AI-Driven Structural Engineering: Integrating IoT, Deep Learning, Computer Vision & LLM Agents

The School of Continuing Education at The British University in Egypt in collaboration with the Faculty of Engineering is glad to announce a course titled "𝐀𝐈-𝐃𝐫𝐢𝐯𝐞𝐧 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐈𝐨𝐓, 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐋𝐋𝐌 𝐀𝐠𝐞𝐧𝐭𝐬."

𝐂𝐨𝐮𝐫𝐬𝐞 𝐃𝐞𝐭𝐚𝐢𝐥𝐬:
Course Duration : 55 hours /11 days (5hrs per day )
Course Schedule: Mondays ,Tuesdays ,Wednesdays
Timing: 10:00 AM to 3:00 PM
Starting Date: 25/8/2025

𝐓𝐚𝐫𝐠𝐞𝐭 𝐀𝐮𝐝𝐢𝐞𝐧𝐜𝐞:
1. Undergraduate students with basic knowledge of structural analysis.
2. Post-graduate students of engineering background.
3. Engineers and industrial practitioners interested in applications

𝐏𝐫𝐞𝐫𝐞𝐪𝐮𝐢𝐬𝐢𝐭𝐞𝐬: i.e. Civil Engineering, Structural Engineering, or similar major

𝐂𝐨𝐮𝐫𝐬𝐞 𝐂𝐨𝐧𝐭𝐞𝐧𝐭:
Week 1: Machine Learning
Week 2: Deep Learning & Computer Vision
Week 3: LLMs & Agents for Engineering Workflows
Week 4: Project Submission & Wrap-Up

𝐂𝐨𝐮𝐫𝐬𝐞 𝐨𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬:
1. Machine Learning
Apply supervised learning (regression, Random Forest, neural networks) to predict structural performance metrics.
Use unsupervised clustering to identify patterns in structural-health monitoring data.
2. Deep Learning & Computer Vision
Build and train convolutional neural networks (CNNs) for structural defect detection.
Implement transfer learning to classify cracks, corrosion, and surface anomalies from
images.
3. LLMs & Agents for Engineering Workflows
Interact programmatically with a Large Language Model to auto-generate technical
summaries from project logs.
Develop a simple retrieval-augmented generation (RAG) agent to answer user queries about structural data and maintenance reports.

𝐂𝐨𝐮𝐫𝐬𝐞 𝐅𝐞𝐞𝐬:
Regular fees: 𝟖,𝟎𝟎𝟎 𝐄𝐆𝐏
𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐟𝐨𝐫:
• BUE Community to be: 𝟕,𝟐𝟎𝟎 𝐄𝐆𝐏
• Early Bird to be: 𝟔,𝟖𝟎𝟎 𝐄𝐆𝐏
Early Bird Deadline: 𝟏𝟏/𝟖/𝟐𝟎𝟐𝟓

To book your place, fill out the form below and visit our registration form office in 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐃, 𝐭𝐡𝐞 𝐠𝐫𝐨𝐮𝐧𝐝 𝐟𝐥𝐨𝐨𝐫:
https://forms.gle/ybxPHmGb79GRLNmy7

‎‏(𝑷𝒂𝒚𝒎𝒆𝒏𝒕𝒔 𝒂𝒓𝒆 𝒂𝒗𝒂𝒊𝒍𝒂𝒃𝒍𝒆 𝒕𝒉𝒓𝒐𝒖𝒈𝒉 𝒕𝒉𝒆 𝐐𝐍𝐁 𝒃𝒂𝒏𝒌)

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