Scheduled Digital / Online Course
2 November - 11 December 2026
12 April - 21 May 2027
13 September - 22 October 2027
6 Modules Over 6 Weeks | 3 Live Sessions
Scheduled Digital / Online Course
2 November - 11 December 2026
12 April - 21 May 2027
13 September - 22 October 2027
6 Modules Over 6 Weeks | 3 Live Sessions
Advanced Analytics AI Predictive Models for Rail Infrastructure
A practical 10-hour program for rail professionals - from predictive maintenance and Monte Carlo simulation to computer vision and decision support systems.
Advanced Analytics AI Predictive Models for Rail Infrastructure
Enable rail professionals to apply data-driven methods for safer, more reliable, and efficient rail systems through predictive models and AI adoption
Course Overview
Advanced analytics and Artificial Intelligence are reshaping how rail infrastructure is planned, maintained and operated. From predictive maintenance to demand forecasting and intelligent monitoring, data-driven methods now sit at the core of safe, reliable and efficient rail systems.
This intensive 10-hour programme gives rail professionals a structured, hands-on understanding of predictive models, statistical simulation, machine learning, computer vision and decision support systems - applied directly to rail infrastructure and operations.
The methodology draws on our course director’s international rail project experience across Europe, Latin America and North America, combining global best practice with practical case studies.
Key Benefits
- Understand where predictive models create value across risk, maintenance, demand and reliability
- Apply statistical analysis and Monte Carlo simulation to real rail problems
- Evaluate computer vision solutions for passenger counting and operational monitoring
- Select the right machine learning approach for rail infrastructure challenges
- Design decision support systems that turn analytics into operational decisions
- Build an analytics roadmap and business case for your organisation
Who Should Participate
Designed for rail professionals at every level who are navigating the digital transformation of Australia’s rail industry.
- Rail Engineers & Asset Managers: Applying predictive maintenance and reliability models to track, systems androlling stock.
- Operations & Maintenance Managers: Using monitoring, anomaly detection and analytics to run safer, more reliable services.
- Planners & Demand Analysts: Forecasting passenger and freight demand and simulating capacity scenarios.
- Data, Digital & Innovation Leads: Driving ML, computer vision and DSS adoption within rail organisations.
- Consultants & Contractors: Delivering analytics-enabled studies and projects for infrastructure clients.
- Decision Makers & Executives: Understanding the business case, risks and governance of AI adoption in rail.
Next Courses
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Run this course in-house
Informa Connect Academy’s customised training solutions have helped organisations deliver tailored learning in different languages to suit every requirement.
Bespoke training designed for your organisation only, combining traditional classroom setting, blended and online learning models
Course Directors
Delivered by Cristian Rincón
Civil engineer, European Master’s in BIM and PhD candidate in Technological Innovation Management at Universidad de losAndes. Hehas leadthe Latin America digitalisationportfolio at DB Engineering & Consulting - digital twins, data management and digital transformation for rail clients.
His experience includes the California High-Speed Rail Early Train Operator programme(USA), a digital asset management pilot for Medellín Metro, innovation and digitalisationstrategy for EMOVA / Metrovías (Buenos Aires), and rail pre-feasibility studies with demand projections in Colombia.
Delivered by Melisa Gómez Valencia
Civil engineer, European Master’s in BIM and PhD candidate in Technological Innovation Management at Universidad de losAndes. Hehas leadthe Latin America digitalisationportfolio at DB Engineering & Consulting - digital twins, data management and digital transformation for rail clients.
His experience includes the California High-Speed Rail Early Train Operator programme(USA), a digital asset management pilot for Medellín Metro, innovation and digitalisationstrategy for EMOVA / Metrovías (Buenos Aires), and rail pre-feasibility studies with demand projections in Colombia.
Run this course in-house
Informa Connect Academy’s customised training solutions have helped organisations deliver tailored learning in different languages to suit every requirement.