Learning area
ML Engineering & MLOps
Learn to develop, deliver, monitor, and operate machine-learning systems beyond the notebook.
Prerequisites
Start after Python fundamentals and supervised learning.
What this path covers
- Reproducible model development
- Serving and delivery
- Monitoring and operations
- Platform tools and an operational capstone
Lessons are published in source-reviewed batches with deterministic, local exercises. No hosted account is required.
Start with maintainable ML projects