Machine Learning
Model Serving with FastAPI
In this course, learners transition to model serving by integrating their ML model into a web service using FastAPI. The focus is on creating a functional API that leverages the model persistence function from Course 1 and ensures that the prediction endpoint is both robust and secure.
FastAPI
pytest
Python
3 lessons
17 practices
2 hours
Badge for Model Deployment Processes,
Model Deployment Processes
Course details
Building a Basic FastAPI Application for Diamond Price Prediction
Setting Up FastAPI Metadata
Enhance Your FastAPI Root Endpoint
Enhance Your API Health Check
Running Your API with Uvicorn
Enhance API with Asynchronous Endpoints
Building a FastAPI Application
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