Deploy ML Model in Production with FastAPI and Docker

Learn ML deployment using FastAPI, Docker, CI/CD, and Cloud platforms
4.64 (7 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Deploy ML Model in Production with FastAPI and Docker
3,679
students
4 hours
content
Mar 2025
last update
$54.99
regular price

What you will learn

Deploy machine learning models in production using FastAPI and Docker.

Create APIs for ML models using FastAPI with optimized endpoints.

Containerize ML applications with Docker for scalable deployments.

Set up CI/CD pipelines for automated deployment and testing.

Train, evaluate, and save ML models, focusing on real-world datasets.

Deploy ML models to cloud platforms like Heroku and Microsoft Azure.

Build and integrate a simple frontend for ML model APIs.

Implement logging, error handling, and request handling in APIs.

6470073
udemy ID
2/17/2025
course created date
3/30/2025
course indexed date
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