Fleet Maintenance in the Age of AI and Predictive Analytics

Introduction to AI and Predictive Analytics in Fleet Maintenance

• Overview of AI applications in fleet management
• Basics of predictive analytics and its benefits
• Transition from reactive to predictive maintenance models
• Challenges and opportunities in AI-driven fleet maintenance

AI-Driven Tools and Technologies

• IoT sensors and real-time data collection
• Machine learning algorithms for fault detection
• Predictive maintenance software and platforms
• Integration of telematics with AI systems

Optimizing Fleet Efficiency and Performance

• Proactive scheduling of maintenance activities
• Reducing unplanned downtime with predictive insights
• Enhancing fuel efficiency through AI recommendations
• Cost-saving strategies using AI and analytics

1ST BATCH: Tuesday, February 17, 2026 — Friday, February 20, 2026.

2ND BATCH: Tuesday, June 16, 2026 — Friday, June 19, 2026.

3RD BATCH: Tuesday, October 13, 2026 — Friday, October 16, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.