Build and Deploy an End to End AI Agent Chatbot with Docker, LangGraph, FastAPI, and Streamlit UI

In this one-shot video, I demonstrate how to build and deploy an end-to-end AI Agent Chatbot using Docker, LangGraph, FastAPI, and Streamlit UI. From Docker basics to key concepts like images, containers, and port binding, I walk through the GenAI app demo, code explanations, and deployment steps, including pushing to Docker Hub and running locally. Perfect for anyone exploring AI app deployment with Docker! Source Code: https://github.com/balupeddireddy08/Build-and-Deploy-an-End-to-End-AI-Agent-Chatbot-with-Docker GenAI Projects Playlist: https://www.youtube.com/playlist?list=PLYDAwdMo1C0AcFTgcCDBAD3-15g_kJUX_ Building AI Agent Chatbots Playlist: https://www.youtube.com/playlist?list=PLYDAwdMo1C0AJLaWwGCeSdddThnh8uk8_ GenAI Concepts Playlist: https://www.youtube.com/playlist?list=PLYDAwdMo1C0D4OBFaeMzQXloPQQOY7bOI Chapters: 00:00 Introduction 00:40 Content of the Video 01:57 Analogy 05:13 Features of Docker 07:34 Difference between Docker Container & Virtual Machine 10:32 What is Docker Image & Docker Container? 12:00 Workflow of any APP with Docker 14:00 Port Binding & Port Exposing 16:57 GenAI App Demo 19:50 GenAI App Workflow 21:34 Main App Code Explanation 26:55 Front-End Code Explanation 30:25 Explanation of Dockerfile 37:23 Build the Docker Image 39:11 Run the Docker Container 42:00 Push a Docker Image to Docker Hub 45:40 Pull a Docker Image from Docker Hub 48:00 Deploy GenAI App in local host 48:31 Conclusion #AIChatbot #GenerativeAI #Docker #LangGraph #FastAPI #Streamlit #AIDevelopment #DockerTutorial #AIAppDeployment #EndToEndAI #TechTutorial #DockerForAI #ArtificialIntelligence #DevOps