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GermanUDS BDAI_industrial-ai
Industrial AI

Industrial AI explores the application of Artificial Intelligence, Machine Learning, and data-driven technologies in industrial environments.

  1. Course Start:

  2. Course End:

  3. Estimated Effort:

    06:00 h/week
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Industrial AI

About This Course

The course introduces learners to how AI is transforming manufacturing, production, maintenance, quality control, supply chains, and smart factories. Participants will gain an understanding of key concepts such as predictive maintenance, intelligent automation, industrial data analytics, digital twins, computer vision, and Industry 4.0. Through real-world examples and case studies, learners will discover how AI can improve efficiency, reduce costs, enhance decision-making, and drive innovation across industrial sectors.

By the end of the course, you will:

  •  Learn using AI effectively, treating AI tools as helpful interns that support your study process.
  • Use practical workflows and strategies to integrate different AI interns into your learning routine.
  • Apply AI tools for writing, researching, coding, and creating to improve productivity and understanding.
  • Evaluate and guide AI outputs responsibly, ensuring accuracy and ethical use in academic contexts.

Join the Conversation

Ready to discuss how AI can transform your learning? Join our online community to explore practical ways to work with AI “interns.” Share ideas, and connect with peers shaping the future of education and digital collaboration worldwide.

Required Skills

General IT knowledge

Course Level

Introductory

Who Is This Course For?

This course is designed for

  • Students who want practical, future-ready skills to thrive in a digital learning environment.
  • Educators who want to innovate their teaching
  • Anyone eager to thrive in an AI-driven world.

Estimated Effort

3-6 hours per course week.

Duration

2 weeks

Upon Successful Completion

Confirmation of Participation

If you  want to continue your learning journey, explore our study programs and discover more opportunities to grow with the German University of Digital Science. 👉 Discover our study programs

Course Staff

Prof. Dr. Feiyu Xu

Prof. Dr. Feiyu Xu

Dr. Feiyu Xu is an AI expert known for leadership in research and industry. She serves on multiple supervisory boards, including Siemens Energy and ZF Group, and is a Non-Executive Director at Airbus Group. She co-founded nyonic GmbH (2023–2024) and was Senior Vice President, Global Head of AI at SAP SE (2020–2023) and Vice President and Head of the AI Lab at Lenovo Group (2017–2020). Previously, she was a Principal Researcher at the German Research Center for AI (DFKI). Recognized among Forbes China’s Top 50 Women in Tech (2019) and Manager Magazin’s 23 Most Influential Women in AI (2025), she is a frequent AI keynote speaker.

Frequently Asked Questions

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See our list of supported browsers for the most up-to-date information.

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