Machine Learning in Production
Completed by Patcha Kunakulsawat
April 12, 2026
11 hours (approximately)
Patcha Kunakulsawat'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: Continuous Monitoring
- Category: Data Quality
- Category: Model Training
- Category: Data Integrity
- Category: Application Deployment
- Category: Data Maintenance
- Category: Data Synthesis
- Category: Data Collection
- Category: Data Validation
- Category: Applied Machine Learning
