Data into the Future -- Data in Construction (Part 5)

Discover cutting-edge construction tech in construction. Explore emerging construction technologies like AI, drones and LiDar in this course.

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About this course

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1 hour

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910 students

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Last reviewed 9/2024

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Multimedia Content

Course Description

This course is part 5 of the 5 part Data in Construction Series. This course builds upon knowledge gained in Part 4: Data on the Jobsite

Explore how data and new technology are reshaping the construction industry. This course is for construction management professionals eager to understand the practical applications of the latest technologies in the industry. Learn about tools like AI, drones, VR, and AR, and understand their transformative potential on jobsites. Learn how integrating these technologies can make construction projects safer, more efficient, and more effective.

The course is structured to build a solid foundation of knowledge about technologies positively impacting the construction industry. Each module in the course discusses a different aspect of emerging construction technologies. You'll start by learning the basics of artificial intelligence and machine learning, then move on to exploring the tangible benefits of drones and LiDAR and predictive technology. By focusing on predictive AI and data roles, you'll gain insights and skills to enhance decision-making on jobsites. Developed with input from industry experts, this course highlights the importance of data management and the skills needed to effectively integrate technology.

You'll learn to harness data to drive efficiency and safety while understanding the potential and limitations of predictive technology in construction. Walk away with actionable knowledge about data analysis and technology adoption strategies, empowering you to thrive in an increasingly digital construction environment.

Learning Objectives

  • Discuss emerging construction technologies like AI, Drones and LiDar

  • Explore AI and machine learning’s capacity to improve decision-making

  • Learn about data management strategies to enhance safety and productivity on jobsites.

  • Discuss VR and AR in construction projects as collaboration and communication tools.

Prerequisites

  • Learning Level: Intermediate

  • Prerequisite Knowledge: Competition of Part 4: Data on the Jobsite.

  • Recommended Knowledge: Familiarity with traditional construction technologies is beneficial.

Continuing Education Course Credits

Course Title: Data in Construction (Part 5): Data into the Future

Course Number: PC-392-102824

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 technologies will be covered in the course?faq-icon

The course covers AI, drones, VR, AR, and data management practices, focusing on their application in construction to enhance efficiency and safety.

Do I need any prior experience with these technologies to enroll?faq-icon

While no specific prior experience with emerging construction technology is required, familiarity with basic construction concepts and processes is necessary. Understanding current technologies and data management practices is also beneficial for fully engaging with the course content.

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.

  1. Data in Construction (Part 1): Introduction to Data

    Discover how data can transform your construction projects. Gain foundational skills to optimize workflows and make informed decisions on jobsites.

    View Course Page
  2. Data in Construction (Part 2): Collecting and Analyzing Data

    Unlock the power of data in construction. Learn to effectively collect and analyze data to make informed decisions on jobsites.

    View Course Page
  3. 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.

    View Course Page
  4. Data in Construction (Part 4): Data on the Jobsite

    Use data to drive transparency on your project health. Learn to leverage construction data for improved safety, efficiency, and project management skills.

    View Course Page
  5. Star-Shield

    You are here!

    Data in Construction (Part 5): Data into the Future

    Discover cutting-edge construction tech in construction. Explore emerging construction technologies like AI, drones and LiDar in this course.

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.

Linked-In

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.

CurriculumStart Course

  • Course Intro
  • Lesson
  • We want to hear from you!
  • Course Conclusion

About this course

clock

1 hour

user-outline

910 students

check-in-circle

Last reviewed 9/2024

pencil-in-notepad

Multimedia Content

Course Description

This course is part 5 of the 5 part Data in Construction Series. This course builds upon knowledge gained in Part 4: Data on the Jobsite

Explore how data and new technology are reshaping the construction industry. This course is for construction management professionals eager to understand the practical applications of the latest technologies in the industry. Learn about tools like AI, drones, VR, and AR, and understand their transformative potential on jobsites. Learn how integrating these technologies can make construction projects safer, more efficient, and more effective.

The course is structured to build a solid foundation of knowledge about technologies positively impacting the construction industry. Each module in the course discusses a different aspect of emerging construction technologies. You'll start by learning the basics of artificial intelligence and machine learning, then move on to exploring the tangible benefits of drones and LiDAR and predictive technology. By focusing on predictive AI and data roles, you'll gain insights and skills to enhance decision-making on jobsites. Developed with input from industry experts, this course highlights the importance of data management and the skills needed to effectively integrate technology.

You'll learn to harness data to drive efficiency and safety while understanding the potential and limitations of predictive technology in construction. Walk away with actionable knowledge about data analysis and technology adoption strategies, empowering you to thrive in an increasingly digital construction environment.

Learning Objectives

  • Discuss emerging construction technologies like AI, Drones and LiDar

  • Explore AI and machine learning’s capacity to improve decision-making

  • Learn about data management strategies to enhance safety and productivity on jobsites.

  • Discuss VR and AR in construction projects as collaboration and communication tools.

Prerequisites

  • Learning Level: Intermediate

  • Prerequisite Knowledge: Competition of Part 4: Data on the Jobsite.

  • Recommended Knowledge: Familiarity with traditional construction technologies is beneficial.

Continuing Education Course Credits

Course Title: Data in Construction (Part 5): Data into the Future

Course Number: PC-392-102824

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 technologies will be covered in the course?faq-icon

The course covers AI, drones, VR, AR, and data management practices, focusing on their application in construction to enhance efficiency and safety.

Do I need any prior experience with these technologies to enroll?faq-icon

While no specific prior experience with emerging construction technology is required, familiarity with basic construction concepts and processes is necessary. Understanding current technologies and data management practices is also beneficial for fully engaging with the course content.

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.

  1. Data in Construction (Part 1): Introduction to Data

    Discover how data can transform your construction projects. Gain foundational skills to optimize workflows and make informed decisions on jobsites.

    View Course Page
  2. Data in Construction (Part 2): Collecting and Analyzing Data

    Unlock the power of data in construction. Learn to effectively collect and analyze data to make informed decisions on jobsites.

    View Course Page
  3. 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.

    View Course Page
  4. Data in Construction (Part 4): Data on the Jobsite

    Use data to drive transparency on your project health. Learn to leverage construction data for improved safety, efficiency, and project management skills.

    View Course Page
  5. Star-Shield

    You are here!

    Data in Construction (Part 5): Data into the Future

    Discover cutting-edge construction tech in construction. Explore emerging construction technologies like AI, drones and LiDar in this course.

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.

Linked-In

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.

CurriculumStart Course

  • Course Intro
  • Lesson
  • We want to hear from you!
  • Course Conclusion

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