Applying Machine Learning, AI, and Advanced Construction Technologies
Learn how a data-driven approach helps bring context to the digital and physical strategies for Industrialized Construction.
After completing this course, you will be able to:
- Investigate the availability and use of data for Industrialized Construction and its links to the process and technology enablers
- Identify strategies for data-driven use of machine learning and artificial intelligence for Industrialized Construction
- Identify strategies for application of advanced construction technologies for Industrialized Construction
- Understand the role of machine learning, AI, and advanced construction technologies in Industrialized Construction
Course modules
Artificial intelligence and machine learning can assist designers with outcome-based design to assess the potential of a project development through user-defined criteria and iterating in real-time to explore “what-if” scenarios more rapidly.
Artificial intelligence and machine learning can assist designers with outcome-based design to assess the potential of a project development through user-defined criteria and iterating in real-time to explore “what-if” scenarios more rapidly.
Machine learning and AI can be applied to analyze jobsite data to prioritize issues and RFIs, and group them into actionable categories for faster and more focused processing, with the ultimate goal of mitigating project risks and improving project performance.
Discover how a cloud-based digital twin technology platform connects the physical and digital worlds to offer real-time operational insight into the performance of building facilities.
With the evolution of machine learning and the introduction of the Forge Design Automation API, EMDC Group was able to automate some of those processes, thus saving tremendous amounts of time and improving the team's efficiency.
This module will determine what you retained from this course.