Topics:

Module 1 - Real-World Data Capture for Digital Twins

1. How real-world data becomes a Digital Twin: the full pipeline
2. Photogrammetry: principles, equipment, and workflow
3. LiDAR scanning: technology, data output, and processing
4. Neural Radiance Fields (NeRFs): capturing complex environments with AI
5. Choosing the right capture method for your project scope and budget
6. Hands-on: processing a photogrammetry dataset from raw images to 3D output

Module 2 - Building in Unreal Engine

1. Unreal Engine interface: navigation, panels, and project structure
2. Importing real-world datasets into Unreal Engine
3. Setting up a Digital Twin base environment from captured data
4. Lighting, materials, and scene optimization for realistic representation
5. Hands-on: build a Digital Twin scene from a provided real-world dataset

Module 3 - Interactivity & User Experience

1. Adding interactive features to Digital Twin environments
2. User movement and navigation: teleportation and spatial locomotion
3. Object interaction and manipulation within the environment
4. Designing and implementing UI elements for in-environment navigation
5. Performance optimization: maintaining frame rate and scene efficiency
6. Hands-on: add full interactivity layer to your Module 2 environment

Module 4 - Live Data Integration & Final Project

1. What separates a static 3D model from a true Digital Twin: live data
2. Introduction to IoT sensor feeds and real-time data streams
3. Connecting external data sources to Unreal Engine environments
4. Building basic real-time dashboards within the Digital Twin interface
5. Final project: build, integrate, and present a complete functional Digital Twin with live data

What I’ll Learn?

1. Capture real-world environments using photogrammetry, LiDAR, and NeRF techniques
2. Build and configure Digital Twin environments in Unreal Engine from real datasets
3. Implement interactive features, navigation systems, and spatial UI elements
4. Integrate live IoT and sensor data into a functioning real-time Digital Twin
5. Optimize and deliver a Digital Twin project to professional standards
6. Present a complete Digital Twin project with documented handover materials

Career Return on Investment (ROI)

This course is where concept becomes delivery. The skills covered here - real-world data capture, Unreal Engine development, live data integration, and project deployment - are the exact technical capabilities being sought by giga-project contractors, engineering consultancies, government smart city teams, and digital infrastructure firms across Saudi Arabia.

Completing FV-B01 positions you not as someone who understands Digital Twins, but as someone who can build and deliver them. That distinction matters in terms of project roles, billing rates, and career trajectory. Whether you're targeting a position on a Digital Twin delivery team, launching a Digital Twin service, or expanding your own technical capabilities, this course gives you a production-ready skillset.

Course Location

Online