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Explore Complete Guide to Build and Deploy an AI Agent with Docker Containers and Python with 91,260 views, 2,948 likes, and 53 comments. Experience the impact of this video content that has captured audience attention.

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: https://github.com/codingforentrepreneurs/build-deploy-ai-agent-python-docker - Python Gmail Inbox Code: https://github.com/codingforentrepreneurs/gmail-inbox-reader-python - Docker Desktop: https://www.docker.com/products/docker-desktop/ - Docker Hub: https://hub.docker.com/ - Docker Model Runner: https://docs.docker.com/ai/model-runner/ - Railway: https://kirr.co/wxfp4a - DigitalOcean Promo: https://do.co/cfe-youtube - FastAPI: https://fastapi.tiangolo.com/ - SQLModel: sqlmodel.tiangolo.com/ - LangGraph: https://www.langchain.com/langgraph - FastAPI Analytics Code: https://github.com/codingforentrepreneurs/analytics-api - FastAPI Analytics Course: https://www.youtube.com/watch?v=tiBeLLv5GJo&feature=youtu.be (in-depth SQLModel and Time Series) - Google Gmail App Password: https://myaccount.google.com/apppasswords 👉 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 ✅ Build a multi-agent system with LangGraph Supervisor ✅ Send emails through Gmail and Python's standard library ✅ Read email inbox with Gmail and Python ✅ Test production-level API calls from Docker, FastAPI, OpenAI, and LangGraph Chapters: 00:00:00 Welcome 00:02:47 Demo & Software Overview 00:06:23 Docker at a Glance 00:10:13 Install Docker 00:14:45 Docker Run 00:21:57 Build your First Docker Container 00:27:26 Publish on Docker Hub 00:33:05 Accessing Python Web Servers in Docker 00:37:08 Your First Docker Compose Service 00:45:26 Build Custom Image with Docker Compose 00:47:49 Configure Dockerfile to Render HTML 00:54:35 Copy Local Files to Docker Container 01:00:38 Moving the Dockerfile and Build Context 01:04:19 Volumes for Containers during Development 01:08:51 Hello World with Docker and FastAPI 01:23:31 Docker Compose Watch Mode 01:28:15 Docker Ignore File and Volumes 01:35:19 Injecting Passwords and Secrets at Runtime 01:46:16 Basics of Pushing Code to GitHub 01:56:10 The Process of Deploying with Containers 01:59:12 Deploy Docker & FastAPI to Railway 02:11:42 Deploy Docker & FastAPI to DigitalOcean App Platform 02:21:22 Compose with Postgres & Docker-Managed Volumes 02:30:29 Integrate Postgres with FastAPI and SQLModel 02:38:51 Your First Database Model 02:43:25 Nested API Route in FastAPI 02:46:31 Create Chat Message Route 02:54:03 Create & List Data with Curl 02:59:52 Deploy with Timestamp Field 03:11:59 Docker Model Runner 03:18:31 LangChain with Docker Model Runner 03:26:02 Structured Output with LangChain 03:29:59 LangChain with FastAPI and SQLModel 03:37:43 Deploy LangChain with DigitalOcean and OpenAI 03:42:07 Sending Email with Python and FastAPI 03:51:14 View Emails in Gmail Inbox with Python 03:58:29 Tools for Ai Agents with LangChain 04:05:31 Executing Tool Calls with LangChain 04:17:24 LangGraph Agent and Tool Calling 04:23:51 LangGraph Research Agent 04:26:52 Connecting Multiple Agents with LangGraph Supervisor 04:34:22 Runnable Config with LangChain Tools 04:39:15 LangGraph Supervisor as FastAPI Endpoint 04:44:26 Deploy LangGraph Supervisor 04:47:46 Thank you & Next Steps

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