The 8-Week Plan

UAE Full-Stack Developer · the 2026 in-demand stack, in strict order

Reference doc · created 19 Jun 2026 · 3–4 hrs/day · Python + FastAPI · Postgres + RAG · React + Next.js · a bit of DevOps

Eight weeks. One project. Built in the exact order an interviewer will want to hear it. You already know the web (PHP, jQuery, a little React) — so this isn't learning to code, it's re-platforming what you know onto the stack UAE companies are hiring for.

One capstone, threaded through every week → “DocChat”.
A web app where a user uploads documents and asks questions about them in plain English (answered by AI over their docs — that's RAG). It touches every part of the stack, so by Week 8 you have a single, deployed, demoable project that is your interview story. Don't build five toy apps. Build this one, well.

The order & why

Backend first (your biggest gap and the role's core), then data, then the frontend (a refresh for you), then RAG — the rarest, most impressive skill in the stack — then just enough DevOps to put it online.

Wk 1Python

Python, fast — through PHP eyes

Goal: read and write idiomatic Python without thinking in PHP.

  • Syntax shift: indentation, no $, f-strings, truthiness
  • Lists, dicts, comprehensions; functions & *args/**kwargs
  • Type hints, virtualenv + pip, modules & imports
  • Classes & dataclasses (you'll need them for Pydantic next week)
Build: a small CLI script (e.g. a CSV/text processor) — proves you can write, not just read, Python.

Primary: From PHP to Python · Official tutorial → see Lesson 0001

Wk 2FastAPI

FastAPI — your first real API · Lesson 02 →

Goal: build & document a CRUD REST API from scratch.

  • Routes, path/query params, request/response models
  • Pydantic for validation (this is the FastAPI superpower)
  • async/await basics; status codes & error handling
  • Auto-docs (Swagger), project structure, dependency injection
Build: DocChat's API skeleton — in-memory CRUD for "documents" (no DB yet).

Primary ⭐: FastAPI official Learn

Interview hook: “REST API design, validation, why async.”

Wk 3Postgres

Postgres + SQL — make it persist · Lesson 03 →

Goal: wire the API to a real database with auth.

  • SQL fundamentals: tables, joins, indexes (you'll be quizzed on these)
  • SQLAlchemy 2.0 ORM + Alembic migrations
  • Connect FastAPI → Postgres; sessions & queries
  • JWT auth: register / login / protected routes
Build: DocChat persists users & documents in Postgres, with login.

Primary ⭐: SQLAlchemy 2.0 · Postgres tutorial

Interview hook: “SQL joins, indexing, ORM vs raw SQL, auth flow.”

Wk 4React

Modern React — refresh the right way · Lesson 04 →

Goal: replace your jQuery instincts with hooks + components.

  • Function components, JSX, props, the mental model shift from jQuery
  • Core hooks: useState, useEffect; lifting state
  • Fetching data from your FastAPI backend (fetch/axios)
  • Lists, forms, conditional rendering, component composition
Build: a plain-React UI that logs in and lists documents from your API.

Primary ⭐: react.dev

Interview hook: “State management, useEffect, components vs the old DOM way.”

Wk 5Next.js

Next.js App Router — the full-stack frontend · Lesson 05 →

Goal: a production-shaped frontend for DocChat.

  • App Router: file-based routing, layouts, server vs client components
  • Data fetching & server actions; loading/streaming
  • Connecting to your FastAPI backend; env vars
  • Tailwind for fast, decent-looking UI
Build: DocChat's real frontend — upload page, document list, chat box.

Primary ⭐: Next.js Learn (Dashboard)

Interview hook: “Server components, SSR vs CSR, when/why Next.”

Wk 6RAG ★

RAG — the feature that gets you hired differentiator · Lesson 06 →

Goal: answer questions over uploaded docs using AI.

  • The RAG loop: chunk → embed → store → retrieve → generate
  • pgvector: vectors in Postgres, cosine distance, indexes
  • Embeddings + an LLM call (Claude / OpenAI) for the answer
  • Wiring retrieval results into the prompt (context injection)
Build: upload a PDF → ask a question → get an answer grounded in it. DocChat is now real.

Primary ⭐: RAG on Postgres (2026) · pgvector

Interview hook: “Explain RAG end-to-end, why vector search, chunking trade-offs.” Most candidates can't. You will.

Wk 7DevOps

A bit of DevOps — put it online · Lesson 07 →

Goal: a public URL you can paste into an application.

  • Git/GitHub workflow & a clean README (recruiters read these)
  • Docker: containerise the FastAPI backend
  • Env vars & secrets; managed Postgres (Neon/Supabase)
  • Deploy: Next.js → Vercel, backend → a container host; basic CI
Build: DocChat is live on the internet with a shareable link.

Primary: Docker · Vercel

Interview hook: “How you deploy, env/secrets, CI basics.”

Wk 8Apply

Polish, prep & apply · Lesson 08 →

Goal: stop learning, start interviewing.

  • Polish the capstone: README with screenshots, architecture diagram
  • Write your "project story" — be able to talk through every layer in 3 min
  • Drill common full-stack interview Qs across the whole stack
  • Update LinkedIn/CV; start applying via referrals
Build: your application kit — repo, live demo, story, CV — and send the first applications.

Interview hook: the whole project is the answer to “tell me about something you built.”

Five rules that make 8 weeks enough

1. One project, not five. Depth beats breadth in interviews.
2. Build first, polish never-fully. A working ugly feature > a perfect plan.
3. 15 min/day of recall. Re-explain yesterday's concept from memory — this is what makes it stick (storage, not fluency).
4. Ship to GitHub daily. The commit history is itself evidence for recruiters.
5. Don't skip RAG. It's the rarest skill here — your edge.