zzsza/Boostcamp-AI-Tech-Product-Serving
Korean AI bootcamp educational materials covering ML model serving in production using FastAPI, MLflow, and Docker.
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This repository contains code materials for the Boostcamp AI Tech Product Serving course. It covers batch serving workflows using Airflow and online serving APIs built with FastAPI, alongside Docker containerization practices. The materials also include model management and experiment tracking with MLflow, providing hands-on experience deploying and managing machine learning models in production environments.
Frequently asked
- What is zzsza/Boostcamp-AI-Tech-Product-Serving?
- Korean AI bootcamp educational materials covering ML model serving in production using FastAPI, MLflow, and Docker.
- Is Boostcamp-AI-Tech-Product-Serving open source?
- Yes — zzsza/Boostcamp-AI-Tech-Product-Serving is an open-source project tracked on heatdrop.
- What language is Boostcamp-AI-Tech-Product-Serving written in?
- zzsza/Boostcamp-AI-Tech-Product-Serving is primarily written in Python.
- How popular is Boostcamp-AI-Tech-Product-Serving?
- zzsza/Boostcamp-AI-Tech-Product-Serving has 473 stars on GitHub.
- Where can I find Boostcamp-AI-Tech-Product-Serving?
- zzsza/Boostcamp-AI-Tech-Product-Serving is on GitHub at https://github.com/zzsza/Boostcamp-AI-Tech-Product-Serving.