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What You'll Learn

Master digital twin integration with BIM and IoT to drive real-time building operations, smart facility management, and predictive analytics for future-ready infrastructure.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on Digital Twin Integration with BIM - Course Cover Image
Duration 10 Days
Level Intermediate
Format In-Person

Course Overview

This 10-day training course explores the convergence of Building Information Modeling (BIM) and Digital Twin technologies to revolutionize how built environments are designed, operated, and maintained. Participants will gain hands-on experience in linking BIM models with real-time IoT data, enabling predictive analytics, smart building operations, and lifecycle asset management. From planning and design to facility management and sustainability monitoring, this course prepares professionals to lead in the next generation of smart infrastructure and building systems.

Duration

10 Days

Who Should Attend

  • BIM Specialists and Coordinators

  • Facility and Asset Managers

  • Smart Building Engineers

  • Urban Infrastructure Planners

  • IoT System Integrators

  • Architects and Design Engineers

  • Real Estate and Property Developers

Course Level: Intermediate to Advanced

Course Impact

Course Objectives

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

  • Create digital twins from BIM models for operational use

  • Integrate IoT systems with BIM environments

  • Apply real-time data to building performance and facility management

  • Analyze and optimize operations using digital twin dashboards

  • Develop strategies for future-ready, intelligent building ecosystems

Course Outline

Module 1: Fundamentals of Digital Twins and BIM Integration

  • Definitions and distinctions: BIM vs. Digital Twins

  • Use cases across design, construction, and operations

  • Creating digital twins from BIM: process, tools, and data flows

Module 2: Real-Time Data and Smart Building Operations

  • Sensors, telemetry, and IoT architecture for buildings

  • Real-time data for building operations through connected BIM models

  • Linking building automation systems with digital environments

Module 3: Smart Building Management with Digital Twins

  • Smart building management with digital twin tools and platforms

  • Energy use, HVAC, lighting, and security systems integration

  • Role-based access and dashboard interfaces for facilities teams

Module 4: IoT Integration and Interoperability with BIM

  • Integrating IoT with BIM models using open standards

  • Data structuring for seamless interoperability

  • Middleware and APIs for cloud-based data streaming

Module 5: Performance Monitoring and Predictive Maintenance

  • Data-driven performance modeling and benchmarking

  • Predictive analytics for asset lifecycle management

  • Alert systems and digital twin-based maintenance scheduling

Module 6: Construction Phase Digital Twins

  • Monitoring progress using digital twins during construction

  • Site safety, logistics, and timeline optimization

  • Synchronizing BIM updates with real-time job site conditions

Module 7: Facility and Asset Management

  • Managing space, occupancy, and facility efficiency

  • Long-term planning using real-time analytics

  • Building lifecycle documentation through digital twin evolution

Module 8: Cybersecurity and Data Governance

  • Security risks and safeguards for digital twins

  • Data ownership, privacy, and compliance standards

  • Cloud, edge, and hybrid deployment considerations

Module 9: Future of Digital Twins in Building Management

  • Future of building management and digital twins trends

  • AI, machine learning, and automation in smart facilities

  • Digital twin maturity models and global case studies

Module 10: Capstone Project and Strategic Implementation Plan

  • Group project: Develop and present a digital twin integration roadmap

  • Case-based simulation of a connected facility

  • Feedback, refinement, and implementation strategy mapping

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

To teach you how to integrate a BIM model with real-time data to create a dynamic digital twin. You'll learn to use this for building operations and management.
A BIM is a static model for design and construction. A digital twin is a live replica updated with real-time data from a physical building, making it a powerful tool for innovation.
A digital twin enables predictive maintenance, optimizes energy use, and provides insights for smart resource management, all of which enhance efficiency and demonstrate professionalism
It's a combination of static BIM data and dynamic data from IoT sensors, smart meters, and building management systems (BMS).
You'll learn to work with a living, data-driven replica of an asset, a critical skill for the future of construction. This makes you highly adaptable to market changes.
Training on Digital Twin Integration with BIM

Next class starts 5 Jan 2026

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