University of Michigan
AI for Mechanical Engineers Specialization
University of Michigan

AI for Mechanical Engineers Specialization

Explore Emerging Applications of Machine Learning. Learn to lead in the field of mechanical engineering by leveraging AI technologies to drive innovation, efficiency, and sustainability across diverse applications and industries.

Wei Lu

Instructor: Wei Lu

Included with Coursera Plus

Get in-depth knowledge of a subject

(89 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(89 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • Implement AI-driven optimization in mechanical design processes

  • Integrate machine learning techniques for autonomous system applications

  • Develop solutions for energy efficiency and biomedical challenges using AI

  • Evaluate and apply cutting-edge AI methods to address mechanical engineering problems

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
9 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Michigan

Specialization - 3 course series

What you'll learn

  • Learn the fundamentals of artificial intelligence (AI) relevant to engineering design and optimization processes

  • Enhance engineering design creativity and optimize strategies by applying AI techniques

  • Learn to discern appropriate applications of AI to ensure effective integration into workflows

  • Learn to interpret outputs generated by AI models accurately

Skills you'll gain

Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Algorithms, Machine Learning, Data-Driven Decision-Making, Technical Design, Deep Learning, and AI Product Strategy

What you'll learn

  • Revise

Skills you'll gain

Artificial Intelligence, Reinforcement Learning, Algorithms, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Automation, Generative AI, Machine Learning Algorithms, Deep Learning, Artificial Neural Networks, Machine Learning Software, Statistical Machine Learning, Machine Learning Methods, and Image Analysis

What you'll learn

  • Gain proficiency with AI techniques for energy optimization

  • Develop an understanding of AI applications in biomedical sciences

  • Experiment with AI approaches to address energy and biomedical problems

Skills you'll gain

Artificial Intelligence, Medical Imaging, Applied Machine Learning, Predictive Modeling, Energy and Utilities, Anomaly Detection, Bioinformatics, Electric Power Systems, Molecular Biology, Artificial Neural Networks, Generative AI, Image Analysis, Sustainable Technologies, Deep Learning, Medical Science and Research, Pharmaceuticals, Machine Learning, and Precision Medicine

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Wei Lu
University of Michigan
3 Courses9,174 learners

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