Containerizing LLM Applications with Docker
Learn to package your RAG application and its dependencies into Docker containers for consistent deployment across environments.
Why Containerize LLM Applications?
Deploying Large Language Model (LLM) applications can be tricky. You often deal with many dependencies, specific Python versions, and different environments.
Containerization helps solve these issues by packaging your app and all its needs into a single, isolated unit. Think of it as a lightweight, portable virtual machine.
Meet Docker: The Container Tool
Docker is the most popular tool for creating and managing containers. It allows you to build, ship, and run applications consistently across different environments.
- A Docker Image is a lightweight, standalone, executable package that includes everything needed to run a piece of software.
- A Docker Container is a runnable instance of a Docker Image. You can start, stop, move, or delete a container.
All lessons in this course
- Containerizing LLM Applications with Docker
- Orchestration with Kubernetes for Scalability
- CI/CD for LLM Application Deployment
- Managing Configuration and Secrets in Deployment