Deep learning of AI for Manufacturing

This course covers practical applications such as predictive maintenance, demand forecasting, quality control, anomaly detection, and natural language processing for requirement traceability. You will gain hands-on experience applying deep learning models, including neural networks and CNNs, to optimize operations, enhance product quality, and leverage AI in real-world manufacturing contexts. 

What you will learn: 

• How to reduce noise in data to improve quality and accuracy. 
• Selecting and applying algorithms like logistic regression, neural networks, and CNNs for industrial data analysis. 
• Using one-class classifiers and statistical process control techniques in manufacturing. 
• Practical applications including predictive maintenance, demand forecasting, quality control, anomaly detection, and NLP for traceability. 

Follow the ‘go to course’ and sign up!