Machine Learning in Production
Completed by Vitaly Sergeev
February 8, 2025
11 hours (approximately)
Vitaly Sergeev'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: Data Integrity
- Category: Unstructured Data
- Category: Data Preprocessing
- Category: Data Maintenance
- Category: MLOps (Machine Learning Operations)
- Category: Machine Learning
- Category: Data Validation
- Category: Model Optimization
- Category: System Monitoring
- Category: Continuous Deployment
- Category: Model Evaluation
- Category: Data Collection
