This infographic presents a structured AI skills roadmap for civil engineering students, showing how to progress step by step from core engineering knowledge to advanced AI applications. It is designed to help students understand what to learn, in what order, and why AI skills matter in modern civil engineering.
The roadmap begins with strong foundations in mathematics and core civil engineering subjects, which are essential for understanding data-driven models. It then moves to programming and data-handling skills, where students learn how to work with engineering datasets and visualize results. Building on this, the infographic introduces machine learning concepts such as regression, classification, and model evaluation.
A key focus of the roadmap is the integration of AI with GIS and spatial data, which is increasingly important in applications like landslide susceptibility mapping, flood risk assessment, traffic analysis, and urban planning. Advanced stages highlight deep learning, ensemble models, time-series analysis, and explainable AI, helping students move beyond black-box modeling.
The infographic also emphasizes the importance of hands-on projects and case studies, encouraging students to apply AI techniques to real civil engineering problems. The final stage focuses on industry readiness, including ethical AI use, research skills, and continuous learning.