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NITA AccreditedIntermediatePhysical + Virtual5 daysquNU

Training on Point Clouds & Laser Scanning to BIM

Master Scan-to-BIM workflows with this course. Learn how to create BIM from laser scans, model existing structures in Revit, and ensure accurate as-built documentation.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

5 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Intermediate

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

This 5-day course focuses on the integration of laser scanning and point cloud technology into Building Information Modeling (BIM) workflows. Participants will explore the end-to-end “Scan-to-BIM” process, from capturing reality using laser scanners to generating precise BIM models in software like Revit. Ideal for professionals involved in renovation, retrofit, or complex site modeling, the course emphasizes best practices in data acquisition, registration, modeling, and accuracy validation for “creating BIM from laser scan data” and “converting point clouds to Revit models.”

Duration

5 Days

Who Should Attend

  • BIM Coordinators and Technicians

  • Architects and Engineers

  • Surveyors and Geospatial Professionals

  • Construction Project Managers

  • Facility Managers and Asset Managers

  • Digital Construction and Reality Capture Specialists

Learning outcomes

What you'll walk away with

By the end of this course, participants will be able to:

  • Execute the complete Scan-to-BIM workflow for as-built modeling

  • Capture and process point cloud data with industry tools

  • Accurately model existing structures by converting point clouds to Revit models

  • Apply reality capture for construction projects and renovation planning

  • Validate and refine BIM outputs for “accurate existing conditions modeling”

Course modules

What we cover, module by module

Module 1: Fundamentals of Reality Capture and Laser Scanning

  • Overview of reality capture technologies: LiDAR, terrestrial laser scanning, and photogrammetry
  • Principles of 3D data acquisition in construction environments
  • Indoor and outdoor scanning applications in construction and infrastructure projects
  • Use cases: documentation, as-built verification, retrofit planning, and asset management
  • Case Study: Reality capture used in large-scale infrastructure documentation and retrofit planning
  • Practical: Identify suitable scanning methods for different project environments

Module 2: Point Cloud Data Acquisition and Processing

  • Field setup, scanning workflows, and safety considerations

  • Data capture techniques for complex construction environments
  • Point cloud registration, alignment, and noise reduction
  • Introduction to point cloud processing software workflows
  • Case Study: Point cloud capture and processing in a multi-storey building project
  • Practical: Register and clean a sample point cloud dataset

Module 3: Scan-to-BIM Modeling Workflows

  • Converting point cloud data into BIM models
  • Modeling architectural and MEP elements from scan references
  • Using tools such as Autodesk ReCap and Revit in Scan-to-BIM workflows
  • Level of Detail (LOD) considerations for scan-derived models
  • Case Study: Scan-to-BIM application in a hospital renovation project
  • Practical: Develop a basic BIM model from point cloud data

Module 4: Accuracy Control and Quality Assurance in Reality Capture

  • Ensuring accuracy in existing conditions modeling
  • Managing tolerances, data gaps, and scan noise
  • Validation techniques and quality assurance workflows
  • Clash detection and verification using point cloud integration
  • Case Study: Quality control challenges in Scan-to-BIM deliverables for infrastructure projects
  • Practical: Perform model validation against point cloud data

Module 5: Data Delivery, Collaboration, and Emerging Trends

  • Export formats, interoperability, and BIM deliverables
  • Integration with Common Data Environments (CDEs) for collaboration
  • Data sharing workflows across project stakeholders
  • Emerging trends: mobile scanning, drone LiDAR, and AI-driven point cloud processing
  • Case Study: Integrated reality capture workflow in a smart construction project
  • Practical: Develop a data delivery and collaboration workflow for Scan-to-BIM projects
Impact

Where the change lands

Organizational Impact

  • Enhanced accuracy in design and construction through precise site modeling.

  • Reduced project risks, delays, and costs in renovation and retrofit projects.

  • Improved collaboration by integrating high-quality laser scan data into BIM workflows.

  • Strengthened competitiveness by adopting advanced reality capture technologies.

Personal Impact

  • Practical expertise in point cloud processing and Scan-to-BIM workflows.

  • Ability to deliver precise and efficient BIM models for complex projects.

  • Career advancement opportunities in BIM management, surveying, and digital construction.

  • Confidence to lead reality capture and digital modeling initiatives.

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

To teach you the process of converting laser-scanned data into an accurate BIM model. You'll learn to capture existing conditions and create data-rich as-built models.

Course finder

Find the right course for you

Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.

For corporate teams

Training 10+ professionals?

We deliver Training on Point Clouds & Laser Scanning to BIM in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.