QA Test Automation with AI for Students

Learn test automation the way real teams work—with step-by-step AI help, not boring videos you only watch.

CodEngine is for students who want job-ready QA automation skills. You build Playwright and Selenium projects in JavaScript, TypeScript, and Python. You use Next.js and Node.js when tests touch the full stack. You practice writing prompts and using AI in your coding workflow (sometimes called vibe coding)—with clear goals: good quality, tests you can trace, and tests that are easy to keep working.

HTML for QA and stable locatorsQA automation with AI mentorshipPlaywright with JavaScript and TypeScriptSelenium WebDriver with JavaScript and TypeScriptPlaywright and Selenium with PythonPrompt writing for test toolsCareful AI-assisted coding (vibe coding) for QANext.js for student apps and pages you testNode.js for test runners, APIs, and toolsMobile testing plansAppium automation on iOS and Android

Lessons

Track Materials

Labs start with HTML markup for stable locators, then JavaScript, Playwright, mobile QA, and the TypeScript stack you use beside your test runner.

Coming soon

Selenium

WebDriver basics, waits, thinking about grids, and when teams pick Selenium versus Playwright.

Coming soon

QA Automation (Python)

Python-focused test projects with Playwright or Selenium-style flows, test fixtures, and basic packaging.

Coming soon

Next.js Fullstack

App Router, how you choose rendering, and a production-style layout for apps you test end-to-end.

Coming soon

Node.js Backend

APIs, login flows, and service layers like the backends your integration tests rely on.

Coming soon

Prompt Engineering

How to design prompts, short review cycles, and light agents that help manual and automated QA—not replace them.

How It Works

Step 1

Learn

Understand ideas through short explanations, simple diagrams, and code you can run.

Step 2

Build

Write test suites and setup code with guided tasks based on real team work.

Step 3

Review

Improve your selectors, stability, and layout using AI feedback based on how QA works in the industry.

Core Curriculum

Practical tracks that follow how automation engineers move from basic syntax to shipping reliable tests.

  • HTML for QA and stable locators
  • QA automation with AI mentorship
  • Playwright with JavaScript and TypeScript
  • Selenium WebDriver with JavaScript and TypeScript
  • Playwright and Selenium with Python
  • Prompt writing for test tools
  • Careful AI-assisted coding (vibe coding) for QA
  • Next.js for student apps and pages you test
  • Node.js for test runners, APIs, and tools
  • Mobile testing plans
  • Appium automation on iOS and Android

AI Features

Guidance that supports your thinking—it does not replace it.

  • How deep and how fast you go fits your level
  • Code review focused on flaky tests, readability, and structure
  • Step-by-step debugging from error logs to the real cause
  • Focused exercises after each big topic
  • Help with capstone and portfolio projects

Student Feedback

What learners say

Join the next cohort

I finally saw how Playwright works as a whole and delivered stable end-to-end tests for our capstone project.

Arman, QA Engineer

The AI review helped me fix my Node.js test hooks and API checks before my technical interviews.

Mariam, Backend Learner

Mixing vibe coding with real prompts and real tests kept me from churning out brittle Selenium glue code.

David, Fullstack Developer

Learning Roadmap

From your first script to QA automation with AI

Phase 01

Automation Foundations

HTML semantics for locators, JavaScript and TypeScript for testers, Python for writing tests, core Selenium and Playwright patterns, waits, and debugging.

Phase 02

Full-Stack Context

Next.js and Node.js basics for test setup, local user interfaces, checking APIs, and project folders that work well in CI.

Phase 03

AI & Prompting in QA

Writing prompts for checks you can repeat, small automation helpers, workflows with a coding assistant, and always keeping a human in the review loop.