Build and Deploy an AI Agent with Docker & Python

AI Agents are taking over but do you know how to build and deploy one?

In this course, I'll show you exactly what you need to do to develop, build, and deploy an AI Agent using Docker and Python.

Learn the fundamentals of building an app with Docker so you can deploy anywhere containers can run (basically everywhere). This foundation also will serve you during local development as well.

Python is the most popular programming language for developing AI software. For good reason: building powerful software with Python is fast, easy, effective, explainable, and, most important, expandable.

Python has a rich echo system of before-the-ai-era of software that is loved by developers around the world.

In this course, I'll show you how to use Docker as a deployment tool, Python as a web app with FastAPI, and finally LangChain and LangGraph as your AI agent.

An AI Agent is essentially an LLM calling Python functions (also known as tools) to achieve some result that you can pre-determine. LangChain & LangGraph are designed to make this process far easier for developers of all backgrounds.

I'm excited to show you the course. Are you ready to jump in?

Cheers,

Justin