Machine Learning in Production
Completed by Bruno Castro
December 1, 2025
11 hours (approximately)
Bruno Castro'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: Unstructured Data
- Category: Application Deployment
- Category: Data Quality
- Category: Data Synthesis
- Category: Continuous Monitoring
- Category: Model Training
- Category: Data Integrity
- Category: Model Deployment
- Category: Continuous Deployment
- Category: Data Maintenance
- Category: MLOps (Machine Learning Operations)
- Category: Machine Learning
