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Bootcamp Natural Language Processing

Natural Language Processing & Large Language Models

This bootcamp offers a comprehensive introduction from the basics to the latest developments >
Graduate Veruska about the Bootcamp Programm
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  1. Computer Science Computer Science
  2. Continuing Education Continuing Education
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  4. Bootcamp Natural Language Processing & Large Language Models Bootcamp Natural Language Processing & Large Language Models

Bootcamp Natural Language Processing & Large Language Models from Foundations to LLMs and beyond

Discover the fascinating world of Natural Language Processing: this bootcamp offers a comprehensive introduction from the basics to the latest developments such as LLMs, RAG, LLM Agents, LangChain, Prompt Engineering, and more. In this practice-focused bootcamp, you will tackle hands-on projects every day and build a portfolio of cutting-edge NLP applications over the course of the program. Learn how to address complex challenges with the most advanced technologies and take an active part in shaping the future.

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The program at a glance

This practice-focused bootcamp offers you a unique opportunity to immerse yourself in the world of natural language processing and to collect practical experience every day. Discover how artificial intelligence is shaping the future and learn to use this groundbreaking technology in your own professional environment. You will have our support and guidance over six intensive days, from the basic concepts to the latest developments and innovations in the field of Natural Language Processing (NLP).

The training provides an introduction to the concepts of NLP, including tokenization, lemmatization, and part-of-speech tagging. We then delve into the basics of modeling, which include vector representations and probabilistic models. Through practical exercises, you will immerse yourself in the world of transformer-based language models.

LLM Techniques and Applications

In this training, you will gain expertise in Large Language Models (LLM). We provide the fundamentals of prompt engineering and discuss Retrieval Augmented Generation (RAG) for optimizing the context of LLMs. As part of the bootcamp, you will build powerful LLM agents capable of completing tasks, solving problems, and working with a variety of tools. Participants also learn to optimize LLMs by engaging with fine-tuning embeddings and creating domain-adapted RAG chat models. The bootcamp also covers aspects of evaluation, bias, and fairness in natural language processing. Security aspects and basic MLOps are also addressed.

Why participate?

This specialized course offers you:

  1. Intensive practice projects: You will tackle hands-on projects every day and build a portfolio of cutting-edge NLP applications that reflects your newly acquired skills.
  2. Practical applicability: Learn how to use NLP at work to solve real-life problems and develop innovative solutions.
  3. State-of-the-art teaching methods: Our lecturers are seasoned professionals used to teaching complex concepts in a comprehensible and practice-focused way.
  4. Career benefits: No matter whether you want to develop your existing skills or enter the world of natural language processing, this specialized course will open new career opportunities for you.
  5. Networking opportunities: Meet like-minded people and expand your professional network.
More information

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.

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Lecturers

Namrata Gurung NLP LLM

Dr. Namrata Gurung 

AI Teach Lead and Principal Data Scientist @ QualityMinds GmbH, Postdoctoral Fellow @ Bern University of Applied Sciences

Tobias-Merinat-Machine-Learning
Tobias Mérinat

Machine Learning Engineer, Bundesamt für Zoll und Grenzsicherheit

Aygul Zagidullina

Dr. Aygul Zagidullina

Head of Program and Lecturer, Lucerne University of Applied Sciences and Arts

elena nazarenko

Dr. Elena Nazarenko

HSLU Lecturer, Head of Data&AI @ Witty Works, Postdoctoral fellow @ Paul Scherrer Institut, Postdoctoral Fellow @ Gothenburg University

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Facts

Start

19 September 2025

End

4 October 2025

Application deadline

1 week before the start of the program

Duration

6 days

Course costs

CHF 4000.–

Registration fee and course materials are included. Five percent discount is granted to members of Lucerne University of Applied Sciences and Arts Alumni. SVEB continuing education vouchers are accepted.

Head
  • Dr. Aygul Zagidullina
External head

Dr. Elena Nazarenko

Information events
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  • Monday, 16 June 2025, Online
  • Monday, 7 July 2025, Online
  • Wednesday, 27 August 2025, Online
  • Tuesday, 9 September 2025, Online
  • Tuesday, 23 September 2025, Online
  • Monday, 6 October 2025, Online
  • Wednesday, 15 October 2025, Online
  • Monday, 3 November 2025, Online
  • Monday, 24 November 2025, Online
  • Wednesday, 26 November 2025, Online
Degree

Course certificate 

Type

Continuing and executive education programmes

Tuition times

from 09:15 to 16:45

Friday, 19 September 2025
Saturday, 20 September 2025
Friday, 26 September 2025
Saturday, 27 September 2025
Friday, 3 October 2025
Saturday, 4 October 2025

 
Language of instruction
  • English
Venue

Rotkreuz

Contact hours

48

Target group

Our NLP certificate program is aimed at a broad audience of professionals and enthusiasts irrespective of technical background. However, certain pre-existing skills are useful, see requirements below:

Requirements
  • Basic knowledge of Python: Participants should have basic knowledge of Python, as the course is heavily based on this programming language.
  • Familiarity with data processing: An understanding of basic data processing techniques is beneficial, as these will be applied throughout the program.
  • Basic knowledge in machine learning / artificial intelligence: A solid grasp of the fundamental concepts of machine learning and artificial intelligence is helpful to make the most of the course content.

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.

Provider(s)

Computer Science and Information Technology
Continuing Education

Methodology

This certificate program is delivered in the shape of an intense bootcamp, with focus on day-to-day practical projects.  Participants should be ready to get actively involved in hands-on exercises and projects and deepen their understanding and consolidate their skills in the process. We offer a dynamic learning environment that transcends the traditional classroom setting. This to ensure that our participants develop a profound understanding of Natural Language Processing and the skills to apply it in practice.
Intensive hands-on projects: Our participants are actively involved in a wide range of practical natural language processing projects throughout the course. They finish it with a portfolio of cutting-edge NLP applications.
Expert-led practice: Highly qualified tutors are available to discuss questions and provide personal guidance and support.
Professional transfer projects: We integrate real-life transfer projects in which participants can directly apply the acquired skills in a professional setting. 
Assessed assignment: The assessed assignment is the successful completion of a project (project proposal on the final day of the course, submission of the finished project two months later).

Remarks

This Bootcamp is worth 5 ECTS credits.

Application

  • Apply now
  • Curriculum Bootcamp 

Dr. Aygul Zagidullina

Program Co-Director

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Dr. Elena Nazarenko

Program Co-Director

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Simone Brun

Program Services Coordinator

+41 41 757 68 63

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Contact Form

  • Do you have any questions or would you like to talk to us directly? (Only in German)

Information events

  • Monday, 16 June 2025, Online
  • Monday, 7 July 2025, Online
  • Wednesday, 27 August 2025, Online
  • Tuesday, 9 September 2025, Online
  • Tuesday, 23 September 2025, Online
  • more Information events

Further Programs

  • CAS Data Engineering and Applied Data Science
  • CAS Machine Learning
  • Fachkurs Deep Learning
  • Workshop Chat with Your Data, AMLD

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