending asset service life, and enhancing infrastructure performance.
This 2 PDH online course is applicable to civil and structural engineers, as well as other technical professionals who are interested in learning more about AI applications in infrastructure asset management.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Understanding infrastructure asset management principles, lifecycle stages, maintenance strategies, and performance optimization
- Familiarizing with AI, machine learning, reinforcement learning, and deep learning applications in infrastructure asset management
- Understanding sensor technologies used for condition monitoring and data-driven asset management
- Learning how AI-based predictive maintenance improves costs, downtime, and asset service life.
- Understanding computer vision techniques for automated infrastructure inspection and defect assessment
- Familiarizing with drones, robots, and autonomous systems for AI-enabled infrastructure inspection
- Learning how AI enhances lifecycle cost analysis, uncertainty modeling, and multi-objective optimization
- Understanding AI-based failure prediction, consequence modeling, anomaly detection, and risk-informed decision-making
- Learning from case studies demonstrating AI applications in bridge, water distribution, and building asset management
- Familiarizing with digital twins, 5G connectivity, autonomous systems, and explainable AI for infrastructure asset management
Upon successful completion of the quiz, print your Certificate of Completion instantly. (Note: if you are paying by check or money order, you will be able to print it after we receive your payment.) For your convenience, we will also email it to you. Please note that you can log in to your account at any time to access and print your Certificate of Completion.