Learning Path

Data Science Fundamentals → Deployment and Monitoring of Models

This path equips data scientists with the skills to apply machine learning and data analytics to manufacturing challenges, including predictive maintenance, quality prediction, and process optimization. It covers essential data science foundations, sensor data analysis, anomaly detection, and integration with IIoT and supply chain systems, culminating in practical deployment and monitoring strategies.