BIM, Digital Engineering and Integrated Project Delivery Course

Course Introduction

The BIM, Digital Engineering and Integrated Project Delivery Course provides a comprehensive framework for using Building Information Modeling, digital engineering, collaborative technologies, common data environments, and integrated delivery methodologies to improve the planning, design, construction, commissioning, and lifecycle management of complex projects. The programme equips project professionals with practical knowledge for connecting people, processes, information, models, technologies, and delivery strategies into a coordinated digital project environment.

The course explores how BIM has evolved from three-dimensional design visualization into a broader information management and digital delivery capability that supports multidisciplinary coordination, quantity management, scheduling, cost control, constructability analysis, asset information, and operational readiness. Participants examine how BIM can be integrated with project controls, geographic information systems, cloud collaboration, digital twins, artificial intelligence, IoT, reality capture, and other emerging technologies to create more intelligent and connected project delivery ecosystems.

A major focus is placed on digital engineering principles and the structured management of project information throughout the asset lifecycle. Participants learn how to establish information requirements, model standards, naming conventions, data structures, model coordination procedures, information exchanges, approval workflows, and common data environments. The programme demonstrates how disciplined information management can reduce duplication, improve design coordination, strengthen decision-making, and create reliable digital records that remain valuable beyond project completion.

Integrated Project Delivery is examined as both a collaborative delivery philosophy and an operational framework for aligning owners, designers, contractors, specialists, suppliers, and other stakeholders around shared objectives. Participants explore collaborative planning, early stakeholder involvement, transparent information exchange, shared risk and reward principles, collaborative contracting considerations, lean practices, integrated design coordination, and joint decision-making. Particular attention is given to how digital technologies can enable these collaborative behaviors while reducing information fragmentation and organizational silos.

The course also addresses advanced BIM and digital engineering capabilities, including 4D scheduling, 5D cost management, computational design, generative design, clash detection, reality capture, laser scanning, drones, digital fabrication, geospatial integration, model-based quantity take-off, AI-assisted design review, digital twins, and automated information validation. Participants consider how these technologies can be applied strategically rather than simply as software tools, with emphasis on measurable improvements in productivity, quality, predictability, coordination, safety, and lifecycle value.

By the end of the programme, participants will be equipped to develop and implement integrated digital delivery approaches that connect BIM, engineering information, project controls, collaborative processes, and lifecycle requirements. The course provides practical methods for improving interdisciplinary coordination, information reliability, constructability, project transparency, delivery performance, and asset handover while preparing organizations for increasingly connected and AI-enabled project environments.

Duration

10 days

Who Should Attend

• Project managers responsible for delivering complex construction, infrastructure, engineering, real estate, and capital investment projects.

• Programme and portfolio managers overseeing multidisciplinary projects requiring integrated digital delivery and collaborative information management.

• BIM managers, BIM coordinators, information managers, and digital engineering professionals responsible for model and information governance.

• Architects, engineers, designers, and technical specialists working within multidisciplinary BIM and digital engineering environments.

• Construction managers and contractors seeking to improve coordination, constructability, productivity, sequencing, and project delivery through BIM.

• Project controls professionals integrating BIM with schedules, cost management, progress measurement, forecasting, and performance reporting.

• Quantity surveyors and cost professionals applying model-based quantity take-off, 5D cost management, and digital commercial controls.

• Planners and schedulers seeking to integrate BIM models with project schedules and 4D construction planning.

• Asset managers and facilities professionals interested in lifecycle information, digital handover, operational readiness, and asset data management.

• Owners, developers, and client representatives establishing BIM requirements and integrated project delivery strategies.

• Procurement and commercial professionals involved in collaborative contracting, digital information requirements, and integrated delivery arrangements.

• Quality, risk, and safety professionals seeking to apply digital models and integrated information to improve project assurance.

• GIS, geospatial, surveying, reality-capture, and digital mapping professionals supporting connected project environments.

• Technology and digital transformation leaders implementing common data environments, BIM platforms, and enterprise digital engineering capabilities.

• Consultants and senior professionals seeking advanced practical knowledge of BIM, digital engineering, and integrated project delivery.

Course Objectives

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

• Explain the principles of BIM, digital engineering, information management, and Integrated Project Delivery across the complete project and asset lifecycle.

• Develop practical BIM implementation strategies that align information requirements, project objectives, organizational capabilities, delivery methods, and stakeholder responsibilities.

• Establish effective information requirements, BIM standards, naming conventions, model structures, exchange procedures, and governance controls for multidisciplinary projects.

• Apply common data environment principles to improve document management, model coordination, information sharing, version control, approval workflows, and project transparency.

• Integrate BIM models with project schedules, cost information, quantities, risks, progress data, and project controls to create integrated delivery intelligence.

