Pregraph

Roles / Data and machine learning

Machine learning engineer

Trains models and, more often, gets them working reliably in a real product.

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 353 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

    Programming. Ready to start.

  2. 6 h

    Programming. Ready to start.

  3. 8 h

    Programming. After Programming in Python.

  4. 10 h

    Data. Ready to start.

  5. Tool25 h

    Data. After Programming in Python.

  6. 60 h

    Machine learning. After Programming in Python.

  7. 6 h

    Algorithms and data structures. Ready to start.

  8. 10 h

    Algorithms and data structures. After Programming in Python.

  9. 25 h

    Algorithms and data structures. After Arrays, lists, stacks and queues and Big-O and running time.

  10. 20 h

    Algorithms and data structures. After Recursion and Big-O and running time.

  11. 8 h

    Algorithms and data structures. After Arrays, lists, stacks and queues.

  12. 40 h

    Algorithms and data structures. After Dynamic programming, Graph algorithms and Hash tables.

  13. 60 h

    Machine learning. After Machine learning.

  14. Project35 h

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

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