# Deep learning engineer

Source: https://freeaicourses.com/roadmaps/deep-learning-engineer

## Skill map

- ML foundations: You need the fundamentals before deep learning makes sense.
- Neural network fundamentals: The building block of every architecture after this.
- Practical deep learning: Training real vision and text models.
- Building from scratch: Proves you understand what frameworks abstract away.

## Related pages

- [Kaggle Intro to Machine Learning](https://freeaicourses.com/courses/kaggle-intro-machine-learning)
- [Machine Learning Crash Course](https://freeaicourses.com/courses/machine-learning-crash-course)
- [Practical Deep Learning for Coders](https://freeaicourses.com/courses/practical-deep-learning-for-coders)
- [Neural Networks: Zero to Hero](https://freeaicourses.com/courses/neural-networks-zero-to-hero)
- [Deep learning, hands-on](https://freeaicourses.com/paths/deep-learning)
- [Skill roadmaps](https://freeaicourses.com/roadmaps)