Machine Learning in Production
Completed by ELIAS RODRIGUES UMBAR ZIMBETI
August 19, 2025
11 hours (approximately)
ELIAS RODRIGUES UMBAR ZIMBETI'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: Machine Learning
- Category: System Monitoring
- Category: Application Deployment
- Category: Model Optimization
- Category: Data Quality
- Category: Unstructured Data
- Category: Data Integrity
- Category: Data Maintenance
- Category: Data Preprocessing
- Category: Applied Machine Learning
- Category: Model Training
- Category: Data Synthesis
