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NVIDIA Certified Course: Predictive Maintenance Using AI [Online Training]

You will learn methods to identify anomalies and failures from time series data based on AI, as well as how to estimate the remaining useful life of the relevant parts.

■Goals - Using time series data, it is possible to predict outcomes with an XGBoost-based machine learning classification model. - By using an LSTM-based model, it is possible to predict equipment failures. - Utilizing anomaly detection with a time series autoencoder, it is possible to predict failures when limited failure case data is available. ■Target Audience System engineers and developers who develop and provide predictive maintenance systems in the industrial sector. ■Prerequisite Knowledge - Completion of the course "Introduction to Python from Scratch - Focusing on Data Analysis" or equivalent knowledge. - Completion of the course "NVIDIA Deep Learning Institute (DLI) Certified Course Fundamentals of Deep Learning" or equivalent knowledge.

  • Distance learning/E-learning

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