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Computer Vision – AI for Construction

COURSE NO: C01-039
PDH CREDIT: 1
COURSE PROVIDER: Brian Lisiewski, P.E.
Computer Vision – AI for Construction
Course Highlights

This online engineering PDH course enhances Artificial Intelligence (AI) for effective progress monitoring and accountability through AI-driven image and video analysis.
 

Computer Vision and AI technologies provide construction professionals with advanced tools for analyzing visual data, verifying construction quality, monitoring project progress, and identifying potential safety concerns. When applied appropriately, these technologies can improve the efficiency and consistency of construction inspections while supporting engineers in making informed and defensible decisions.
 

This course covers the application of CV and AI to verify rebar and anchor placement, assess concrete pour readiness, track site logistics and progress quantities, monitor PPE compliance, and identify near-miss safety incidents. It also emphasizes ISO 9001 risk-based thinking and quality management principles, highlighting the importance of professional oversight, validation, documentation, and responsible adoption of AI-driven technologies.
 

This 1 PDH online course is applicable to civil engineers and construction engineers, as well as other technical professionals interested in learning more about Computer Vision and AI applications in construction QA/QC, progress monitoring, and safety management.

Learning Objectives

This PE continuing education course is intended to provide you with the following specific knowledge and skills:

  • Familiarizing with Computer Vision applications in construction QA/QC, progress monitoring, and safety management
  • Learning how to identify AI model limitations and mitigate false positives and false negatives
  • Understanding how to capture evidence and maintain audit trails for AI-assisted construction observations
  • Learning how to apply risk-based tools to prioritize QA/QC and safety interventions using AI outputs
  • Understanding human-in-the-loop workflows for integrating AI alerts into construction management processes
  • Familiarizing with documentation practices for AI-assisted QA/QC and safety processes.
Course Document

In this professional engineering CEU course, you need to review the course document titled, “Computer Vision - AI for Construction”, Prepared by Brian Lisiewski, P.E.

To view, print and study the course document, please click on the following link(s):
COMPUTER VISION - AI FOR CONSTRUCTION (824 KB)
Course Quiz
Once you complete your course review, you need to take a multiple-choice quiz consisting of ten (10) questions to earn 1 PDH credits. The quiz will be based on the entire document.
The minimum passing score is 70%. There is no time limit on the quiz, and you can take it multiple times until you pass at no additional cost.
Certificate of Completion

Upon successful completion of the quiz, print your Certificate of Completion instantly. (Note: if you are paying by check or money order, you will be able to print it after we receive your payment.) For your convenience, we will also email it to you. Please note that you can log in to your account at any time to access and print your Certificate of Completion.

To buy the course and take the quiz, please click on: