Deploying AI Apps
Learn how to deploy your AI-powered applications to production — from environment setup to monitoring and scaling
Deployment Fundamentals
Understand what deployment means, learn the difference between environments, and choose the right hosting platform for your AI app.
Environment Variables and Secrets
Learn why environment variables matter for AI apps, how to manage API keys safely, and how to configure secrets across different platforms.
Deploying to Vercel and Firebase
Step-by-step guides for deploying your AI app to Vercel and Firebase Hosting, including custom domains and preview deployments.
CI/CD for AI Apps
Learn what CI/CD is, set up GitHub Actions for automated testing and deployment, and build a workflow that deploys your AI app on every push.
Monitoring and Logging
Learn why monitoring matters for AI apps, how to log API calls and responses, track errors, and monitor AI-specific metrics like token usage and costs.
Cost Management and Scaling
Understand AI API costs, implement caching strategies, rate limit users, and scale your AI app without breaking the bank.
Deployment Cheat Sheet
Your complete quick reference for deploying AI apps — platform comparison, command reference, CI/CD templates, and cost optimization tips.