Event-loop races, closures & memory leaks, generics & discriminated unions, ARIA snapshots, the Clock API, shadow DOM, multi-origin flows, sharding, component testing, and Playwright's official MCP server — verified against Playwright v1.62 and TypeScript 6.0/7.0 RC documentation. Weekday (1 hr/day) or Weekend (2 hrs/day) tracks, same enriched curriculum either way.





Concrete skills, not topic names — each one is something you can show an interviewer.
Boundary values, equivalence classes and edge cases — not just happy-path coverage.
Page Object Model, reusable helpers and a suite you can actually maintain.
Reproduction steps, severity and evidence — reports that get fixed, not ignored.
Structure tests so they survive the product changing under them.
Postman and REST Assured, including auth flows most courses skip.
Jenkins and GitHub Actions — tests that run on every commit automatically.
“Fourcup completely changed my career trajectory. I was stuck in manual testing for 3 years with no idea how to get into automation. The Playwright and TypeScript modules were far deeper than I expected — event-loop races and flaky-test root-cause analysis actually came up in my Zoho interview. Landed the role within 3 months of finishing.”
“I had tried two other institutes before Fourcup. They taught Selenium and stopped there. Fourcup went into Playwright's Trace Viewer, the Clock API, and shadow DOM handling — genuinely production-level content. By week 4 I had a working framework with CI/CD wired up. That project got me through the Freshworks technical round directly.”
“The TypeScript module alone was worth the course — generics, discriminated unions, module augmentation for custom fixtures. Most QA courses barely touch TypeScript beyond basic types. Cognizant specifically asked about how I structured my Page Object base classes with generics. Got the offer in my first attempt.”
Awarded once every module and project is complete — recognised by our hiring partners.
If none of these describe you, tell us — we will point you at a better fit rather than sell you this one.
Work on live, under-construction projects with the exposure of an actual work environment, alongside a freelancer.
Built with multiple industry experts, so students become genuinely fluent in the subject rather than exam-ready.
Mentors bring real industry experience and share their ups, downs and delivery skills, not just slides.
Open any module to see exactly what it covers. Nothing is hidden behind a "download the syllabus" form.
| Topic | What You'll Learn |
|---|---|
| 1. Node.js & VS Code Setup | Your daily coding environment, installed and configured from scratch. |
| 2. Variables, Data Types & Operators | The building blocks JavaScript uses to store and manipulate data. |
| 3. Conditionals & Loops | Writing decision logic and repeating actions — the backbone of any test script. |
| 4. Functions | Packaging reusable logic for clean, non-repetitive test code. |
| 5. Arrays & Objects | Working with lists and structured data, e.g. a list of test users. |
| 6. Asynchronous JS Deep-Dive: Event Loop & Race Conditions | The real reason async tests flake, not "the tool is broken." |
| 6.1) Microtasks vs macrotasks |
|
| 6.2) Promise.all / allSettled / race |
|
| 6.3) Unhandled promise rejections |
|
| 7. Closures & Memory in Long-Running Suites | A classic source of bugs that only show up after 200+ tests, not in a 5-test demo. |
| 7.1) Closures capturing stale data |
|
| 7.2) Memory leaks in Node test processes |
|
| 8. Working with Dates & Time Zones (Test Data Edge Cases) | One of the most common real-world sources of "works on my machine" test failures. |
| 8.1) UTC vs local time pitfalls |
|
| 8.2) Daylight Saving Time edge cases | Testing a booking or scheduling feature across a DST transition date on purpose. |
| 9. Regular Expressions for Dynamic Locators & Data Validation | Matching flexible, changing text without hardcoding brittle strings. |
| 9.1) Building resilient patterns | Matching partial/dynamic text (e.g. "Order #12345 confirmed") without over-fitting to one value. |
| 9.2) Common regex pitfalls | Catastrophic backtracking: a regex that works on 10 rows and hangs on 10,000. |
| 10. JSON Basics | Reading/writing the data format used everywhere in test data and API responses. |
| 11. Git & GitHub Basics | Version control fundamentals — commit, push, pull, branches. |
| Topic | What You'll Learn |
|---|---|
| 1. Why TypeScript for Testing | Why most modern Playwright frameworks are written in TypeScript, not plain JS. |
| 2. Project Setup (tsconfig.json) | Configuring strict mode correctly from day one, not bolting it on later. |
| 3. Type Annotations & Inference | Catching mistakes before you even run the test. |
