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Roles / Data and machine learning

MLOps engineer

Gets models out of notebooks and keeps them running. Pipelines, deployment, monitoring and retraining.

Draft. This list is our judgement and hasn’t been checked against real job postings yet. How roles get checked

How far

14 stops to go, about 366 hours of study.

Open a stop to see the book, the video course and the practice for it. Tick its circle when you've finished.

  1. 40 h

    Maths foundations. Ready to start.

  2. 40 h

    Maths foundations. Ready to start.

  3. 40 h

    Programming. Ready to start.

  4. 8 h

    Programming. Ready to start.

  5. 6 h

    Programming. Ready to start.

  6. 12 h

    Programming. After Programming in Python.

  7. 60 h

    Machine learning. After Linear algebra, Probability and Programming in Python.

  8. Tool12 h

    Infrastructure and operations. After The shell and command-line tools.

  9. Tool8 h

    Infrastructure and operations. After Git and Testing and debugging.

  10. 30 h

    Machine learning. After Machine learning and Git.

  11. Tool25 h

    Data. After Programming in Python.

  12. 35 h

    Systems. After Programming in Python.

  13. Project35 h

    Machine learning. After Machine learning and Data wrangling with pandas.

  14. 15 h

    Infrastructure and operations. After Computer networks.

That's everything for to get hired. Switch "How far" to see what comes after.