Applications

DaSh Specialisation course “LLMs: Generative AI for Engineers” : Applications are open until 24 March

Generative AI has emerged in recent years as a transformational technology for the digital age, bringing new life to natural language processing (NLP). The specialization course “LLMs: Generative AI for Engineers” follows undeniable advances in the field of NLP and its potential for increasing productivity in engineering.

In this context, the course introduces large-scale language models (LLMs), as well as their training, optimization, and adjustment to the specific constraints of the applications to be developed.

Focused on natural language processing applications, the course introduces fundamental techniques for text generation and the application of generative AI, LLMs in particular, following a “learning by doing” approach, typical of engineering training and our data science courses.

This course is part of the “Data Science for Engineers” (DASH) Specialization Program, as an optional course, and this edition will be taught online via Zoom.

Information:

Start Date: April 7, 2026
End Date: May 21, 2026
Schedule: Tuesdays and Thursdays, 5:30 PM to 8:00 PM
Price: €1,650
Format: Remote
Duration: 35 hours
Applications open until: March 24, 2026

10% discount for students enrolled in the IST “Alumni Network”

Objectives:

By the end of the program, trainees are expected to understand the potential of applying natural language processing to textual documents. In particular, they will have the skills to:

  • Explore the potential applications of generative AI based on LLMs;
  • Apply generative AI based on LLMs, following each of the information discovery steps;
  • Adapting LLMs to specific use cases by fine-tuning and optimizing the model’s objective function;
  • Maximizing model performance through state-of-the-art training, tuning, and optimization, taking into account application-specific constraints.

Target audience:

This Specialisation Course requires prior knowledge of basic programming (e.g., Python). Professionals without this knowledge interested in this course should complete a foundational course before applying.

More information and applications.