# ML engineer

Source: https://freeaicourses.com/roadmaps/ml-engineer

## Skill map

- Python fundamentals: Every later skill assumes this.
- Core ML algorithms: You need to know what's inside the box before you deploy it.
- Deep learning: Most production ML today is deep learning under the hood.
- Deployment and monitoring: The part that separates a notebook from a real product.

## Related pages

- [Kaggle Learn: Python](https://freeaicourses.com/courses/kaggle-python)
- [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)
- [Become an ML engineer](https://freeaicourses.com/paths/ml-engineer)
- [Skill roadmaps](https://freeaicourses.com/roadmaps)