This course will be available soon. We invite you to register your interest and join the waiting list so we can contact you once the dates are confirmed. Placement is subject to approval, and you will be notified if you are selected to participate. If you need assistance or if you wish to unregister from the course, please contact our support team at training.development@jesco.com.sa
Description
Introduction to AI‑enhanced predictive maintenance, focusing on the application of artificial intelligence and machine learning to analyze equipment data, predict failures, optimize maintenance strategies, and improve asset reliability in industrial operations.
At the end of this course, you will be able to:
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Understand the fundamentals of predictive maintenance and its advantages over reactive and preventive approaches.
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Explain how AI and machine learning techniques are used to predict equipment failures and remaining useful life (RUL).
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Recognize the role of data acquisition, data quality, and preprocessing in predictive maintenance models.
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Interpret predictive maintenance outputs to support maintenance planning and decision‑making.
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Understand the business and economic impact of AI‑enhanced predictive maintenance on asset performance and reliability.
Duration: 40 Hours
Number of participants: 15
Course Content
AI-Enhanced Predictive Maintenance Professional (IN-09)
In-Person (Required)
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