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+Lecture 1: Introduction to AI
+
+- Historical context: Expert systems -> machine learning -> deep learning
+- What is AI? Deep learning? Neural Networks?
+- What makes AI useful in engineering: automation, prediction, anomaly detection
+- Types of engineering problems where ai is superior.
+- Application:
+ - Predictive maintenance
+ - Quality control
+ - CFD/FEA surrogate models
+- Limitations, misconceptions and ethical considerations
+- Short demo: Show a simple trained model making prediction (linear regression)
+