Applied Machine Learning Systems with FastAPI for Developers
Completed by Reka Zsigmond dr
May 10, 2026
20 hours (approximately)
Reka Zsigmond dr's account is verified. Coursera certifies their successful completion of Applied Machine Learning Systems with FastAPI for Developers
What you will learn
Implement core ML algorithms for classification, regression, and clustering tasks.
Preprocess and engineer data pipelines for reliable model input.
Evaluate and compare models using metrics, cross-validation, and testing.
Develop and modularize ML codebases for reuse and reproducibility.
Skills you will gain
- Category: Scikit Learn (Machine Learning Library)
- Category: Machine Learning
- Category: Development Testing
- Category: Model Deployment
- Category: Machine Learning Methods
- Category: Containerization
- Category: Unsupervised Learning
- Category: Data Processing
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Test Script Development
- Category: Feature Engineering