| 4. Generics for Reusable Test Frameworks | The single most valuable TS skill for building a framework that scales past 50 tests. |
| 4.1) Generic Page Object base classes | Writing one BasePage<T> class that every page object extends, instead of copy-pasting boilerplate. |
| 4.2) Generic API response wrappers | Typing ApiResponse<T> once and reusing it for every endpoint's response shape. |
| 5. Utility Types for Test Data & Mocking | Built-in TypeScript types that remove huge amounts of manual typewriting. |
| 5.1) Partial, Pick & Omit |
|
| 5.2) Record & Mapped Types | Generating typed lookup tables for test data, e.g. environment configs per region. |
| 6. Type Guards, Narrowing & Discriminated Unions | How to handle real, messy API responses safely instead of unsafe casting. |
| 6.1) Discriminated unions for API state |
|
| 6.2) unknown vs any | Why parsing an untrusted API or test-data response as unknown, not any, prevents an entire class of runtime bugs. |
| 7. Interfaces & Type Aliases | Structuring test data cleanly as your framework grows. |
| 8. Enums & Union Types | Handling fixed sets of values cleanly, e.g. test environments. |
| 9. Classes & Objects | The foundation for building the Page Object Model. |
| 10. Extending Playwright's Type System | Adding your own custom fixtures with full autocomplete and type safety — how real frameworks are built. |
| 10.1) Module augmentation for custom fixtures | Extending Playwright's built-in test object so myPage or apiClient is fully typed everywhere. |
| 10.2) Declaration merging edge cases | What breaks when two fixture files try to augment the same type, and how to structure files to avoid it. |
| Topic | What You'll Learn |
|---|---|
| 1. Introduction to Playwright | What it is, why Microsoft built it, and why it's overtaken Selenium as the fastest-growing framework. |
| 2. Installation & Configuration | Setting up your first project with the official Playwright Test Runner. |
| 3. Your First Test Script | Writing and running a test across Chromium, Firefox, and WebKit. |
| 4. Locators Deep-Dive | Finding elements reliably with Playwright's built-in locators (getByRole, getByText, getByLabel). |
| 5. ARIA Snapshots & Accessibility-First Locators | A 2026 shift: asserting against the accessibility tree instead of brittle CSS selectors. |
| 5.1) Why this matters |
|
| 6. Auto-Waiting & Synchronization | Why Playwright rarely needs manual waits, and when it still does. |
| 7. Actions: Click, Type, Select, Upload | Automating every common user interaction. |
| 8. Assertions | Validating that your app behaves correctly. |
| 9. Codegen & UI Mode | Auto-generating scripts and debugging interactively in real time. |
| 9.1) UI Mode | Running npx playwright test --ui to step through a test live, inspect the DOM at each action, and re-run a single step instantly. |
| 10. Playwright Test Agents (Planner / Generator / Healer) | Playwright's own official AI-assisted authoring workflow (v1.56+) — generates and repairs tests from a plan. |
| 10.1) How it fits a real workflow |
|
| Topic | What You'll Learn |
|---|---|
| 1. Page Object Model (POM) | The industry-standard way to structure reusable, maintainable test code. |
| 2. Test Hooks & Fixtures | Automatic setup/cleanup logic before and after tests. |
| 3. Flaky Test Root-Cause Analysis | The skill that separates a junior automation tester from a senior one — most 'flaky' tests aren't Playwright's fault. |
| 3.1) Animation-timing races vs network races |
|
| 3.2) Using Trace Viewer's network panel | Pinpointing the exact slow request that caused a 1-in-20 failure, with timestamps. |
| 4. Handling Shadow DOM & Web Components | Playwright auto-pierces shadow DOM, but real design systems (e.g. Salesforce Lightning) still trip people up. |
| 4.1) Where it still needs help |
|
| 5. iFrames, Pop-ups & New Tabs | Automating trickier real-world UI scenarios. |
| 6. Multi-Tab, Multi-Context & Multi-Origin Flows | Testing what actually happens in production apps: logins, payments, and SSO rarely stay on one domain. |
| 6.1) Real scenarios |
|
| 7. Data-Driven Testing | Running the same test with multiple data sets without duplicating code. |
| 8. Test Tagging, Grouping & Annotations | Organizing large suites to run only smoke or only regression tests on demand. |
| 9. Screenshots, Video & Trace Viewer | Capturing evidence on failure and debugging step-by-step. |
| 10. The Clock API | Testing Time-Dependent UI — Playwright's page.clock (1.45+): control time itself instead of waiting for it in real time. |
| 10.1) Mocking timers & countdowns deterministically |
|
| 10.2) Testing polling/scheduled features | Fast-forwarding through a dashboard's 10-second polling interval and asserting on each tick. |
| 11. Advanced Network Interception & Failure Simulation | Testing what happens when things go wrong, which is most of what happens in production. |
