Machine Learning in Production
Completed by Eduardo Yuruan Santi MIRÓ
May 1, 2026
11 hours (approximately)
Eduardo Yuruan Santi MIRÓ's account is verified. Coursera certifies their successful completion of Machine Learning in Production
What you will learn
Identify key components of the ML project lifecycle, pipeline & select the best deployment & monitoring patterns for different production scenarios.
Optimize model performance and metrics by prioritizing disproportionately important examples that represent key slices of a dataset.
Solve production challenges regarding structured, unstructured, small, and big data, how label consistency is essential, and how you can improve it.
Skills you will gain
- Category: Application Deployment
- Category: System Monitoring
- Category: Model Optimization
- Category: Model Training
- Category: Data Synthesis
- Category: Data Quality
- Category: Unstructured Data
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Data Collection
- Category: Data Maintenance
- Category: Model Deployment
