Coursera - Ai For Mechanical Engineers Specialization
Released 4/2025
By Wei Lu - University of Michigan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 25 Lessons ( 4h 5m ) | Size: 2.2 GB
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.
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
Skills you'll gain
Generative AI
Optimization Algorithms
Robotics
Machine Learning
Artificial Intelligence
Gene Interpretation
Energy Optimization
Predictive Maintenance
Medical Imaging
Specialization - 3 course series
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.
Applied Learning Project
Learners will apply AI tools and techniques to address industry challenges, from enhancing design creativity to improving energy efficiency and advancing biomedical applications. Throughout the Specialization, you will engage in hands-on practice through individual projects and exercises, reinforcing your AI skills and knowledge in practical, real-world contexts.
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