Short Advanced Studies Hochschule Luzern/FHZ in NLP and LLMs Fundamentals or course confirmation
Tech enthusiasts interested in technology without extensive prior knowledge of NLP get the perfect introduction to the subject in this program. They will acquire practical skills and gain an understanding of the basics.
People in technical professions wishing to further develop their NLP skills will find a well-structured and practical environment to deepen their knowledge.
Students and researchers preparing for a career in Artificial Intelligence can build a solid foundation in NLP.
A degree at tertiary level (ETH/University, University of Applied Sciences, college of higher education and others) and at least two years of professional experience after graduation. No admission requirements apply to participation in the specialist course (without ECTS).
Prior skills in Python programming and basic experience in data handling.
Academic Level: This continuing education program is offered at Master’s level (EQF Level 7-8 / NQF-HS 7-8) and corresponds to a postgraduate qualification within the Bologna framework.
Computer Science and Information Technology
This program applies varied methodologies that transcend conventional classroom teaching. We offer a unique learning environment based on a variety of methods to make sure participants develop an in-depth understanding of the subject and the ability to apply it in their professional environment.
Supervised self-study: Our participants receive high-quality learning materials and resources that allow them to learn at their own pace. Highly qualified tutors are available to discuss questions and provide guidance and support throughout the program.
Transfer project in a professional environment: Our approach integrates practice-oriented transfer projects that allow participants to directly apply the skills and knowledge acquired in their work environment.
Specialization projects: Participants also have the chance to specialize in thematic areas of relevance to their professional development. This creates needs-based expertise and strengthens the applicability of skills.
Collaborative learning: Through group projects and group discussions, we foster collaboration among, and the exchange of ideas between, participants. This creates a dynamic learning environment in which diverse perspectives are being considered.
