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 OverviewAmazon Bedrock - High-Level OverviewIntroduction to Amazon BedrockAccessing Foundation Models via BedrockClone 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 Access
What you'll learn
set up a virtual machine
configure a custom domain
deploy an AI chatbot
use tools like Python, Streamlit, and AWS EC2
troubleshoot SSL and HTTPS for your chatbot
Course objectives
guide students through the technical setup and deployment of an AI chatbot
help students become familiar with cloud services and reverse proxy configuration