Artificial Intelligence for Civil Engineering: 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 h    ours
Artificial Intelligence for Civil Engineering: Theory and Applications is a comprehensive course designed to equip civil engineers with the knowledge and skills to leverage AI in their field. The course covers fundamental AI concepts and explores practical applications in civil engineering, such as predictive modelling, optimization techniques, construction automation, and smart infrastructure design. Participants will learn how to apply machine learning and data-driven approaches to solve real-world engineering challenges, enhancing efficiency, safety, and sustainability in construction and infrastructure projects.

Unlock your career's potential with an industry-recognized professional qualification certificate

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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