Master AI to detect anomalies and deliver real solutions in key areas such as healthcare, energy, and industry.

This microcredential offers specialized training in Machine Learning and Deep Learning techniques for anomaly detection, addressing the training needs of sectors such as biomedicine and wind energy. The learning experience combines theory and practice to equip participants with the skills to analyse complex data, such as biomedical images and time series, using artificial intelligence.

The Machine Learning and Deep Learning for Anomaly Detection in Images and Time Series course prepares participants to develop key competencies in data analysis and AI applied to anomaly detection.

Objectiu de l'acte

• Analyse data to identify patterns and anomalies.
• Design, train, and evaluate machine learning models to detect anomalies in biomedical images and time series.
• Detect anomalies by applying deep learning techniques using advanced architectures such as CNN and RNN.
• Evaluate performance with appropriate metrics and interpret results for real-world application.
• Integrate solutions into production environments, deploying anomaly detection models to ensure operational efficiency.

T'interessa si ets...

Professionals from various sectors who need to apply advanced machine learning and deep learning techniques to detect anomalies. In particular, it focuses on the following areas: - Biomedicine and Health. - Wind Energy and Renewable Energies. - Manufacturing Indsutry.