Learning Tracks

Each track is carefully designed to take you from fundamentals to advanced expertise in your chosen field.

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Upcoming

AI Engineering track image
31 Aug
2 Oct

AI Engineering
by 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
Apply by proposal
Data Science track image
26 Oct
27 Nov

Data Science
by 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.
Applications open in 34 days

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