• Apply collaborative Integrated Project Delivery principles to improve early stakeholder involvement, multidisciplinary coordination, shared objectives, decision-making, and delivery performance.

• Use 3D, 4D, and 5D BIM approaches to strengthen design coordination, construction sequencing, quantity management, cost forecasting, and project control.

• Apply digital engineering techniques including computational design, model-based analysis, reality capture, geospatial integration, automation, and digital fabrication.

• Use AI-assisted BIM and digital engineering capabilities to identify design issues, automate information analysis, improve coordination, and support evidence-based project decisions.

• Establish effective model coordination, clash detection, issue management, validation, and approval processes across multidisciplinary project teams.

• Develop digital handover and asset information strategies that connect project delivery information with commissioning, operations, maintenance, and lifecycle management.

• Create future-ready integrated delivery frameworks incorporating digital twins, AI, cloud collaboration, IoT, automation, and emerging digital engineering technologies.

Comprehensive Course Outline

Module 1: Foundations of BIM, Digital Engineering and Integrated Delivery

• Understanding BIM as an information management methodology rather than simply a three-dimensional modeling or visualization technology.

• Examining the evolution from conventional CAD and fragmented project information toward BIM, digital engineering, connected delivery, and lifecycle information management.

• Understanding Integrated Project Delivery principles and their relationship with collaboration, early involvement, shared objectives, transparency, and project performance.

• Establishing the strategic relationship between BIM, digital engineering, project controls, collaborative delivery, and organizational digital transformation.

Module 2: BIM Strategy, Standards and Organizational Implementation

• Developing BIM strategies aligned with organizational objectives, project requirements, delivery methods, information needs, and long-term asset management priorities.

• Establishing BIM implementation frameworks covering governance, roles, responsibilities, standards, technology, information requirements, and capability development.

• Assessing organizational BIM maturity and identifying gaps across people, processes, technology, information, leadership, and collaborative culture.

• Developing practical BIM implementation roadmaps covering pilot projects, standards development, training, technology adoption, governance, and continuous improvement.

Module 3: Information Requirements and BIM Governance

• Developing organizational information requirements, exchange information requirements, asset information requirements, and project-specific information requirements.

• Establishing clear information ownership, responsibilities, approval processes, deliverable requirements, and information exchange milestones.

• Developing naming conventions, classification systems, metadata requirements, model standards, document protocols, and information validation procedures.

• Establishing governance mechanisms that maintain information quality, consistency, traceability, security, accessibility, and lifecycle usability.

Module 4: Common Data Environments and Collaborative Information Management

• Understanding common data environment principles for managing project documents, models, drawings, specifications, records, approvals, and shared information.

• Designing information workflows covering work-in-progress, shared, published, archived, approved, superseded, and controlled project information.

• Managing version control, permissions, document status, transmittals, approvals, issue tracking, and information exchange across multidisciplinary teams.

• Integrating cloud collaboration platforms with project management, BIM, document control, engineering, commercial, and project controls systems.

Module 5: Multidisciplinary BIM Coordination and Model Management

• Establishing coordinated modeling processes across architecture, structural engineering, mechanical, electrical, civil, infrastructure, specialist, and contractor disciplines.

• Applying model federation, model checking, clash detection, issue tracking, coordination meetings, and structured resolution workflows.

• Managing model quality, geometry, metadata, file structures, model versions, coordinate systems, and discipline-specific information requirements.

• Developing effective multidisciplinary coordination practices that connect technical teams with construction planning, procurement, cost, quality, and delivery requirements.

Module 6: 4D BIM, Construction Planning and Digital Scheduling

• Integrating BIM models with project schedules to create four-dimensional representations of construction sequence, activities, locations, and planned progress.

• Applying 4D simulation to evaluate construction methodologies, sequencing alternatives, temporary works, logistics, access, and site constraints.

• Using model-based scheduling to improve communication between planners, designers, contractors, site teams, and project management stakeholders.

• Applying 4D analysis to identify sequencing conflicts, constructability issues, schedule risks, resource constraints, and opportunities for improved delivery efficiency.

Module 7: 5D BIM, Quantity Management and Cost Integration

• Integrating BIM models with quantities, rates, cost structures, budgets, estimates, and commercial information to establish 5D cost intelligence.

• Applying model-based quantity take-off techniques to improve measurement accuracy, consistency, traceability, and estimating efficiency.

• Connecting design changes with quantities, costs, budgets, procurement requirements, and commercial implications through integrated information workflows.

• Developing BIM-enabled cost reporting and forecasting processes that improve transparency, change management, value engineering, and financial decision-making.

Module 8: Digital Engineering, Computational Design and Model-Based Analysis

• Exploring digital engineering approaches that integrate design models, analytical models, engineering calculations, simulations, automation, and performance data.

