Build Your Own Ai Chatbot Like Chatgpt - Complete Guide
 

What you'll learn
Build your own AI-powered chatbot like ChatGPT
Set up a virtual machine (VM) on AWS EC2
Connect your own domain name (like chatbotshikharcom)
Deploy the chatbot using Python and Streamlit
Use NGINX as a reverse proxy server
Enable HTTPS with SSL certificates
Work with Amazon Bedrock to use advanced AI models
Fix common errors and launch your chatbot successfully
No advanced experience needed - just follow along step-by-step!
Requirements
Basic knowledge of Python (variables, functions, and installing packages)
Familiarity with the command line/terminal (basic navigation and commands)
An AWS account (you'll be launching a virtual machine)
A laptop or desktop with internet access
Description
Ready to launch your own AI-powered chatbot just like ChatGPT? In this hands-on course, you'll learn how to set up a virtual machine, configure a custom domain, and deploy a fully functional AI chatbot using powerful tools like Python, Streamlit, AWS EC2, NGINX, and Amazon Bedrock. Whether you're a developer, a tech enthusiast, or an aspiring AI engineer - this course will guide you step-by-step, from setup to final launch. Let's bring your chatbot to life!Course Content - Build and Deploy Your Own AI ChatbotIntroductionIntroductionLive Chatbot WalkthroughSetting Up VM and Custom Domain for Your ChatbotChatbot Deployment WalkthroughLaunch an Ubuntu EC2 InstanceAttach Elastic IP to Your Virtual MachinePurchase a Domain ( e.g., from GoDaddy)Point Domain to EC2 IPVM Access and Python Environment SetupAccess VM and Install Python PackagesCreate and Activate Virtual EnvironmentHigh-Level Overview of Chatbot ScriptsChatbot Script OverviewBackend Script: High-Level OverviewFrontend Script: High-Level OverviewClone Repo and Install Required PackagesClone Chatbot Repo to VMSet Up Python Libraries: Streamlit, Boto3, OpenAISet Up NGINX as Reverse ProxySet Up the Nginx Configuration FileEnable HTTPS and Troubleshoot SSL for Your ChatbotEnable HTTPS with CertbotFix SSL IssuesTroubleshoot Chatbot AccessResolve Chatbot Access ProblemsNginx Fix for Chatbot AccessFinal Fixes and Launching Your ChatbotFixing ModuleNotFoundError in PythonResolving No module named langchain ErrorConfiguring AWS CLI for Chatbot IntegrationInstalling Missing 'transformers' Python PackageChatbot AI is Now Up and Running!Final Message - Congratulations on Building Your Chatbot!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Live Chatbot Walkthrough
Section 2: Setting Up VM and Custom Domain for Your Chatbot
Lecture 3 Chatbot Deployment Walkthrough
Lecture 4 Launch an Ubuntu EC2 Instance
Lecture 5 Attach Elastic IP to Your Virtual Machine
Lecture 6 Purchase a Domain ( e.g., from GoDaddy)
Lecture 7 Point Domain to EC2 IP
Section 3: VM Access and Python Environment Setup
Lecture 8 Access VM and Install Python Packages
Lecture 9 Create and Activate Virtual Environment
Section 4: High-Level Overview of Chatbot Scripts
Lecture 10 Chatbot Script Overview
Lecture 11 Backend Script: High-Level Overview
Lecture 12 Frontend Script: High-Level Overview
Section 5: Clone Repo and Install Required Packages
Lecture 13 Clone Chatbot Repo to VM
Lecture 14 Set Up Python Libraries: Streamlit, Boto3, OpenAI
Section 6: Set Up NGINX as Reverse Proxy
Lecture 15 Set Up the Nginx Configuration File
Section 7: Enable HTTPS and Troubleshoot SSL for Your Chatbot
Lecture 16 Enable HTTPS with Certbot
Lecture 17 Fix SSL Issues
Lecture 18 Resolve Chatbot Access Problems
Lecture 19 Nginx Fix for Chatbot Access
Section 8: Final Fixes and Launching Your Chatbot
Lecture 20 Fixing ModuleNotFoundError in Python
Lecture 21 Resolving 'No module named langchain' Error
Lecture 22 Configuring AWS CLI for Chatbot Integration
Lecture 23 Installing Missing 'transformers' Python Package
Lecture 24 Chatbot AI is Now Up and Running!
Lecture 25 Final Message - Congratulations on Building Your Chatbot!
Beginners who want to build their first AI-powered chatbot,Python developers looking to explore real-world AI and deployment projects,Tech enthusiasts and hobbyists curious about AI, AWS, and automation,Students who want hands-on experience with chatbot development,Freelancers or educators looking to expand their project portfolio,Anyone interested in launching a chatbot like ChatGPT using their own domain