Track 10Ship & watch
3 modules · 2 labsContainerized FastAPI & Streamlit Applications
Package ML models into lightweight Docker containers and build interactive front-end web apps.
Assumes: Containers & Model Serving Foundations.
Modules
- Building High-Performance Inference APIs with FastAPI
- Creating Interactive Web Frontends with Streamlit
- Multi-Stage Dockerfile Creation for ML Applications
Tools
- FastAPI
- Streamlit
- Docker
- Uvicorn
- Linux
Lab work
Linux shell scripting, Docker commands, and multi-container application deployment.