Explainable AI for Neural Networks: ENHANCE Intensive Course at TU Delft | Gdańsk University of Technology

During this intensive 5-day course, participants will explore the core methods of Explainable AI (XAI) for neural networks, including feature attribution, counterfactual explanations, and concept-based approaches. The programme also covers how to assess the quality and trustworthiness of AI-generated explanations, as well as how different stakeholders evaluate them. Teaching combines lectures with interactive learning activities and collaborative group work.

The course will be offered in a hybrid format, allowing participants to attend either on campus at TU Delft or online. It is intended for participants with prior knowledge of Deep Learning. Participants will receive 2 ECTS credits.

Key information:

• Format: Hybrid (on campus at TU Delft or online)
• Language: English
• Target audience: Master's students and PhD candidates/researchers
• Prerequisite: Prior knowledge of Deep Learning
• ECTS credits: 2
• Teaching period: 14–21 November 2026
• Application deadline: 15 September 2026

This course offers an excellent opportunity to gain practical knowledge in one of the most important areas of modern artificial intelligence and to connect with students and researchers from across the ENHANCE Alliance.

More information about the course and registration on the ENHANCE ILC platform