The program
great-location
Full focus on-site - no distractions, just deep learning.
close-to-industry
Build projects with experts, shaped by industry needs.
collaborative
Learn build together - teamwork, project-based. Self-directed, expert-reviewed.
Featured tracks
26 Oct
↓
27 Nov
Data Science
with Kaufland
Analyze and predict retail demand using Python and modern machine learning algorithms. Featuring data clustering, experiment tracking via MLFlow, and an interactive Streamlit dashboard to compare demand predictions against actual sales and baseline models.
31 Aug
↓
2 Oct
AI Engineering
with appliedAI
x TUM Venture Lab
The AI Engineering track is a five-week, full-time programme in which teams design and build an application based on their own idea for an AI agent system including one week of final pitch preparation. Submit your proposal as a PDF by 20.08.2026 to level3@arkadia.hn