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Artificial intelligence is rapidly becoming a practical toolset for MEP consulting firms—improving how teams search standards and specifications, draft and review technical documents, manage RFIs and submittals, and strengthen QA/QC consistency. This course provides a structured, engineering-focused guide to adopting AI responsibly. Participants will learn core AI concepts (LLMs, RAG, agents, predictive analytics), effective operating models (practice champions, integrated product teams, and an AI enablement function), data and platform requirements (document governance, BIM/CAD integration, security, and evaluation), and a maturity roadmap for scaling from pilots to enterprise capabilities. Emphasis is placed on professional accountability, confidentiality, traceability, risk-tiered controls, and measurable business outcomes across the project lifecycle.
This course includes a multiple-choice quiz at the end, which is designed to enhance the understanding of the course materials.
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