Machine Learning in Production
Completed by MAHAMADENE HAROUN Souleyman
February 8, 2026
11 hours (approximately)
MAHAMADENE HAROUN Souleyman'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: Model Optimization
- Category: System Monitoring
- Category: Data Maintenance
- Category: Continuous Deployment
- Category: MLOps (Machine Learning Operations)
- Category: Data Preprocessing
- Category: Data Quality
- Category: Applied Machine Learning
- Category: Data Collection
- Category: Data Validation
- Category: Model Evaluation
