Applied AI in Product and Production Development 7.5 credits

This course provides a comprehensive introduction to applied AI in product and production development. Students will learn about various AI technologies, with a focus on computer vision, machine learning, and neural networks. The course emphasizes practical and context-specific applications relevant to production facilities, including quality control and assembly processes. Students will gain hands-on experience with AI platforms, coding, and utilizing libraries and frameworks required to develop such projects. The course aims to bridge the gap between theoretical AI knowledge and its practical implementation in industrial settings. The course includes the following elements: - Introduction to AI in product and production development - Computer programming for AI applications - Computer vision techniques for industrial applications - Machine learning algorithms for products and production development - Neural networks and deep learning in manufacturing - AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) - AI in for example quality control, process optimization, and predictive maintenance