| 11.1) Simulating failures on purpose |
|
| 12. Parallel & Headless Execution | Running tests faster, and without a visible browser window for CI/CD. |
| 13. Test Isolation, Sharding & Parallelization Pitfalls | What breaks when a suite that worked at 20 tests hits 500. |
| 13.1) Shared state & data pollution | Diagnosing tests that pass alone but fail in parallel because they share a database record or login session. |
| 13.2) Sharding across CI runners | Splitting a large suite across multiple machines and merging the reports back into one. |
| 14. Component Testing (Playwright CT) | Testing a single React/Vue component in isolation, without spinning up the whole app. |
| 14.1) When to use it | Design-system and shared-component libraries where full E2E is overkill for a button or form field. |
| 15. API Testing with Playwright | Sending GET/POST/PUT/DELETE requests and validating responses inside your Playwright project. |
| 16. Postman Basics | Manually exploring and testing APIs before automating them. |
| 17. Auth & Session Reuse (storageState) | Reusing login sessions/tokens across tests — a major speed technique used at real companies. |
| 17.1) Doing it securely | Storing and reusing storageState without leaking real credentials into a shared CI cache. |
| Topic | What You'll Learn |
|---|---|
| 1. Visual Regression Testing | Automatically catching UI bugs functional tests miss (wrong colors, broken layouts). |
| 2. Dynamic Content Masking for Visual Diffs | The real-world visual-testing skill nobody's beginner tutorial covers. |
| 2.1) What has to be masked | Ads, timestamps, live counters, and rotating banners that would otherwise fail every single visual test. |
| 3. Cross-OS Font-Rendering Differences | Why a visual test can pass on your Mac and fail in a Linux CI container. |
| 3.1) Handling it | Tuning diff thresholds and using Docker-based rendering to match CI exactly. |
| 4. Mobile Device Emulation | Testing how a site behaves on simulated phones/tablets, no physical device needed. |
| 5. Cross-Browser/Device Strategy | Getting good coverage without 10x-ing your test run time. |
| 6. Environment Variables & Config | Running the same tests safely against dev, staging, and production. |
| Topic | What You'll Learn |
|---|---|
| 1. Introduction to CI/CD | What Continuous Integration means and why every modern QA job expects it. |
| 2. GitHub Actions for Test Automation | Automatically running your suite on every code push. |
| 3. Sharding & Merging Reports Across Runners | How large real-world suites (500+ tests) stay fast in CI instead of taking an hour. |
| 3.1) Practical setup | Splitting a suite across parallel CI jobs and merging the HTML/trace reports into one artifact. |
| 4. Retry Strategies & Flaky-Test Quarantine | What real teams do instead of just re-running a red build and hoping. |
| 4.1) The pattern |
|
| 5. Docker Basics for Testing | Running tests in a consistent, isolated environment — a common enterprise requirement. |
| 6. HTML Test Reports | Generating shareable, professional reports with screenshots. |
| 7. Git Branching for QA Teams | Pull requests and code review as part of a real dev workflow. |
| Topic | What You'll Learn |
|---|---|
| 1. Where GenAI Fits in Testing | An honest 2026 map: AI-assisted generation, self-healing locators, visual AI, and where humans are still needed. |
| 2. AI-Assisted Script Generation | Using ChatGPT/Claude/GitHub Copilot to draft test cases and scripts faster, then reviewing them like a professional. |
| 3. Self-Healing Locators | How AI automatically fixes a broken element locator when the UI changes, cutting maintenance dramatically. |
| 4. AI Visual Testing (Applitools-style) | Using vision-based AI to catch pixel-level UI bugs automatically. |
| 5. Testing Non-Deterministic AI Outputs | The genuinely hard, real-world problem: how do you assert on an answer that's different every time? |
| 5.1) Practical techniques |
|
| 6. LLM API Integration into Test Code | Hands-on: calling an AI API from inside your own Playwright code for smarter, dynamic assertions. |
| 7. AI Test Data Generation | Generating realistic, safe synthetic test data at scale. |
| 8. Prompt-Injection Awareness for QA | A real security-adjacent edge case as more apps embed AI features. |
| 8.1) What testers should check | Whether user input can hijack an AI feature's instructions (e.g. a support chatbot) — a basic but essential check. |
| 9. Evaluating GenAI Testing Tools | A practical look at LambdaTest KaneAI, Testim, Katalon, Applitools — the landscape recruiters ask about. |
| Topic | What You'll Learn |
|---|---|
| 1. What Is Agentic AI | The difference between 'AI generates a script for you' and 'AI plans, acts, and adapts on its own.' |
