Building Production APIs with Node.js and Express
Build a real REST API end-to-end — auth, validation, database, deployment. We ship to a real VPS, not localhost. End the course with an API that handles thousands of requests.
About this course
Tutorials show you a 5-line Express server. Production needs 50× more. We build a working SaaS API together: routing, validation (Zod), Postgres via Prisma, JWT auth with refresh tokens, rate limiting, structured logging, and proper error handling. We deploy to a $5/month VPS with PM2 and nginx — the same stack Tahout itself runs on.
What you'll cover
- 1
Project setup, TypeScript, and the folder structure
tsconfig, package.json, the structure that scales beyond 10 files.
- 2
Express, routing, and middleware
REST routing. Custom middleware. The order that catches mistakes.
- 3
Prisma + Postgres
Schema, migrations, queries. Why Prisma beats raw SQL for 80% of work.
- 4
Auth with JWT and refresh tokens
Sign-up, sign-in, refresh, sign-out. The mistakes that get you breached.
- 5
Validation, errors, and edge cases
Zod schemas. Consistent error responses. The 5 errors users actually see.
- 6
Rate limiting, logging, monitoring
Express-rate-limit. Pino logger. Lightweight uptime monitoring.
- 7
Deploy to a real VPS
Hostinger / DigitalOcean. PM2, nginx, Let's Encrypt. Your API live on the open internet.
Who it's for
Front-end developers crossing into backend, full-stack engineers leveling up, and indie founders building their MVP.
Prerequisites
Solid JavaScript fundamentals. You've called an API before. Comfortable with terminal basics.
Skills you'll build
- Node.js
- Express
- TypeScript
- Prisma
- JWT
- REST API
- PM2
- nginx
Who we're looking for
Open call · Apply to teachRequired skills
- Node.js
- Express
- TypeScript
- Prisma
- JWT
- REST API
- PM2
- nginx
Experience
3+ years professional experience
Languages
English or Arabic (both a plus)
Time commitment
8 sessions × 90 min over 6 weeks
Compensation
80% of seat revenue (Tahout takes 20%)
If your CV matches, apply to teach. We use AI to rank applicants by fit, then admin reviews and approves the right instructor(s).
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