Machine Learning in Production
Completed by Susanne Steigler
May 13, 2026
11 hours (approximately)
Susanne Steigler'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: Model Training
- Category: Data Quality
- Category: Data Integrity
- Category: Unstructured Data
- Category: Model Evaluation
- Category: Data Collection
- Category: Data Validation
- Category: Model Deployment
- Category: Model Optimization
- Category: System Monitoring
- Category: Machine Learning
- Category: Applied Machine Learning