| 2. Introduction to MCP (Model Context Protocol) | The open standard (from Anthropic, now adopted industry-wide) letting AI safely control tools like a browser. |
| 3. Playwright's Official MCP Server | Playwright now ships an official MCP server that drives a real browser via accessibility snapshots, not screenshots — a genuine 2026 shift. |
| 3.1) Why accessibility snapshots matter | More reliable and far cheaper than vision-model screenshot parsing for an agent to act on. |
| 4. Playwright MCP Server | Hands-On — Connecting an AI agent to Playwright so it can browse and test using natural-language instructions. |
| 5. AI Agents for Exploratory Testing & Bug Triage | Using an AI agent to explore an unfamiliar app and surface potential issues. |
| 6. Human-in-the-Loop & Safety Guardrails | Why every responsible setup keeps human approval and token/tool-call limits. |
| 6.1) Practical limits | Setting a maximum tool-call budget so an agent can't loop indefinitely against a real environment. |
| Topic | What You'll Learn |
|---|---|
| 1. Project Kickoff | Selecting a real demo application to fully test. |
| 2. Building a Complete Framework | Combining POM design, data-driven tests, and API+UI hybrid tests and CI/CD. |
| 3. Code Review & Best Practices | Mentor review of your framework against real industry standards. |
| 4. GitHub Portfolio Presentation | Polishing your project with a clear README, your #1 proof of skill for recruiters. |
| Topic | What You'll Learn |
|---|---|
| 1. Resume & LinkedIn Building | An ATS-friendly resume and optimized LinkedIn profile built around your capstone project. |
| 2. Common QA/SDET Interview Questions | Working through the most frequently asked manual, automation, and AI-testing questions, including flaky-test and edge-case scenarios. |
| 3. Coding & Logical Problem Rounds | Practicing the logic questions that trip up most QA candidates. |
| 4. Mock Interviews | Live mock interviews with mentor feedback. |
| 5. Job Search Strategy | Getting past ATS filters and finding fresher/switcher-friendly QA openings. |
| Topic | What You'll Learn |
|---|---|
| 1. Node.js & VS Code Setup | Your daily coding environment, installed and configured from scratch. |
| 2. Variables, Data Types & Operators | The building blocks JavaScript uses to store and manipulate data. |
| 3. Conditionals & Loops | Writing decision logic and repeating actions — the backbone of any test script. |
| 4. Functions | Packaging reusable logic for clean, non-repetitive test code. |
| 5. Arrays & Objects | Working with lists and structured data, e.g. a list of test users. |
| 6. Asynchronous JS Deep-Dive: Event Loop & Race Conditions | The real reason async tests flake, not "the tool is broken." |
| 6.1) Microtasks vs macrotasks |
|
| 6.2) Promise.all / allSettled / race |
|
| 6.3) Unhandled promise rejections |
|
| 7. Closures & Memory in Long-Running Suites | A classic source of bugs that only show up after 200+ tests, not in a 5-test demo. |
| 7.1) Closures capturing stale data |
|
| 7.2) Memory leaks in Node test processes |
|
| 8. Working with Dates & Time Zones (Test Data Edge Cases) | One of the most common real-world sources of "works on my machine" test failures. |
| 8.1) UTC vs local time pitfalls |
|
| 8.2) Daylight Saving Time edge cases | Testing a booking or scheduling feature across a DST transition date on purpose. |
| 9. Regular Expressions for Dynamic Locators & Data Validation | Matching flexible, changing text without hardcoding brittle strings. |
| 9.1) Building resilient patterns | Matching partial/dynamic text (e.g. "Order #12345 confirmed") without over-fitting to one value. |
| 9.2) Common regex pitfalls | Catastrophic backtracking: a regex that works on 10 rows and hangs on 10,000. |
| 10. JSON Basics | Reading/writing the data format used everywhere in test data and API responses. |
| 11. Git & GitHub Basics | Version control fundamentals — commit, push, pull, branches. |
| Topic | What You'll Learn |
|---|---|
| 1. Why TypeScript for Testing | Why most modern Playwright frameworks are written in TypeScript, not plain JS. |
| 2. Project Setup (tsconfig.json) | Configuring strict mode correctly from day one, not bolting it on later. |
| 3. Type Annotations & Inference | Catching mistakes before you even run the test. |
| 4. Generics for Reusable Test Frameworks | The single most valuable TS skill for building a framework that scales past 50 tests. |
| 4.1) Generic Page Object base classes | Writing one BasePage<T> class that every page object extends, instead of copy-pasting boilerplate. |
| 4.2) Generic API response wrappers | Typing ApiResponse<T> once and reusing it for every endpoint's response shape. |
| 5. Utility Types for Test Data & Mocking | Built-in TypeScript types that remove huge amounts of manual typewriting. |
