Roles / Data and machine learning
Deep learning engineer (vision / language)
Trains and ships neural networks for images, text or speech. More modelling than an ML engineer, more shipping than a researcher.
Draft. This list is our judgement and hasn’t been checked against real job postings yet. How roles get checked
12 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.
- 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.
- 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.
- 20 h
Machine learning. After Neural networks and backpropagation.
- 25 h
Machine learning. After Neural networks and backpropagation and Convolutional networks.
- Tool30 h
Machine learning. After Machine learning.
- Tool25 h
Data. After Programming in Python.
- 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.