Machine Learning in Production
Completed by Juan Eduardo Marmol
April 14, 2026
11 hours (approximately)
Juan Eduardo Marmol'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: Applied Machine Learning
- Category: Model Deployment
- Category: Data Integrity
- Category: Unstructured Data
- Category: Data Quality
- Category: Model Training
- Category: Data Synthesis
- Category: Data Collection
- Category: Data Validation
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: MLOps (Machine Learning Operations)
