Artificial Intelligence for Mechanical Engineers: Theory and Applications

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Course overview
  • Level: Intermediate
  • Study period: 16 weeks
  • Author: AIAT
  • Evaluation:
    Self-Assessment/Projects
  • Rich learning experiences:
    300-400 hours
Artificial Intelligence for Mechanical Engineers: Theory and Applications is an in-depth course designed to teach mechanical engineers how to integrate AI into their work. The course covers core AI principles and demonstrates their applications in areas like predictive maintenance, design optimization, advanced robotics, and smart manufacturing. Participants will learn to use machine learning algorithms and data analytics to improve system performance, enhance product design, and optimize manufacturing processes, driving innovation and efficiency in mechanical engineering projects.

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Our Facilitator

Dr. Ziggy Zdziarski

Artificial Intelligence Researcher

Dr. Ziggy Zdziarski is a researcher and lecturer in Artificial Intelligence, uniquely equipped with a PhD in AI, a Master’s in Philosophy, and a Master’s in Theology. His interdisciplinary expertise bridges technical innovation with ethical and philosophical insights, enabling him to tackle complex challenges in AI with a holistic approach. Dr. Zdziarski has made significant contributions to the field of AI through his research, teaching, and thought leadership. Beyond academia, he runs a successful blog at www.zbigatron.com, where he shares insights on AI, technology, and philosophy. His YouTube channel (@zbigatron) further extends his outreach, offering engaging content that simplifies AI concepts for learners and enthusiasts worldwide. With a passion for advancing AI responsibly, Dr. Zdziarski is dedicated to empowering the next generation of AI professionals while fostering meaningful conversations about the intersection of technology, ethics, and humanity.
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