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Published education catalogue

Data Engineering II

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: 1TD076

This course deepens knowledge in cloud computing and analysis of large and complex datasets, with an emphasis on streaming data. A central part of the course is on technology and infrastructure for holistic treatment of large-scale AI projects and pipelines, from data ingestion to training to putting models in production. Emphasis is on the practical use of platforms and tools, and the course serves as a foundation for the machine learning pipeline architect.

Entry requirements

120 credits. Participation in Data Engineering I. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

  • Data Engineering II

    Uppsala University

    Uppsala

    Start date:

    End date:

    Pace of study: 67 %

Source and updates

Skolverket Susa-navet

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Published: .

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-09-10T10:12:42