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06/20/2024 11:09

Studying artificial intelligence and machine learning at Leuphana

Henning Zuehlsdorff Pressestelle
Leuphana Universität Lüneburg

    Today, huge amounts of data are generated in many areas of daily life and the world of work. The certificate course in Artificial Intelligence and Machine Learning at Leuphana University Lüneburg prepares participants to evaluate these data volumes in a targeted manner and make them usable for their companies. The course starts in October 2024 and applications can be submitted until July 15. Interested parties can seek individual advice in advance.

    The part-time two-semester course provides practical training in the targeted evaluation of large and complex data sets using the latest methods of statistical data analysis. It comprises four modules covering the basics of machine learning, deep learning and neural networks, mathematics and statistics as well as an in-depth study of machine learning. Participants can use this qualification to advance the digital transformation in their companies.

    The Artificial Intelligence and Machine Learning certificate is designed for professionals who want to use large amounts of data in their professional field and already have basic knowledge in this area (statistics or programming language) as well as a bachelor's or diploma degree. All courses take place at weekends. There are only a few attendance dates on campus. The course can therefore be easily combined with a full-time job and family commitments.

    The course can be completed with a university certificate. The credit points earned can be credited towards a part-time Master's degree course, for example.

    Interested parties can arrange personal consultations with course coordinator Maria Kruse (maria.kruse@leuphana.de, phone 04131.677-2129). Interested companies who would like to train their employees accordingly are also welcome to make an individual appointment for further information.

    Further information is available at: http://www.leuphana.de/ze-machine-learning


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    Criteria of this press release:
    Business and commerce, Journalists, Scientists and scholars, all interested persons
    Economics / business administration, Information technology, Mathematics, Social studies
    transregional, national
    Advanced scientific education, Studies and teaching
    English


     

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