ML engineer
From Python fundamentals to a model running reliably in production.
Which skills do you need?
Foundations
Core
Core ML algorithms
EssentialYou need to know what's inside the box before you deploy it.
Specialise
Deep learning
EssentialMost production ML today is deep learning under the hood.
Prove it
Deployment and monitoring
EssentialThe part that separates a notebook from a real product.
No free course reviewed for this skill yet.
Prefer a step-by-step route?
- Become an ML engineer
Deploy, monitor and maintain models in production
Rather have it in order?
Learning paths turn a roadmap into a week-by-week plan with the courses already picked.

