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Artificial Intelligence for Predictive Maintenance

From vibration and thermal data to a model that predicts failure before it happens, with a case study on pumps and compressors.

Learning outcomes

  • 1Structure and prepare sensor data for modelling
  • 2Build a fault-classification model
  • 3Estimate remaining useful life of equipment
  • 4Wire the model into the real maintenance workflow

Who it is for

    Programme details

    Code
    DIG-340
    Starts
    16 November 2026
    Duration
    8 days
    training hours
    32
    Delivery
    Online
    Level
    Advanced
    Location
    Online — academy platform
    Language
    Arabic

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