Machine Learning Engineering for Production (MLOps) Specialization
Machine Learning Engineering for Production (MLOps) Specialization is a £39/mo intermediate-level course from Coursera (DeepLearning.AI), typically completed in 4 months (around 90 study hours).
- Price
- £39/mo
- Duration
- 4 months
- Level
- Intermediate
- Study hours
- 90 hours
- Provider
- Coursera (DeepLearning.AI)
About this course
Andrew Ng-led specialisation on deploying, monitoring and maintaining ML systems in production.
What you will be able to do
- Package, serve and version models in a reproducible way
- Train and evaluate models on a prepared dataset
- Analyse model errors, bias and overfitting
- Monitor deployed models for drift and degradation
- Assemble portfolio evidence you can explain and defend at interview
Highlights
- Andrew Ng
- MLOps
- Production
Questions people ask
How much does Machine Learning Engineering for Production (MLOps) Specialization cost?
Machine Learning Engineering for Production (MLOps) Specialization costs £39/mo through Coursera (DeepLearning.AI). Prices are checked against the provider's UK listing and can change.
How long does Machine Learning Engineering for Production (MLOps) Specialization take?
The provider lists 4 months. That works out at roughly 90 study hours in total.
Is Machine Learning Engineering for Production (MLOps) Specialization suitable for beginners?
It is pitched at intermediate level, so some prior experience helps.
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