Deploy ML Model in Production with FastAPI and Docker

Learn ML deployment using FastAPI, Docker, CI/CD, and Cloud platforms
4.36 (11 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Deploy ML Model in Production with FastAPI and Docker
4 829
students
4 hours
content
May 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.

Charts

Students
03/2504/2504/2504/2505/2505/2501 5003 0004 5006 000
Price
Rating & Reviews
Coupons Issued
03/2503/2503/2504/2504/2504/2505/251251020501002005001 000
Enrollment Distribution
6470073
udemy ID
17/02/2025
course created date
30/03/2025
course indexed date
Bot
course submited by
Deploy ML Model in Production with FastAPI and Docker - Coupon | Comidoc