Machine Learning in Production
Completed by Mayank Saxena
August 29, 2025
11 hours (approximately)
Mayank Saxena'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: Continuous Monitoring
- Category: Application Deployment
- Category: Data Maintenance
- Category: Continuous Deployment
- Category: MLOps (Machine Learning Operations)
- Category: Model Training
- Category: Data Integrity
- Category: Unstructured Data
- Category: Data Synthesis
- Category: Model Optimization
- Category: System Monitoring
- Category: Machine Learning
