jnaapti

AI curriculum

Course outline for Modern Web Deployment

Deployment choices must fit application runtime and review needs. Compare static, serverless, and preview approaches and create a repeatable release plan with safe access boundaries.

Technology
AI-Native Web and Application Development
Duration
4 hours
Modules
2 · 2 hours each
Level
Prerequisites listed

About Modern Web Deployment

Deployment choices must fit application runtime and review needs. Compare static, serverless, and preview approaches and create a repeatable release plan with safe access boundaries.

Modern Web Deployment Course Objectives

  • Compare hosting approaches for a sample web application.
  • Define preview and release validation steps.
  • Assess tunnel exposure and cleanup requirements.

Pre-requisites

  • Basic Git and web application experience.
  • Familiarity with command-line build tools.

Lab Setup

  • Computer with Git, a browser, and local build tools.
  • Use local previews or supplied platform configurations; nonproduction hosting accounts are optional.
  • Do not expose confidential applications through tunnels or assume a paid hosting plan.

Detailed Course Outline

Proposed modules

Module 1: Hosting choices

  • Vercel
  • GitHub Pages
  • Cloudflare

Practical outcome: Match hosting capabilities to a sample application.

Module 2: Release workflows

  • Serverless deployment
  • Tunnelling
  • Preview environments

Practical outcome: Define a preview workflow and safe exposure rules.

Practical exercise

  • Build a deployment artifact and validate a simulated preview-to-release process.

How we train

Contact us for full course details, including duration, delivery options and lab requirements.

Ask about exercises, instructor feedback and the prior knowledge you need. Tool-specific courses marked provisional may become modules in a broader course.

Discuss your learning goals