Xebia Data & AI Winter School 2026

Participants will start with a gentle introduction to generative AI that demystifies large language models and creative AI tools. They then move on to an Agentic AI module that explores how autonomous agents can plan and execute tasks to add value. The journey concludes with the two‑day Certified Analytics Translation course, where learners develop the ability to translate business challenges into analytical use cases and lead AI projects by acquiring the basics, trade‑offs and ethical considerations of data & AI and learning how to identify, develop and execute AI use‑cases

Designed for those with some coding experience, participants begin with a refresher on Python and data‑analysis fundamentals, ensuring they can confidently manipulate and visualize data. They then progress to building and evaluating machine‑learning models and, ultimately, to exploring advanced techniques such as ensemble methods, unsupervised learning and deep learning. By the end, they’ll be able to construct end‑to‑end data‑science solutions and derive actionable insights from complex data sets.