Application of Machine Learning to Mechanical Engineering Graduate Certificate
From design optimization to robotics, fluids and manufacturing, data-driven approaches are transforming how complex mechanical systems are modeled, analyzed and improved.
As artificial intelligence and machine learning rapidly reshape engineering practice, mechanical engineers are increasingly expected to leverage advanced computational tools alongside traditional analytical methods.
This graduate certificate in Artificial Intelligence and Machine Learning for Mechanical Engineering provides a structured introduction to the principles, tools and applications of AI and ML within the mechanical engineering domain. The curriculum emphasizes optimization, modeling and simulation, mathematical methods, and hands-on programming using MATLAB and Python. Students are introduced to state-of-the-art machine learning and deep learning techniques, including convolutional neural networks (CNNs), reinforcement learning (RL), Transformer networks and autoencoders, with a focus on their practical engineering applications.
This certificate program will:
introduce and integrate the knowledge of artificial intelligence and machine learning and their application in various mechanical engineering disciplines such as heat transfer, robotics, fluids, design and manufacturing.
equip you with skills necessary for careers involving the use of machine learning in mechanical engineering applications.
utilize programming language skills for developing and applying machine learning in mechanical engineering applications.