Sextant / Maintenance & Reliability / MNT-096
Maintenance & Reliability
Digital and AI Applications in Predictive Maintenance
Overview
This intermediate-level programme on Predictive Maintenance gives participants working command of the methods, standards and tools used by leading organisations. It combines expert-led sessions, hands-on exercises, case studies from the Middle East, Europe and Africa, and a personal action plan to apply on return to work.
Designed for maintenance managers, planners and reliability engineers.
Learning objectives
- Master the principles, terminology and code requirements of Predictive Maintenance
- Apply proven methods and tools to real field situations
- Analyse risk, cost and performance to make better decisions
- Learn from international case studies and industry best practice
- Build a practical improvement plan for your organisation
Course outline
Day 1Principles, terminology and the standards framework
Day 2Core methods, calculations and tools
Day 3Practical applications and group workshops
Day 4International case studies and lessons learned
Day 5Implementation roadmap, assessment and close
Day 6Advanced requirements and changes in the standards
Day 7Optimisation, KPIs and performance analysis
Day 8Risk management and decision making
Day 9Digital transformation and applied AI tools
Day 10Capstone project, presentation and final assessment
Upcoming sessions
- Barcelona22 Feb – 26 Feb 2027
- Berlin10 May – 14 May 2027
- Riyadh12 Jul – 16 Jul 2027
- Amman20 Sept – 24 Sept 2027
Available in all our Middle East and Europe cities, live online for Africa and worldwide, or at your premises.
Related programmes
MNT-091Predictive Maintenance: FoundationMNT-092Predictive Maintenance: PractitionerMNT-093Advanced Predictive MaintenanceMNT-094Predictive Maintenance: Expert MasterclassMNT-095Predictive Maintenance for Managers and LeadersMNT-097Predictive Maintenance: Case Studies and Best PracticesMNT-098Predictive Maintenance: Train-the-Trainer