Complete Guide to Build and Deploy an AI Agent with Docker Containers and Python
If you've ever thought about learning Docker for development and production, this is the course for you.
🔗 References and Links
- Course Code:
- Python Gmail Inbox Code:
- Docker Desktop:
- Docker Hub:
- Docker Model Runner:
- Railway:
- DigitalOcean Promo:
- FastAPI:
- SQLModel: sqlmodel.tiangolo.com/
- LangGraph:
- FastAPI Analytics Code:
- FastAPI Analytics Course: (in-depth SQLModel and Time Series)
- Google Gmail App Password:
👉 Topics Covered:
✅ Docker Fundamentals
✅ Create a custom Dockerfile
✅ Pushing to Docker Hub
✅ Using Docker Compose
✅ Running Static HTML with Docker
✅ How to use Public Open Source Docker Containers (postgres, redis, etc)
✅ Build Custom Docker Images
✅ Unlock Docker Compose Watch Mode for effective Development
✅ Benefits of the dockerignore file
✅ Mount and persist data with volumes in containers
✅ Hello World with Docker and FastAPI
✅ Unlock Deployment options
✅ Deploy to Railway with your Dockerfile (same as digitalocean)
✅ Deploy to DigitalOcean with your Dockerfile (same as railway)
✅ Integrate Postgres to FastAPI through Docker
✅ Inject runtime environment variables with env files
✅ Run open-source models directly with Docker Model Runner via Docker Desktop
✅ Learn how to nest API routes with FastAPI
✅ Integrate LangChain with FastAPI
✅ Use and manually run tools with LangChain-based AI Models
✅ Use LangGraph to use and run tools automatically
✅
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2025/06/14
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