Playwright Training in Chennai

Most JavaScript courses are built for developers. This one is built for testers. We cover what you need for Playwright — nothing more, nothing less. If you’ve never coded, this is where you start. If you’ve been coding for years, you’ll breeze through and pick up the TypeScript setup at the end.

• Why JavaScript — the connection between modern web apps and why Playwright uses it
• Variables, data types, conditionals and loops explained for testers, not developers
• Functions — declarations, arrow functions, the difference and when it matters
• Async/await — what it actually means and why every Playwright test file uses it
• ES6+ features that appear in real scripts: destructuring, spread, template literals, imports
• Introduction to TypeScript — types, interfaces, why your future team will prefer it
• Setting up a TypeScript Playwright project from a blank folder
• Hands-on: Write and run 10 functions that progressively increase in complexit

By the end of this module, you’ll have written and run real tests against real websites. No toy examples. We start with Playwright’s architecture because understanding how it talks to the browser explains why it’s more reliable than what you might have used before.

• How Playwright communicates with browsers — why this makes it faster and more stable than Selenium
• Installing Playwright via npm — step-by-step, nothing assumed
• The playwright.config.ts file — browsers, timeouts, base URL, retries, reporters. All of it.
• Anatomy of a test file — test(), expect(), describe(), beforeEach(). Reading one before you write one.
• Running tests across Chromium, Firefox and WebKit — one configuration, three browsers
• Headed vs headless mode — when to use each and why CI environments need headless
• Screenshots and video recording — setting them up for failure capture from day one
• Running tests from the command line and from the VS Code extension
• Hands-on: Automate three real-world user flows end to end on live websites

Bad locators are why most test suites become unmaintainable. Unnecessary waits are why most suites become slow and flaky. This module fixes both problems. We spend more time here than most courses do because it’s where the quality difference between a fragile test suite and a maintainable one actually lives.

• What a locator is and why Playwright’s locator model is architecturally different from Selenium’s FindElement
• CSS selectors — the patterns that actually hold up on dynamic, JavaScript-heavy pages
• XPath — when it’s the right choice and when it’s a maintenance problem waiting to happen
• Playwright’s built-in locators — by role, by text, by label, by placeholder, by test ID
• Generating and validating locators with Playwright Inspector — live, in the browser
• Auto-wait — what Playwright checks before every action and when you need to override it
• Explicit waits that work: waitForSelector, waitForURL, waitForResponse, waitForFunction
• Dynamic elements, multi-selects, date pickers, file uploads — handled one by one
• iframes and shadow DOM — the two places locators regularly break if you don’t know the approach
• Hands-on: Write and validate locators for five complex, real-world UI components

We show you a test suite without POM first. It works — for about two weeks. Then a developer changes a button label and twenty tests break. This module exists to make sure that never happens to your suite at work.

• Why test suites without a framework become unmaintainable — real before-and-after examples
• Core POM principles — what belongs in a page class and what doesn’t
• Building your first page class: constructor, locators, action methods, return types
• A base page class for shared logic across all your page objects
• Folder structure for a growing project — how to organise it so it stays readable at 50 test files
• Playwright fixtures for reusable setup, teardown and shared browser contexts
• Test data: environment variables, JSON files, .env configuration — each for different situations
• TypeScript interfaces to keep your page objects type-safe and your IDE helpful
• Hands-on: Build a complete POM framework for an e-commerce app from an empty folder

Most people don’t realise Playwright can test APIs until they’re halfway through a course. We put this module here deliberately — once you see how it works, you’ll change how you think about test strategy. UI and API testing in one framework, one language, one report.

• Why Playwright’s built-in API testing removes the need for a separate tool in most scenarios
• GET, POST, PUT, PATCH and DELETE requests using Playwright’s APIRequestContext
• Asserting on response body content, HTTP status codes, headers and response time
• Using API calls to set up test state — bypassing slow UI login flows before a test starts
• Intercepting network requests — mocking responses for specific scenarios
• Combining API and UI assertions in a single end-to-end test flow
• Hands-on: Build a combined API and UI test suite against a live REST API project

A test suite that takes 45 minutes to run isn’t a safety net — it’s a bottleneck. This module is about making your tests fast enough that running them on every pull request is a reasonable thing to ask for.

• Why slow test suites are a business problem, not just a technical annoyance
• Playwright’s parallel execution model — workers, isolation, browser context handling
• Configuring worker count for local development vs CI environments
• Sharding — splitting a large suite across multiple machines in the same pipeline
• Test tagging — smoke, regression, critical path. Running only what you need when you need it.
• Retry configuration — what to retry, what not to, and how to tell the difference between flakiness and a real bug
• Hands-on: Take a 10-minute sequential test run below 3 minutes using parallelism and sharding

This is the module that gets people hired. The ability to set up a CI/CD pipeline — not just “I know what CI/CD is” — is what separates QA engineers who stay in one role from those who grow into senior and lead positions. We build the whole pipeline from scratch. You don’t just watch.

• What CI/CD actually means for a QA engineer and why you need to understand it in 2025
• Connecting your Playwright project to a GitHub repository
• Writing a GitHub Actions workflow YAML file from an empty file — triggers, jobs, steps, matrix
• Running tests automatically on every pull request and every merge to main
• Publishing your HTML test report as a downloadable GitHub Actions artifact
• Jenkins setup — installation, the plugins you actually need, and the ones you don’t
• Writing a Jenkinsfile-based pipeline for Playwright — not from a template, from scratch
• Environment variables and secrets in CI — how to do it securely
• Hands-on: A fully working automated CI/CD Playwright pipeline. Tests run, pass or fail, report publishes — automatically on every push.

Writing tests is the easy part. Maintaining them — debugging failures, explaining them to your team, making sense of what broke and why — that’s where most automation engineers struggle. This module is specifically about that problem.

• Playwright’s built-in HTML reporter — configuration, what everything in it means, sharing it with your team
• Allure Reports integration — why teams ask for it and how to set it up properly
• Screenshot on failure — configuration and what to do with screenshots once you have them
• Video on retry — capturing the failure sequence so you can watch exactly what went wrong
• Trace Viewer in depth — opening a trace file, reading DOM snapshots, network tabs, console logs. Step by step. This is the one tool that changes how you debug forever.
• Debugging live with Playwright Inspector and the VS Code extension
• The most common Playwright failure patterns — and how to diagnose each one without guessing
• Hands-on: Diagnose and fix 5 intentionally broken test scenarios using only Trace Viewer. Same workflow you’ll use every week in a real role.

The capstone project is not easy. That’s intentional. You’re going to hit edge cases you haven’t seen before, need to make framework decisions without guidance, and produce code that gets reviewed by the trainer. If that sounds hard — it is. It’s also the thing that makes your GitHub portfolio look real to a technical interviewer, rather than like a tutorial exercise.

• Full end-to-end automation project covering registration, login, search, cart and checkout on a multi-page app
• Combined API and UI test layers in a single POM framework using TypeScript
• CI/CD pipeline wired in — tests trigger automatically on GitHub push, report publishes as artifact
• Allure dashboard configured and showing pass/fail history across runs
• Code review session with the trainer — specific feedback on your structure, naming and coverage decisions
• Top 35 Playwright interview questions answered live — with context about why interviewers ask each one, not just the textbook answer
• Resume review — how to present your Playwright experience and GitHub link to maximum effect
• GitHub profile setup — structuring your repo so the first thing a technical interviewer sees is impressive