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
21 stops to go, about 533 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.
- 20 h
Maths foundations. Ready to start.
- 40 h
Maths foundations. After Mathematical proof.
- 40 h
Maths foundations. Ready to start.
- 40 h
Maths foundations. Ready to start.
- 40 h
Programming. Ready to start.
- 6 h
Programming. Ready to start.
- 10 h
Data. Ready to start.
- 60 h
Machine learning. After Linear algebra, Probability and Programming in Python.
- 25 h
Machine learning. After Machine learning.
- 20 h
Machine learning. After Neural networks and backpropagation.
- 6 h
Algorithms and data structures. After Discrete maths.
- 10 h
Algorithms and data structures. After Programming in Python.
- 25 h
Algorithms and data structures. After Arrays, lists, stacks and queues and Big-O and running time.
- 8 h
Algorithms and data structures. After Arrays, lists, stacks and queues.
- 8 h
Programming. After Programming in Python.
- 20 h
Algorithms and data structures. After Recursion and Big-O and running time.
- 40 h
Algorithms and data structures. After Dynamic programming, Graph algorithms and Hash tables.
- Tool25 h
Data. After Programming in Python.
- 30 h
Data. Ready to start.
- Project35 h
Machine learning. After Machine learning and Data wrangling with pandas.
- 25 h
Machine learning. After Neural networks and backpropagation and Convolutional networks.
That's everything for to get hired. Switch "How far" to see what comes after.