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AI for Mechanical Engineers

What You'll Learn

  • Implement AI-driven optimization in mechanical design processes
  • Develop solutions for energy efficiency and biomedical challenges using AI
  • Integrate machine learning techniques for autonomous system applications
  • Evaluate and apply cutting-edge AI methods to address mechanical engineering problems
3-Course Series
24 hours
8 hours per course (approx.)
Shareable Certificate
Add to your LinkedIn profile

About AI for Mechanical Engineers

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.

Skills You'll Gain

  • Healthcare Quality
  • Multidisciplinary Design Optimization
  • Autonomous Vehicles
  • Robotics
  • Predictive Maintenance
  • Computational Design
  • Machine Learning
  • Sustainability Procedures
  • Generative AI Agents

What You'll Earn

Certificate of Completion
Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Modality
100% Online
Format
Self-Paced
Subject
  • Science
  • Technology
Platform
Coursera
Portrait of Wei Lu
Wei Lu

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.

Enrollment Options

Individuals

This experience is available to individual learners on the following platforms:

U-M Community

Students, faculty, staff, and alumni of the University of Michigan get free access.

Organizations

Special pricing and tailored programming bundles available for organizational partners.

What are Coursera and edX?

Michigan Online learning experiences may be hosted on one or more learning platforms. Platform features may vary, including payment models, social communities, and learner support.

Coursera

  • Hosts online courses, series, and Teach-Outs from Michigan Online
  • Enroll and preview courses anytime
  • May earn a non-credit certificate from Coursera

edX

  • Hosts online courses and series from Michigan Online
  • Many offer a free (limited) audit option
  • May earn a non-credit certificate from edX

For more information visit the What are Coursera and edX? FAQ section

3 Courses in this series

  1. Free U-M Access Course

    AI for Design and Optimization

    Discover how AI powers creative design and optimization using generative tools, algorithms, and advanced modeling techniques.

    based on 52 ratings
  2. Free U-M Access Course

    AI for Autonomous Vehicles and Robotics

    Explore machine learning applications that enable autonomy in vehicles and robots, from perception to decision-making.

    based on 40 ratings
  3. Free U-M Access Course

    AI for Energy and Biomedical Applications

    Examine how AI transforms energy systems and healthcare through predictive analytics, diagnostics, and personalized medicine.

    based on 22 ratings

What Learners Are Saying

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