
Applied AI in Integrated Facilities Management
This course explores the integration of Artificial Intelligence (AI) and Large Language Models (LLMs) in the field of Integrated Facilities Management (FM). Participants will learn how AI and LLMs can optimize building operations, maintenance, energy management, space utilization, and enhance workplace experiences. The course also covers emerging trends, ethical considerations, and the future of AI and LLMs in FM, providing real-world case studies and practical tools for implementing these technologies.
Add a Title
Add paragraph text. Click “Edit Text” to update the font, size and more. To change and reuse text themes, go to Site Styles.
Course Duration:
24 hours
Level:
Intermediate to Advanced

Course Objectives
Understand the role of AI and LLMs in transforming facilities management.
Gain knowledge of AI and LLM applications in predictive maintenance, energy management, and asset management.
Learn how AI and LLMs can enhance workplace safety, security, and user experience.
Explore the integration of IoT, robotics, and LLMs in smart buildings.
Develop skills in data analytics and decision support systems powered by AI and LLMs.
Address the ethical, legal, and cost implications of adopting AI and LLMs in FM.
Prepare for the future of AI and LLM technologies in facilities management.
Prerequisites
Basic understanding of Facilities Management principles.
Familiarity with Artificial Intelligence concepts.
No prior experience with LLMs required, but an understanding of machine learning basics is beneficial.
