Hands-on workshops on cutting-edge AI and machine learning topics. Learn practical skills and explore the latest technologies.


February 3, 2026
BLISS x Google: Unleash the Power of Agentic AI
Generative AI models have the potential to increase productivity and provide access to data, but they need good context to be truly useful. In this hands-on workshop, you will learn how Knowledge Graphs and Retrieval Augmented Generation (RAG) can help your GenAI projects avoid hallucination and provide access to reliable data.
Diana Nanova - Google


January 21, 2026
BLISS x dida: Theory Meets Practice #2: Giving Eyes to your AI: Engineering Multimodal Agents with Haystack
Large Language Models are no longer limited to text - modern AI systems can see, reason across modalities, and act on rich, multimodal inputs. With these new capabilities comes increased complexity: how do we design multimodal agents that reliably understand visual information, integrate it with language, and remain controllable in real-world applications? We explore how to give your AI eyes by engineering powerful multimodal agents using Haystack
Bilge Yücel - dida and deepset


January 7, 2026
BLISS x dida: Theory Meets Practice #1: Opening the Black Box: A Hands-On Guide to Explainable AI for LLMs
While Large Language Models have demonstrated unprecedented capabilities in reasoning and retrieval, their internal decision-making processes remain largely opaque. As they grow in complexity, treating these models as 'black boxes' is no longer sufficient for building reliable, safe, and transparent systems.
Reduan Achtibat - dida and Fraunhofer HHI


December 11, 2025
BLISS x InstaDeep: Foundational Models for Genomics: Decoding Genomic Sequences
Genomics foundation models have emerged as powerful tools to decode the human genome and understand how genetic variants affect disease and traits. In this hands-on workshop, we will provide an overview of how these models learn the regulatory code of the genome, discuss specific models and applications, and get hands-on experience implementing them.
Miguel Arbesú, Bernardo Almeida, Jonas Hirsch - InstaDeep