Machine Learning in Production
Completed by Dimitrios Georgiou
August 25, 2025
11 hours (approximately)
Dimitrios Georgiou'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 Evaluation
- Category: Data Validation
- Category: Model Deployment
- Category: Continuous Deployment
- Category: MLOps (Machine Learning Operations)
- Category: Data Maintenance
- Category: Application Deployment
- Category: Data Integrity
- Category: Unstructured Data
- Category: Applied Machine Learning
- Category: Data Synthesis
- Category: Model Training
