Playwright Training in Hyderabad

1. Why software testing matters and how automation fits in
2. Manual testing vs automation testing — strengths and trade-offs
3. What Playwright is and why Microsoft built it
4. How Playwright compares with Selenium and Cypress
5. Browsers and programming languages Playwright supports
6. Real-world scenarios where teams rely on Playwright
7. Setting clear learning goals for the course ahead

1. How Playwright talks to browsers under the hood
2. Installing Node.js and setting up Playwright on your machine
3. Creating your first Playwright project from scratch
4. Understanding the playwright.config file and key settings
5. Browser contexts, pages, and why isolation matters
6. Running your very first automated test script
7. Recommended VS Code extensions for a smoother workflow

1. How Playwright locates elements on a live page
2. CSS selectors vs XPath vs Playwright’s built-in locators
3. Using get_by_role, get_by_text, and get_by_label the right way
4. Handling elements that load dynamically or sit inside nested containers
5. Chaining and filtering locators for precision
6. Writing locators that don’t break with small UI changes
7. Practical tips for debugging a locator that won’t match

1. Clicking, typing, hovering, and other core interactions
2. Working with dropdowns, checkboxes, and radio buttons
3. Automating file uploads and downloads
4. Simulating keyboard shortcuts and mouse gestures
5. Managing multiple browser tabs and windows in one test
6. Handling iframes, pop-ups, and embedded widgets
7. Making your automated actions behave like a real user

1. Getting started with the built-in Playwright Test Runner
2. Writing your first test using expect()
3. Common assertion types: visibility, text, count, and more
4. Soft assertions vs hard assertions — when to use which
5. Organising tests with describe blocks
6. Using beforeEach, afterEach, beforeAll, and afterAll hooks
7. Running, filtering, and tagging tests from the command line

1. Why framework design decides how maintainable your suite is
2. Core idea behind the Page Object Model
3. Structuring page classes and reusable methods
4. Keeping test logic and page logic cleanly separated
5. Building shared components and base page classes
6. Scaling POM across large, multi-page applications
7. Best practices that keep frameworks easy to maintain

1. How Playwright’s auto-waiting reduces flaky tests
2. Implicit waits vs explicit waits — what’s the difference
3. Diagnosing tests that fail intermittently due to timing
4. Setting global and test-level timeouts correctly
5. Waiting for network calls and page navigations to finish
6. Writing custom wait conditions for tricky scenarios
7. Step-by-step approach to debugging synchronization issues

1. API testing fundamentals for automation engineers
2. Using Playwright’s request context to call APIs directly
3. Sending GET, POST, PUT, and DELETE requests
4. Validating response bodies, headers, and status codes
5. Combining API checks with UI tests in a single suite
6. Mocking and intercepting network calls during a test
7. Managing authentication tokens across API test runs

1. What visual regression testing solves that functional tests can’t
2. Capturing full-page and element-level screenshots
3. Comparing screenshots against an approved baseline
4. Handling dynamic content that shouldn’t trigger a false failure
5. Configuring diff thresholds and tolerance levels
6. Adding visual checks into your existing test suite
7. Common mistakes that make visual tests unreliable

1. Running the same suite across Chromium, Firefox, and WebKit
2. Configuring multiple browser projects in one config file
3. Emulating mobile devices and different screen sizes
4. Verifying responsive layouts across breakpoints
5. Handling browser-specific quirks and rendering differences
6. Testing geolocation, permissions, and locale settings
7. Running cross-browser suites without slowing down your pipeline

1. Understanding what fixtures do in Playwright
2. Creating custom fixtures for repeatable test setup
3. Managing test data using JSON, CSV, and env files
4. Writing data-driven tests that scale across scenarios
5. Keeping test data isolated between individual test runs
6. Cleaning up data automatically after execution
7. Handling configuration differences across environments

1. Why parallel execution matters as your suite grows
2. Configuring workers to run tests simultaneously
3. Understanding test sharding across multiple machines
4. Avoiding hidden dependencies between tests
5. Handling shared resources safely during parallel runs
6. Practical ways to cut down overall suite execution time
7. Reading and interpreting parallel run reports

1. Continuous integration basics for automated testing
2. Setting up a GitHub Actions workflow to run Playwright tests
3. Configuring a Jenkins pipeline for automated execution
4. Triggering test runs on commits and pull requests
5. Managing secrets and environment variables securely in CI
6. Publishing and sharing test reports straight from the pipeline
7. Handling failures and automatic retries in CI/CD

1. Why containers make test automation more portable
2. Using Playwright’s official Docker images
3. Writing a Dockerfile tailored to your test project
4. Running your suite inside a container locally
5. Managing browser dependencies without version conflicts
6. Connecting Docker-based tests into your CI/CD pipeline
7. Scaling test execution using containerised infrastructure

1. Why good reporting matters for a QA team
2. Generating and reading Allure reports
3. Attaching screenshots, logs, and videos to failed tests
4. Getting the most out of Playwright’s built-in HTML reporter
5. Using Trace Viewer to step through a failure visually
6. Reading execution timelines and network activity logs
7. Sharing clear, actionable reports with your team

1. Planning a real-world automation framework from the ground up
2. Building a complete end-to-end suite for a live application
3. Bringing UI, API, and visual tests together in one project
4. Applying coding standards that keep the framework clean
5. Taking part in peer code reviews and framework refinements
6. Presenting your capstone project with confidence
7. Packaging your work into an interview-ready portfolio