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Course Intro
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Lesson
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Course Conclusion
Machine Learning & Artificial Intelligence -- Data in Construction (Part 3)
Explore AI & machine learning's impact on construction. Learn how data unlocks new capabilities on the jobsite & transforms industry practices.
1 hour
1,300 students
Last reviewed 9/2024
Multimedia Content
Course Description
This course is part 3 of the 5 part Data in Construction Series. This course builds upon knowledge gained in Part 2: Collecting and Analyzing Data.
This course dives into the world of machine learning and AI, created for project managers and site managers eager to grasp the potential of these technologies on the jobsite. Throughout the course, you will learn how software powered by AI is reshaping the construction management environment, making construction safer and more efficient.
You'll begin with an introduction to the foundations of AI and machine learning, examining the history, current applications, and implications for the construction industry. The course will guide you through concepts like neural networks, supervised and unsupervised learning, and real-world applications of AI on the jobsite. Then explore tangible examples, such as how AI can optimize project productivity and enhance safety by predicting equipment needs or potential risks. By understanding these concepts, you’ll gain the knowledge to leverage AI as a powerful tool in your construction management toolbox.
Upon completing the course, you will walk away with the ability to analyze data-driven insights, enhance jobsite efficiencies, and adapt to emerging AI technologies. This course provides the insights you need to understand how construction companies can effectively integrate AI into construction practices.
Learning Objectives
Identify the differences between machine learning, AI, and traditional software solutions within construction.
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Discuss linear regression techniques used to analyze productivity factors on a jobsite.
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Explore the use of supervised and unsupervised learning models
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Learn strategies for incorporating AI applications to improve efficiency and safety
Prerequisites
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Learning Level: Introductory
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Prerequisite Knowledge: Completion of Part 2: Collecting and Analyzing Data
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Recommended Knowledge: Having a foundational grasp of data analysis concepts and basic computer skills will enhance the learning experience.
Continuing Education Course Credits
Course Title: Data in Construction (Part 3): Machine Learning & Artificial Intelligence
Course Number: PC-390-102824
Session Number: 1
Curriculum Group Name: AIA Providers
Credit: 1 AIA LU
Course Expiration Date: 10/30/2027
Procore's Continuing Education courses may qualify for continuing education credits with other professional organizations or fulfill state licensing requirements. If you are a member of a different organization, you can download your course completion certificate from your learning profile and report your completion yourself to the organization for potential credit. Please refer to the organization's continuing education requirements for course eligibility information.
AIA CES Provider statement
Procore Technologies is a registered provider of AIA-approved continuing education under Provider Number 40108059. All registered AIA CES Providers must comply with the AIA Standards for Continuing Education Programs. Any questions or concerns about this provider or this learning program may be sent to AIA CES (cessupport@aia.org or (800) AIA 3837, Option 3).
This learning program is registered with AIA CES for continuing professional education. As such, it does not include content that may be deemed or construed to be an approval or endorsement by the AIA of any material of construction or any method or manner of handling, using, distributing, or dealing in any material or product. AIA continuing education credit has been reviewed and approved by AIA CES. Learners must complete the entire learning program to receive continuing education credit. AIA continuing education Learning Units earned upon completion of this course will be reported to AIA CES for AIA members. Certificates of Completion for both AIA members and non-AIA members are available upon request.
AIA continuing education credit has been reviewed and approved by AIA CES. Learners must complete the entire learning program to receive continuing education credit. AIA continuing education Learning Units earned upon completion of this course will be reported to AIA CES for AIA members. Certificates of Completion for both AIA members and non-AIA members are available upon request.
Frequently Asked Questions
What applications of AI will be covered in the course?
The course will cover practical applications like AI-powered tools for optimizing productivity on the jobsite, safety enhancements, and data-driven decision-making.
Will this course help me use AI tools in my current construction projects?
Though you will not be trained on a particular technology, the course is designed to equip you with the knowledge and skills to understand and apply AI technologies to enhance efficiency and effectiveness in your current and future construction projects.
What's Next
Continue your learning journey
This course is part of the “Data in Construction” Learning Path. Explore and Complete the additional Courses in this learning path below to complete your journey.
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Data in Construction (Part 1): Introduction to Data
View Course PageDiscover how data can transform your construction projects. Gain foundational skills to optimize workflows and make informed decisions on jobsites.
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Data in Construction (Part 2): Collecting and Analyzing Data
View Course PageUnlock the power of data in construction. Learn to effectively collect and analyze data to make informed decisions on jobsites.
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You are here!
Data in Construction (Part 3): Machine Learning & Artificial Intelligence
Explore AI & machine learning's impact on construction. Learn how data unlocks new capabilities on the jobsite & transforms industry practices.
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Data in Construction (Part 4): Data on the Jobsite
View Course PageUse data to drive transparency on your project health. Learn to leverage construction data for improved safety, efficiency, and project management skills.
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Data in Construction (Part 5): Data into the Future
View Course PageDiscover cutting-edge construction tech in construction. Explore emerging construction technologies like AI, drones and LiDar in this course.
Other Recommended Courses
You've Got Data: Proactive Data ManagementMindset 4.0: Think AutomatedInnovative Builder Series: Implementing TechnologyRelated Resources
Instructors
Hugh Seaton
Hugh Seaton is a recognized thought leader and innovative entrepreneur in the construction and technology sectors. He is the CEO of The Link, which focuses on converting construction specifications from text to structured data, enhancing field and project team efficiency. Hugh hosts the Constructed Futures podcast, where he dives into innovations - from AI to scheduling - with industry leaders from Architecture and Construction firms. Formerly the general manager at the Construction Specifications Institute-Crosswalk, he launched key AI-driven tools. Hugh's extensive experience in product management, combined with his passion for technology, makes him a trusted authority in data-driven construction strategies. His commitment to advancing technology in construction is evident in his volunteer work with the Society for Construction Solutions in Austin, where he empowers professionals through education and innovation.
Procore Construction Education Team
Procore’s Construction Education team is composed of former industry professionals who have held roles such as Estimator, Project Manager, and Owner’s Representative. They are dedicated to showing you "how construction works" through practical and engaging education. With a wealth of real-world experience and a deep passion for adult education, they are committed to being your trusted partner in construction learning. Our team is passionate about supporting you every step of the way on your construction learning journey.