| 5.1) Partial, Pick & Omit |
|
| 5.2) Record & Mapped Types | Generating typed lookup tables for test data, e.g. environment configs per region. |
| 6. Type Guards, Narrowing & Discriminated Unions | How to handle real, messy API responses safely instead of unsafe casting. |
| 6.1) Discriminated unions for API state |
|
| 6.2) unknown vs any | Why parsing an untrusted API or test-data response as unknown, not any, prevents an entire class of runtime bugs. |
| 7. Interfaces & Type Aliases | Structuring test data cleanly as your framework grows. |
| 8. Enums & Union Types | Handling fixed sets of values cleanly, e.g. test environments. |
| 9. Classes & Objects | The foundation for building the Page Object Model. |
| 10. Extending Playwright's Type System | Adding your own custom fixtures with full autocomplete and type safety — how real frameworks are built. |
| 10.1) Module augmentation for custom fixtures | Extending Playwright's built-in test object so myPage or apiClient is fully typed everywhere. |
| 10.2) Declaration merging edge cases | What breaks when two fixture files try to augment the same type, and how to structure files to avoid it. |
| Topic | What You'll Learn |
|---|---|
| 1. Introduction to Playwright | What it is, why Microsoft built it, and why it's overtaken Selenium as the fastest-growing framework. |
| 2. Installation & Configuration | Setting up your first project with the official Playwright Test Runner. |
| 3. Your First Test Script | Writing and running a test across Chromium, Firefox, and WebKit. |
| 4. Locators Deep-Dive | Finding elements reliably with Playwright's built-in locators (getByRole, getByText, getByLabel). |
| 5. ARIA Snapshots & Accessibility-First Locators | A 2026 shift: asserting against the accessibility tree instead of brittle CSS selectors. |
| 5.1) Why this matters |
|
| 6. Auto-Waiting & Synchronization | Why Playwright rarely needs manual waits, and when it still does. |
| 7. Actions: Click, Type, Select, Upload | Automating every common user interaction. |
| 8. Assertions | Validating that your app behaves correctly. |
| 9. Codegen & UI Mode | Auto-generating scripts and debugging interactively in real time. |
| 9.1) UI Mode | Running npx playwright test --ui to step through a test live, inspect the DOM at each action, and re-run a single step instantly. |
| 10. Playwright Test Agents (Planner / Generator / Healer) | Playwright's own official AI-assisted authoring workflow (v1.56+) — generates and repairs tests from a plan. |
| 10.1) How it fits a real workflow |
|
| Topic | What You'll Learn |
|---|---|
| 1. Page Object Model (POM) | The core reusable structure every real automation framework is built on. |
| 2. Hooks & Fixtures | Setup/cleanup logic that runs automatically around your tests. |
| 3. Flaky Test Root-Cause Analysis (Essentials) | Diagnosing the #1 real-world QA complaint — a test that fails intermittently for no obvious reason. |
| 3.1) Core technique | Distinguishing a timing race from a genuine bug using Trace Viewer before touching any code. |
| 4. Data-Driven Testing | Running one test against many data sets efficiently. |
| 5. Screenshots & Trace Viewer | Debugging failed tests with visual evidence. |
| 6. Advanced Network Interception (Essentials) | Simulating an API failure (500, timeout) to check the app handles it gracefully — a top interview question. |
| 7. Playwright API Request Context | Testing APIs directly, not just through the UI. |
| 8. Postman Basics | The industry-standard tool for manual API exploration. |
| Topic | What You'll Learn |
|---|---|
| 1. Project Kickoff | Selecting a real demo application to fully test. |
| 2. Building a Complete Framework | Combining POM design, data-driven tests, and API+UI hybrid tests and CI/CD. |
| 3. Code Review & Best Practices | Mentor review of your framework against real industry standards. |
| 4. GitHub Portfolio Presentation | Polishing your project with a clear README, your #1 proof of skill for recruiters. |
| Topic | What You'll Learn |
|---|---|
| 1. Resume & LinkedIn Building | An ATS-friendly resume and optimized LinkedIn profile built around your capstone project. |
| 2. Common QA/SDET Interview Questions | Working through the most frequently asked manual, automation, and AI-testing questions, including flaky-test and edge-case scenarios. |
| 3. Coding & Logical Problem Rounds | Practicing the logic questions that trip up most QA candidates. |
| 4. Mock Interviews | Live mock interviews with mentor feedback. |
| 5. Job Search Strategy | Getting past ATS filters and finding fresher/switcher-friendly QA openings. |
| Topic | What You'll Learn |
|---|---|
| 1. What is Software Testing & QA vs QC | Why testers exist even when developers test their own code. |
