- Cloud Deployment
- Debugging
- Data Preprocessing
- Applied Machine Learning
- Data Validation
- Data Quality
- Model Evaluation
- Feature Engineering
- Model Deployment
- Machine Learning
- Continuous Monitoring
- MLOps (Machine Learning Operations)
Machine Learning in Production
Completed by Tushar Singh
August 22, 2022
11 hours (approximately)
Tushar Singh'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
