Course Details

Course Details

G26077

5 Days

Cairo, Egypt

19 July, 2026

23 July, 2026

$ 5500

  • Description
  • Learning Outcomes
  • Who Should Attend?
Description

As industries transition toward Industry 4.0, maintenance systems are evolving from reactive and preventive approaches to intelligent, predictive, and data-driven models. Artificial Intelligence (AI) and the Internet of Things (IoT) now play a critical role in improving asset reliability, reducing downtime, and optimizing maintenance decision-making.

This program provides a practical and strategic introduction to integrating AI and IoT technologies into modern maintenance systems. Participants will explore how connected sensors, real-time data, and intelligent analytics enable condition monitoring, predictive maintenance, and smarter asset management. Through applied use cases and industry examples, the course bridges operational maintenance practices with emerging digital technologies, enabling participants to design and support future-ready maintenance strategies that deliver measurable performance and cost benefits.

Learning Outcomes

By the end of this program, participants will be able to:

  • Understand the role of AI and IoT in modern maintenance and asset management systems.
  • Explain how IoT-enabled sensors and data acquisition support condition monitoring and predictive maintenance.
  • Apply AI-driven analytics to detect patterns, predict failures, and optimize maintenance decisions.
  • Integrate AI and IoT concepts with existing maintenance strategies, CMMS, and reliability practices.
  • Evaluate the business impact of smart maintenance on reliability, cost reduction, and operational performance.
  • Support the transition toward data-driven and intelligent maintenance operating models.

Who Should Attend?

This program is designed for professionals involved in modern maintenance and asset reliability, including:

  • Maintenance, reliability, and operations engineers
  • Maintenance supervisors, planners, and managers
  • Asset management and facilities engineers
  • Engineers and technicians in condition monitoring and predictive maintenance
  • Digital transformation and Industry professionals
  • Technical leaders modernizing maintenance systems through data and AI

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