| 2. SDLC & STLC | How software gets built (Waterfall/Agile/V-Model) and the tester's own life cycle within it. |
| 3. Types of Testing | Functional, non-functional, smoke, sanity, regression, exploratory, usability, compatibility. |
| 4. Test Case Design Techniques | Equivalence partitioning, boundary value analysis, decision tables — structured ways to find real bugs. |
| 4.1) Real-world edge cases |
|
| 5. Writing & Executing Test Cases | Hands-on practice writing professional-format test cases on a live demo app. |
| 6. Defect Life Cycle & Bug Reporting | How a bug moves from found to fixed to verified, and how to write a report developers respect. |
| 7. Bug Tracking with JIRA | Logging, tracking, and managing defects the way real QA teams do. |
| 8. Agile Testing Basics | A tester's day in a Scrum team — sprints, standups, story points, definition of done. |
| Topic | What You'll Learn |
|---|---|
| 1. Node.js & VS Code Setup | Your daily coding environment, installed and configured from scratch. |
| 2. Variables, Data Types & Operators | The building blocks JavaScript uses to store and manipulate data. |
| 3. Conditionals & Loops | Writing decision logic and repeating actions — the backbone of any test script. |
| 4. Functions | Packaging reusable logic for clean, non-repetitive test code. |
| 5. Arrays & Objects | Working with lists and structured data, e.g. a list of test users. |
| 6. Asynchronous JS Deep-Dive: Event Loop & Race Conditions | The real reason async tests flake, not "the tool is broken." |
| 6.1) Microtasks vs macrotasks |
|
| 6.2) Promise.all / allSettled / race |
|
| 6.3) Unhandled promise rejections |
|
| 7. Closures & Memory in Long-Running Suites | A classic source of bugs that only show up after 200+ tests, not in a 5-test demo. |
| 7.1) Closures capturing stale data |
|
| 7.2) Memory leaks in Node test processes |
|
| 8. Working with Dates & Time Zones (Test Data Edge Cases) | One of the most common real-world sources of "works on my machine" test failures. |
| 8.1) UTC vs local time pitfalls |
|
| 8.2) Daylight Saving Time edge cases | Testing a booking or scheduling feature across a DST transition date on purpose. |
| 9. Regular Expressions for Dynamic Locators & Data Validation | Matching flexible, changing text without hardcoding brittle strings. |
| 9.1) Building resilient patterns | Matching partial/dynamic text (e.g. "Order #12345 confirmed") without over-fitting to one value. |
| 9.2) Common regex pitfalls | Catastrophic backtracking: a regex that works on 10 rows and hangs on 10,000. |
| 10. JSON Basics | Reading/writing the data format used everywhere in test data and API responses. |
| 11. Git & GitHub Basics | Version control fundamentals — commit, push, pull, branches. |
| Topic | What You'll Learn |
|---|---|
| 1. Why TypeScript for Testing | Why most modern Playwright frameworks are written in TypeScript, not plain JS. |
| 2. Project Setup (tsconfig.json) | Configuring strict mode correctly from day one, not bolting it on later. |
| 3. Type Annotations & Inference | Catching mistakes before you even run the test. |
| 4. Generics for Reusable Test Frameworks | The single most valuable TS skill for building a framework that scales past 50 tests. |
| 4.1) Generic Page Object base classes | Writing one BasePage<T> class that every page object extends, instead of copy-pasting boilerplate. |
| 4.2) Generic API response wrappers | Typing ApiResponse<T> once and reusing it for every endpoint's response shape. |
| 5. Utility Types for Test Data & Mocking | Built-in TypeScript types that remove huge amounts of manual typewriting. |
| 5.1) Partial, Pick & Omit |
|
| 5.2) Record & Mapped Types | Generating typed lookup tables for test data, e.g. environment configs per region. |
| 6. Type Guards, Narrowing & Discriminated Unions | How to handle real, messy API responses safely instead of unsafe casting. |
| 6.1) Discriminated unions for API state |
|
| 6.2) unknown vs any | Why parsing an untrusted API or test-data response as unknown, not any, prevents an entire class of runtime bugs. |
| 7. Interfaces & Type Aliases | Structuring test data cleanly as your framework grows. |
| 8. Enums & Union Types | Handling fixed sets of values cleanly, e.g. test environments. |
| 9. Classes & Objects | The foundation for building the Page Object Model. |
| 10. Extending Playwright's Type System | Adding your own custom fixtures with full autocomplete and type safety — how real frameworks are built. |
| 10.1) Module augmentation for custom fixtures | Extending Playwright's built-in test object so myPage or apiClient is fully typed everywhere. |
| 10.2) Declaration merging edge cases | What breaks when two fixture files try to augment the same type, and how to structure files to avoid it. |
| Topic | What You'll Learn |
|---|---|
