Predictive Maintenance with AI: Intermediate

Objectives

• Explain the core principles, terminology and governing standards of Predictive Maintenance with AI
• Apply proven methods and tools for Predictive Maintenance with AI to real workplace situations
• Analyse performance data to find risks, gaps and improvement opportunities
• Compare your practice with international benchmarks and regional case studies
• Build a practical action plan to apply Predictive Maintenance with AI in your organisation

Who should attend

Maintenance managers, planners, reliability engineers and condition monitoring staff.

Course outline — 5 days

1. Day 1
   Principles, terminology and governing standardsPredictive Maintenance with AI
2. Day 2
   Methods, tools and calculationsPredictive Maintenance with AI
3. Day 3
   Operation, inspection and performancePredictive Maintenance with AI
4. Day 4
   Risk, troubleshooting and case studiesPredictive Maintenance with AI
5. Day 5
   Best practice, assessment and action planPredictive Maintenance with AI

Upcoming sessions 2027–2030

No public session is listed yet. We can run this course in any city on your dates, online, or at your company.

Related courses

• Predictive Maintenance with AI: Foundations
• Predictive Maintenance with AI: Advanced
• Predictive Maintenance with AI: Masterclass
• Predictive Maintenance with AI: Applied Workshop
• Predictive Maintenance with AI: Leadership Edition

More in this field

• Maintenance Planning & Scheduling: Intermediate
• Reliability-Centered Maintenance: Intermediate
• Vibration Analysis: Intermediate
• Condition Monitoring: Intermediate
• Root Cause Failure Analysis: Intermediate
• Total Productive Maintenance: Intermediate
• Spare Parts & MRO Management: Intermediate
• CMMS & SAP PM: Intermediate

See all →