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Cloud & Deployment

The orientation course before you specialize: 25 lessons on how code becomes a live, production website -- deployment fundamentals, domains and DNS, HTTPS, hosting categories, environment variables and secrets, cloud service models, serverless and CDN, production databases, scaling, monitoring, security, and disaster recovery -- with a deployment decision guide, a troubleshooting flow, and a production checklist, closing with real architecture design projects. Points to this site's dedicated Docker, Terraform, AWS, Kubernetes, Networking, and CI/CD tutorials for hands-on depth rather than repeating them.

25 Lessons · 720 min · Learning Platform Editorial Team

What you need on the desk

  • A web browser -- most of this course is conceptual
  • Optionally a code editor and terminal for the hands-on project lessons
  • No cloud account is strictly required to follow the concepts, though having one helps for the projects

Know this much before you start

  • Basic computer and web literacy -- what a website, a file, and a browser are. Full beginner sections assume no DevOps or infrastructure background.
  • Helpful but not required: HTML/CSS/JavaScript, Git basics, and a terminal -- this course explains what it means when it uses them, but doesn't teach them from scratch (this site's own Git and Bash tutorials cover those).
  • This course is deliberately the CONCEPTUAL layer, not the hands-on execution layer -- for real practice with any one piece, it points to this site's dedicated Docker, Terraform, AWS, Kubernetes, Networking, and CI/CD tutorials rather than re-teaching their mechanics.

By the end, you can

  • Explain the full path a request takes from typing a domain to a rendered page -- DNS, HTTPS, server/CDN, response
  • Choose confidently between static hosting, a managed platform, a VPS, serverless, and containers for a given project
  • Configure environment variables and secrets safely, and explain why they must never reach frontend code
  • Design a production architecture diagram for a real SaaS-shaped app, naming what each component does
  • Use a systematic troubleshooting method (domain -> HTTPS -> server -> application) to diagnose a broken deployment
  • Explain what production readiness actually requires beyond a successful deploy: monitoring, backups, rollback, security
  • Identify the specific review a vibe-coded or AI-generated app needs before it's safe in front of real users
Cloud & Deployment | Thuta Learning