| 1. Introduction to Playwright | What it is, why Microsoft built it, and why it's overtaken Selenium as the fastest-growing framework. |
| 2. Installation & Configuration | Setting up your first project with the official Playwright Test Runner. |
| 3. Your First Test Script | Writing and running a test across Chromium, Firefox, and WebKit. |
| 4. Locators Deep-Dive | Finding elements reliably with Playwright's built-in locators (getByRole, getByText, getByLabel). |
| 5. ARIA Snapshots & Accessibility-First Locators | A 2026 shift: asserting against the accessibility tree instead of brittle CSS selectors. |
| 5.1) Why this matters |
|
| 6. Auto-Waiting & Synchronization | Why Playwright rarely needs manual waits, and when it still does. |
| 7. Actions: Click, Type, Select, Upload | Automating every common user interaction. |
| 8. Assertions | Validating that your app behaves correctly. |
| 9. Codegen & UI Mode | Auto-generating scripts and debugging interactively in real time. |
| 9.1) UI Mode | Running npx playwright test --ui to step through a test live, inspect the DOM at each action, and re-run a single step instantly. |
| 10. Playwright Test Agents (Planner / Generator / Healer) | Playwright's own official AI-assisted authoring workflow (v1.56+) — generates and repairs tests from a plan. |
| 10.1) How it fits a real workflow |
|
| Topic | What You'll Learn |
|---|---|
| 1. Page Object Model (POM) | The industry-standard way to structure reusable, maintainable test code. |
| 2. Test Hooks & Fixtures | Automatic setup/cleanup logic before and after tests. |
| 3. Flaky Test Root-Cause Analysis | The skill that separates a junior automation tester from a senior one — most 'flaky' tests aren't Playwright's fault. |
| 3.1) Animation-timing races vs network races |
|
| 3.2) Using Trace Viewer's network panel | Pinpointing the exact slow request that caused a 1-in-20 failure, with timestamps. |
| 4. Handling Shadow DOM & Web Components | Playwright auto-pierces shadow DOM, but real design systems (e.g. Salesforce Lightning) still trip people up. |
| 4.1) Where it still needs help |
|
| 5. iFrames, Pop-ups & New Tabs | Automating trickier real-world UI scenarios. |
| 6. Multi-Tab, Multi-Context & Multi-Origin Flows | Testing what actually happens in production apps: logins, payments, and SSO rarely stay on one domain. |
| 6.1) Real scenarios |
|
| 7. Data-Driven Testing | Running the same test with multiple data sets without duplicating code. |
| 8. Test Tagging, Grouping & Annotations | Organizing large suites to run only smoke or only regression tests on demand. |
| 9. Screenshots, Video & Trace Viewer | Capturing evidence on failure and debugging step-by-step. |
| 10. The Clock API | Testing Time-Dependent UI — Playwright's page.clock (1.45+): control time itself instead of waiting for it in real time. |
| 10.1) Mocking timers & countdowns deterministically |
|
| 10.2) Testing polling/scheduled features | Fast-forwarding through a dashboard's 10-second polling interval and asserting on each tick. |
| 11. Advanced Network Interception & Failure Simulation | Testing what happens when things go wrong, which is most of what happens in production. |
| 11.1) Simulating failures on purpose |
|
| 12. Parallel & Headless Execution | Running tests faster, and without a visible browser window for CI/CD. |
| 13. Test Isolation, Sharding & Parallelization Pitfalls | What breaks when a suite that worked at 20 tests hits 500. |
| 13.1) Shared state & data pollution | Diagnosing tests that pass alone but fail in parallel because they share a database record or login session. |
| 13.2) Sharding across CI runners | Splitting a large suite across multiple machines and merging the reports back into one. |
| 14. Component Testing (Playwright CT) | Testing a single React/Vue component in isolation, without spinning up the whole app. |
| 14.1) When to use it | Design-system and shared-component libraries where full E2E is overkill for a button or form field. |
| 15. API Testing with Playwright | Sending GET/POST/PUT/DELETE requests and validating responses inside your Playwright project. |
| 16. Postman Basics | Manually exploring and testing APIs before automating them. |
| 17. Auth & Session Reuse (storageState) | Reusing login sessions/tokens across tests — a major speed technique used at real companies. |
| 17.1) Doing it securely | Storing and reusing storageState without leaking real credentials into a shared CI cache. |
| Topic | What You'll Learn |
|---|---|
| 1. Project Kickoff | Selecting a real demo application to fully test. |
| 2. Building a Complete Framework | Combining POM design, data-driven tests, and API+UI hybrid tests and CI/CD. |
| 3. Code Review & Best Practices | Mentor review of your framework against real industry standards. |
