Module 15 Wrap-up: The Sovereign Deployment

You have completed the technical journey. You've gone from a single prompt in a terminal to a Dockerized, production-ready REST API. You are now ready to share your AI with the world.

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Hands-on Exercise: The Cloud Push

1. The Goal

Research two hosting platforms: Railway and Render. Both of these platforms allow you to "Connect your GitHub" and deploy a Dockerized FastAPI app in 5 minutes.

2. The Implementation Plan

1. Push your code (EXCLUDING .env!) to a private GitHub repository.
2. Choose a hosting platform.
3. Add your OPENAI_API_KEY to the platform's "Environment Variables" section.
4. Wait for the build to finish.
5. Test: Open the URL provided by the platform and send a request to your /chat endpoint.

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Module 15 Summary

• Packaging: Organizing code and pinning library versions.
• Requirements: Capturing the exact environment with pip freeze.
• Docker: Encapsulating the OS to prevent "Missing Library" errors.
• Environment Logic: Passing secrets safely in production.
• Cloud Hosting: Using Platform-as-a-Service (PaaS) for rapid deployment.

Final Milestone...

You have completed all the modules! It is now time for the Capstone Project. You will build a comprehensive Agentic RAG System that integrates every single concept you have learned in this course.

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Module 15 Checklist

• I have generated a requirements.txt file.
• I can explain what a Dockerfile does.
• I have used .dockerignore to keep my image small.
• I understand how to pass API keys to a cloud platform without using the .env file.
• I can test my deployed API using a tool like Postman or curl.