• Applying computational and parametric design techniques to evaluate design alternatives, optimize solutions, and automate repetitive engineering tasks.

• Using model-based analysis to evaluate structural, environmental, energy, infrastructure, spatial, operational, and performance requirements.

• Connecting engineering models with downstream fabrication, construction, commissioning, asset management, and lifecycle information requirements.

Module 9: Integrated Project Delivery and Collaborative Project Governance

• Understanding the principles, behaviors, structures, and contractual considerations that support collaborative Integrated Project Delivery environments.

• Establishing early stakeholder involvement processes that bring owners, designers, contractors, specialists, suppliers, and operators into coordinated decision-making.

• Applying collaborative planning, lean principles, transparent information sharing, shared objectives, and joint problem-solving to improve project outcomes.

• Developing governance structures that clarify responsibilities, decision rights, information obligations, issue escalation, and collaborative performance expectations.

Module 10: AI-Assisted BIM, Automation and Intelligent Engineering

• Applying artificial intelligence to automate model checking, design review, information classification, clash analysis, document processing, and coordination activities.

• Exploring generative design and AI-assisted engineering techniques for developing and evaluating alternative design solutions against defined constraints and performance objectives.

• Using machine learning and predictive analytics to identify recurring project patterns, design risks, coordination issues, quality problems, and delivery opportunities.

• Establishing human oversight and validation controls for AI-assisted engineering outputs, automated recommendations, and machine-generated project information.

Module 11: Reality Capture, GIS and Connected Digital Engineering

• Integrating laser scanning, photogrammetry, drones, LiDAR, computer vision, and reality-capture technologies with BIM and digital engineering workflows.

• Connecting geographic information systems with BIM models to provide spatial context for infrastructure, buildings, utilities, transport, and large-scale development projects.

• Applying reality capture to verify existing conditions, monitor construction progress, validate installed work, and support accurate digital representations.

• Establishing workflows for converting captured field information into usable models, geospatial datasets, inspection records, and project intelligence.

Module 12: BIM for Construction, Quality and Project Controls

• Applying BIM to improve construction coordination, work packaging, installation planning, quality inspections, progress measurement, and field decision-making.

• Integrating model information with project controls to connect physical progress, schedule performance, cost information, quantities, and forecast data.

• Using BIM-based quality workflows to connect specifications, inspection requirements, non-conformance records, approvals, and completed work.

• Developing integrated dashboards that combine model-based information with schedule, cost, risk, quality, safety, and productivity indicators for project leadership.

Module 13: Digital Handover, Asset Information and Lifecycle Management

• Developing asset information models that support commissioning, handover, facilities management, maintenance, operations, and lifecycle decision-making.

• Establishing structured handover requirements that ensure asset data, equipment information, warranties, manuals, maintenance requirements, and performance records are complete and usable.

• Connecting BIM and digital engineering information with facilities management platforms, asset management systems, digital twins, and operational technologies.

• Designing lifecycle information strategies that preserve digital asset value and reduce information loss during the transition from project delivery to operations.

Module 14: Interoperability, Data Standards, Cybersecurity and Information Quality

• Understanding interoperability challenges between BIM authoring tools, coordination platforms, project management systems, enterprise applications, GIS, and asset management systems.

• Applying open information exchange principles and structured data standards to improve collaboration across organizations, disciplines, technologies, and project phases.

• Establishing cybersecurity, access management, confidentiality, information classification, and secure collaboration controls for digital project environments.

• Developing information quality assurance processes that address accuracy, completeness, consistency, traceability, timeliness, usability, and lifecycle relevance.

Module 15: Smart Construction, Digital Twins and Emerging Delivery Technologies

• Exploring the convergence of BIM, digital twins, IoT, artificial intelligence, cloud computing, real-time analytics, and connected construction technologies.

• Applying digital twin concepts to extend BIM information into continuously updated representations of assets, systems, construction conditions, and operational performance.

• Examining emerging applications including autonomous site monitoring, robotics, computer vision, AI agents, immersive environments, and intelligent project controls.

• Developing strategies for transitioning from BIM-centered project delivery toward integrated smart delivery ecosystems with predictive and real-time project intelligence.

Module 16: BIM and Integrated Digital Delivery Implementation Roadmap

• Developing organization-wide implementation strategies that connect BIM standards, digital engineering, Integrated Project Delivery, technology platforms, people, processes, and governance.

• Establishing performance measures for evaluating BIM and digital delivery benefits across productivity, coordination, cost, schedule, quality, safety, risk, and lifecycle value.

• Managing organizational change, capability development, stakeholder adoption, technology investment, and process transformation during digital delivery implementation.

• Creating future-ready digital delivery roadmaps that support continuous improvement, AI adoption, digital twins, connected assets, and increasingly integrated project ecosystems.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.