Playwright with TypeScript Training in Pune with Placement

The grounding every automation engineer is assumed to have and is quietly judged on in interviews. Core testing concepts, SDLC and STLC as processes rather than acronyms, and test planning as a deliverable.

Then the daily craft: writing test scenarios and test cases someone else can execute, defect management, and the distinction between functional, regression, smoke and sanity testing — including when each runs in a release cycle. Agile, Scrum and Jira close the module, because that is the process every Pune QA role operates inside.

JavaScript scoped to what test automation needs, taught from the beginning. Variables and data types, operators, conditionals and loops, then arrays and objects — the structures test data lives in.

Functions and arrow functions, classes and modules follow, since page objects are classes and every framework is a set of modules. The module ends where automation actually lives: promises, `async`/`await` and error handling. Every Playwright call is asynchronous, so this is not background material — it is the syntax you will write on every line.

The type layer that makes a growing test suite maintainable. TypeScript setup and compilation, the basic types, arrays and tuples, then interfaces and type aliases — the tools you use to describe a test-data shape or an API response once and have every misuse flagged.

Functions with typed parameters and returns, classes with access modifiers for page objects, and generics for reusable helpers. The module closes on `tsconfig.json` and module resolution, because a misconfigured compiler is the most common reason a beginner's Playwright project will not run.

The core tool. Playwright's architecture and why a single WebSocket connection to a browser behaves differently from the WebDriver request cycle, project setup with the `@playwright/test` runner, and running the same suite across Chromium, Firefox and WebKit.

Pages and browser contexts are the concept to internalise: a context is an isolated profile, so tests get clean state without paying for a browser launch. Then locators — CSS, XPath, text and, preferably, role-based locators that match how a user and a screen reader find an element. Web-first assertions and auto-waiting close the module, and with them the habit of never writing a fixed sleep again.

Everything a real application throws at a test. Forms, dropdowns, checkboxes and radio buttons; alerts and dialogs; frames and nested frames; multiple tabs and popups, including the pattern for capturing a window a click opens.

File uploads and downloads, mouse actions including drag and drop and hover, keyboard actions and shortcuts, and web tables with dynamic row content. The module is deliberately built around awkward pages rather than clean demo sites, because the interview question is always about the awkward one.

The runner as a framework rather than a script executor. Test structure and assertions, hooks for setup and teardown, then fixtures — Playwright's dependency-injection model — and custom fixtures, which are how you give every test an authenticated page or a seeded API client without repeating code.

Tags and test groups for selective runs, configuration through `playwright.config.ts` including projects for browser and environment matrices, parameterised testing, parallel execution with workers, retries, and test isolation. The module ends on the trade-off between speed and independence that every suite eventually has to settle.

Structuring a suite so that a UI change costs one edit rather than fifty. Page object design with typed locators as class members and methods that express user intent, base pages for shared behaviour, and component objects for widgets that appear on many pages — a header, a data grid, a date picker.

Utility classes, test-data separation and environment configuration complete the architecture. Folder structure is treated as a design decision with consequences, since a framework a new joiner cannot navigate is a framework that gets rewritten within a year.

The capability that makes Playwright a single-tool framework. REST fundamentals — resources, verbs, status codes — then Playwright's request context for issuing GET, POST, PUT, PATCH and DELETE calls without a browser at all.

Headers, authentication and request payloads, then response validation and API assertions. The module's real payoff is combining the two layers: seeding state through an API call and asserting through the UI, or logging in via API to skip a slow login form in every test. That pattern alone often halves a suite's runtime.

The features that put Playwright ahead of older tools. Screenshot testing and visual comparison with baselines and tolerance thresholds, plus the discipline that stops visual tests becoming a permanent source of noise.

Network interception, request mocking and response mocking let you test error states, slow responses and edge cases that are impossible to trigger against a real backend. Authentication state and session reuse cut login cost across a whole suite. The module ends on debugging: the Trace Viewer, the Playwright Inspector, and reading a recorded trace from a CI failure instead of guessing at it.

Turning a run into something other people can act on. The built-in HTML reporter with its embedded traces, then Allure for the richer, historical view most Pune teams standardise on — suites, steps, attachments and trend over time.

Screenshots, videos and trace files attached on failure make a red build diagnosable without a local reproduction. The module ends on failure analysis as a practice: distinguishing a genuine defect from a flaky test from an environment problem, which is the judgement a QA engineer is actually paid for.

Getting the suite running without you. Git and GitHub for automation projects — branching, pull requests and code review applied to test code, which is code and deserves the same treatment.

GitHub Actions is the primary CI target: workflow structure, the Playwright container image, browser caching, and running on push and pull request. Jenkins integration is covered for teams standardised on it. The module ends on parallel execution in CI with sharding across runners, and publishing reports as build artefacts so a failure is one click away.