Track 10Ship & watch
3 modules · 2 labs

Containerized FastAPI & Streamlit Applications

Package ML models into lightweight Docker containers and build interactive front-end web apps.

Assumes: Containers & Model Serving Foundations.

Modules

  1. Building High-Performance Inference APIs with FastAPI
  2. Creating Interactive Web Frontends with Streamlit
  3. 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.