
Advanced AI in Integrated Facilities Management
This advanced course explores the integration of Artificial Intelligence (AI) and Large Language Models (LLMs) into facilities management (FM). It provides in-depth knowledge of AI techniques, including machine learning, deep learning, and reinforcement learning, alongside LLMs for automation, predictive maintenance, space optimization, security, and user experience enhancement. The course focuses on practical applications of AI and LLMs to optimize building operations, improve safety, automate decision-making, and drive sustainability in modern facilities.
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Course Duration:
27 hours
Level:
Advanced

Course Objectives
Gain advanced knowledge of AI and LLMs in facilities management.
Learn how to implement predictive maintenance and asset management using AI and LLMs.
Understand how AI and LLMs enhance building automation, energy optimization, and IoT integration.
Explore the role of AI and LLMs in enhancing facility safety, security, and compliance.
Master the use of machine learning and LLMs for space utilization, user experience, and decision support systems.
Develop practical skills for implementing AI and LLM solutions across multiple facilities for optimized management and long-term ROI.
Address ethical considerations and scalability challenges when implementing AI and LLM in FM.
Prerequisites
Basic understanding of facilities management principles.
Familiarity with AI concepts such as machine learning, NLP, and predictive analytics.
Experience in data analysis, IoT systems, or building management technologies is beneficial but not mandatory.
