AI for Engineers
Why Enroll in This Course?
Stay at the forefront of AI in engineering, driving innovation in design optimization and autonomous systems.
Expand your knowledge and gain cutting-edge insights and practical tools to tackle complex technology and innovation challenges.
Gain valuable insights on AI practical applications and strategies in engineering through real-world examples and in-depth case studies.
Build meaningful professional connections with peers and experts, fostering collaboration and networking opportunities.
Key Takeaways
Master ML algorithms for engineering applications
Build ML setup, training, validation, & visualization models
Optimize product design and simulations with AI tools
Leverage AI for autonomous mechanical systems operation
Identify AI opportunities in engineering
Who Is The Program For?
Engineers and related professionals eager to enhance efficiency and creativity with AI tools
Managers and executives seeking AI-driven solutions to boost efficiency and innovation
AI experts looking to apply advanced technologies to engineering
Program Modules
Learning Objectives
Grasp AI fundamentals and its applications in mechanical engineering.
Explore AI mechanical engineering applications like design optimization, manufacturing, and energy.
Master machine learning for modeling, optimization, and analysis.
Work with large datasets using advanced visualization tools.
Analyze real-world AI mechanical engineering applications through case studies across industries.
Digital Certificate
All participants who successfully complete the course will receive an Univeristy of Michigan Digital Certificate, as well as 8 Continuing Education Units (CEUs)*.
To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.
*The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program.
Learning Experience
Experience flexible learning with self-paced activities, recorded videos, and readings. Join live webinars and interactive sessions with peers and instructors for real-time insights. Dive deeper through engaging forums for collaborative hands-on activities. University of Michigan offers flexibility, interaction, and real-world learning. In summary, your learning experience includes:
Live webinars & interaction with peers and instructors
Self-paced activities, readings, and recorded videos
Engaging discussion forums
Innovative e-learning platform
Instructor
Professor, Mechanical Engineering | ME Associate Chair for Facilities and Planning
Wei Lu is a Professor at the Department of Mechanical Engineering, University of Michigan - Ann Arbor. He received his Ph.D. from Princeton University and his B.S. from Tsingh...
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