Create and deploy your own AI chatbot using Python, AWS Bedrock, Streamlit, and custom domain setup
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!
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!.
Course Content
- Introduction –> 2 lectures • 5min.
- Setting Up VM and Custom Domain for Your Chatbot –> 5 lectures • 13min.
- VM Access and Python Environment Setup –> 2 lectures • 4min.
- High-Level Overview of Chatbot Scripts –> 3 lectures • 10min.
- Amazon Bedrock – High-Level Overview –> 2 lectures • 8min.
- Clone Repo and Install Required Packages –> 2 lectures • 5min.
- Set Up NGINX as Reverse Proxy –> 1 lecture • 2min.
- Enable HTTPS and Troubleshoot SSL for Your Chatbot –> 4 lectures • 11min.
- Final Fixes and Launching Your Chatbot –> 6 lectures • 14min.
Requirements
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 Chatbot
Introduction
- Introduction
- Live Chatbot Walkthrough
Setting Up VM and Custom Domain for Your Chatbot
- Chatbot Deployment Walkthrough
- Launch an Ubuntu EC2 Instance
- Attach Elastic IP to Your Virtual Machine
- Purchase a Domain ( e.g., from GoDaddy)
- Point Domain to EC2 IP
VM Access and Python Environment Setup
- Access VM and Install Python Packages
- Create and Activate Virtual Environment
High-Level Overview of Chatbot Scripts
- Chatbot Script Overview
- Backend Script: High-Level Overview
- Frontend Script: High-Level Overview
Amazon Bedrock – High-Level Overview
- Introduction to Amazon Bedrock
- Accessing Foundation Models via Bedrock
Clone Repo and Install Required Packages
- Clone Chatbot Repo to VM
- Set Up Python Libraries: Streamlit, Boto3, OpenAI
Set Up NGINX as Reverse Proxy
- Set Up the Nginx Configuration File
Enable HTTPS and Troubleshoot SSL for Your Chatbot
- Enable HTTPS with Certbot
- Fix SSL Issues
Troubleshoot Chatbot Access
- Resolve Chatbot Access Problems
- Nginx Fix for Chatbot Access
Final Fixes and Launching Your Chatbot
- Fixing ModuleNotFoundError in Python
- Resolving No module named langchain Error
- Configuring AWS CLI for Chatbot Integration
- Installing Missing ‘transformers’ Python Package
- Chatbot AI is Now Up and Running!
- Final Message – Congratulations on Building Your Chatbot!