Artificial Intelligence for Electrical Engineers: Theory and Applications

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Course overview
  • Level: Intermediate
  • Study period: 16 weeks
  • Author: AIAT
  • Evaluation:
    Self-Assessments/Projects
  • Rich learning experiences:
    300-400 hours
This internship-simulated course trains electrical engineers to apply AI in predictive modeling, construction automation, and smart infrastructure. Participants apply machine learning to tackle real-world challenges, driving efficiency, safety, and sustainability in engineering projects. 

Apply cutting-edge AI research to identify and implement innovative solutions for real-world organizational challenges. 

Design, develop, and deploy scalable AI systems using Python and other industry-standard tools. 

Critically evaluate ethical, legal, social, and cultural implications of AI technologies. 

Utilize AI-driven tools for predictive maintenance, and intelligent control systems. 

Integrate data-driven approaches to improve decision-making in electrical engineering practices. 

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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