Machine Learning For Construction Delay Prediction
This online engineering PDH course examines the principles, practices, and data-driven considerations associated with applying machine learning to construction delay prediction.
Machine learning for construction delay prediction is a data-driven approach that analyzes historical project records to identify patterns and relationships that signal schedule risk, enabling project teams to anticipate delays before they occur and to implement targeted mitigation measures.
Construction delays vary according to project characteristics, design and planning quality, resource and supply chain conditions, weather and site conditions, and organizational and management practices, requiring systematic data collection, modeling, and validation to produce reliable predictions.
This course covers machine learning fundamentals, delay classifications, traditional delay analysis methods, project data sources, feature engineering, data preprocessing, regression, classification, ensemble, and deep learning models, model evaluation, cross-validation, and interpretability. It also emphasizes deployment phases, real-world results, organizational adoption, and emerging technologies such as BIM, IoT, and digital twins.
This 2 PDH online course is designed for civil and construction engineers and project managers, as well as other technical professionals interested in learning how machine learning can be used to predict construction delays.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Familiarizing with the causes and impacts of construction delays
- Learning the core machine learning concepts and algorithms used for delay prediction
- Understanding the types of construction delays and traditional delay analysis methods
- Learning how project data is collected, prepared, and engineered for prediction models
- Understanding how prediction models are evaluated, validated, and implemented
In this professional engineering CEU course, you need to review the course document titled, “Machine Learning For Construction Delay Prediction” , prepared by Amr Abouseif.
Once you complete your course review, you need to take a multiple-choice quiz consisting of ten (10) questions to earn 2 PDH credits. The quiz will be based on the entire document.
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.