Professor of Mechanical Engineering
3 Learning Experiences
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AI for Mechanical Engineers is designed to help mechanical engineering professionals harness the power of artificial intelligence in their practice. With technological advancements rapidly reshaping industries, this series provides a comprehensive foundation in AI applications essential to mechanical engineering domains, empowering you to lead the integration of AI technologies in your field. From optimizing design processes to revolutionizing autonomous systems and addressing energy and biomedical challenges, you will delve into cutting-edge AI methodologies tailored for mechanical engineering contexts. After completing the series, you will be equipped with the knowledge and skills to navigate the evolving landscape of mechanical engineering and drive transformative change through the integration of AI technologies.
Professor of Mechanical Engineering
3 Learning Experiences
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Intermediate Level
Learners with general college-level education, industry-relevant experience, and professionals interested in the field are welcome.
Discover how AI powers creative design and optimization using generative tools, algorithms, and advanced modeling techniques.
Explore machine learning applications that enable autonomy in vehicles and robots, from perception to decision-making.
Examine how AI transforms energy systems and healthcare through predictive analytics, diagnostics, and personalized medicine.
AI and machine learning are revolutionizing design and optimization. They offer powerful tools that boost efficiency, accuracy, and creativity across different engineering fields.
Wei Lu Professor of Mechanical Engineering, U-M College of Engineering