| 4. GitHub Portfolio Presentation | Polishing your project with a clear README, your #1 proof of skill for recruiters. |
| Topic | What You'll Learn |
|---|---|
| 1. Resume & LinkedIn Building | An ATS-friendly resume and optimized LinkedIn profile built around your capstone project. |
| 2. Common QA/SDET Interview Questions | Working through the most frequently asked manual, automation, and AI-testing questions, including flaky-test and edge-case scenarios. |
| 3. Coding & Logical Problem Rounds | Practicing the logic questions that trip up most QA candidates. |
| 4. Mock Interviews | Live mock interviews with mentor feedback. |
| 5. Job Search Strategy | Getting past ATS filters and finding fresher/switcher-friendly QA openings. |
| Topic | What You'll Learn |
|---|---|
| 1. What is Software Testing & QA vs QC | Why testers exist even when developers test their own code. |
| 2. SDLC & STLC | How software gets built (Waterfall/Agile/V-Model) and the tester's own life cycle within it. |
| 3. Types of Testing | Functional, non-functional, smoke, sanity, regression, exploratory, usability, compatibility. |
| 4. Test Case Design Techniques | Equivalence partitioning, boundary value analysis, decision tables — structured ways to find real bugs. |
| 4.1) Real-world edge cases |
|
| 5. Writing & Executing Test Cases | Hands-on practice writing professional-format test cases on a live demo app. |
| 6. Defect Life Cycle & Bug Reporting | How a bug moves from found to fixed to verified, and how to write a report developers respect. |
| 7. Bug Tracking with JIRA | Logging, tracking, and managing defects the way real QA teams do. |
| 8. Agile Testing Basics | A tester's day in a Scrum team — sprints, standups, story points, definition of done. |
| Topic | What You'll Learn |
|---|---|
| 1. Node.js & VS Code Setup | Your daily coding environment, installed and configured from scratch. |
| 2. Variables, Data Types & Operators | The building blocks JavaScript uses to store and manipulate data. |
| 3. Conditionals & Loops | Writing decision logic and repeating actions — the backbone of any test script. |
| 4. Functions | Packaging reusable logic for clean, non-repetitive test code. |
| 5. Arrays & Objects | Working with lists and structured data, e.g. a list of test users. |
| 6. Asynchronous JS Deep-Dive: Event Loop & Race Conditions | The real reason async tests flake, not "the tool is broken." |
| 6.1) Microtasks vs macrotasks |
|
| 6.2) Promise.all / allSettled / race |
|
| 6.3) Unhandled promise rejections |
|
| 7. Closures & Memory in Long-Running Suites | A classic source of bugs that only show up after 200+ tests, not in a 5-test demo. |
| 7.1) Closures capturing stale data |
|
| 7.2) Memory leaks in Node test processes |
|
| 8. Working with Dates & Time Zones (Test Data Edge Cases) | One of the most common real-world sources of "works on my machine" test failures. |
| 8.1) UTC vs local time pitfalls |
|
| 8.2) Daylight Saving Time edge cases | Testing a booking or scheduling feature across a DST transition date on purpose. |
| 9. Regular Expressions for Dynamic Locators & Data Validation | Matching flexible, changing text without hardcoding brittle strings. |
| 9.1) Building resilient patterns | Matching partial/dynamic text (e.g. "Order #12345 confirmed") without over-fitting to one value. |
| 9.2) Common regex pitfalls | Catastrophic backtracking: a regex that works on 10 rows and hangs on 10,000. |
| 10. JSON Basics | Reading/writing the data format used everywhere in test data and API responses. |
| 11. Git & GitHub Basics | Version control fundamentals — commit, push, pull, branches. |
| Topic | What You'll Learn |
|---|---|
| 1. Why TypeScript for Testing | Why most modern Playwright frameworks are written in TypeScript, not plain JS. |
| 2. Project Setup (tsconfig.json) | Configuring strict mode correctly from day one, not bolting it on later. |
| 3. Type Annotations & Inference | Catching mistakes before you even run the test. |
| 4. Generics for Reusable Test Frameworks | The single most valuable TS skill for building a framework that scales past 50 tests. |
| 4.1) Generic Page Object base classes | Writing one BasePage<T> class that every page object extends, instead of copy-pasting boilerplate. |
| 4.2) Generic API response wrappers | Typing ApiResponse<T> once and reusing it for every endpoint's response shape. |
| 5. Utility Types for Test Data & Mocking | Built-in TypeScript types that remove huge amounts of manual typewriting. |
| 5.1) Partial, Pick & Omit |
|
| 5.2) Record & Mapped Types | Generating typed lookup tables for test data, e.g. environment configs per region. |
| 6. Type Guards, Narrowing & Discriminated Unions | How to handle real, messy API responses safely instead of unsafe casting. |
| 6.1) Discriminated unions for API state |
|
| 6.2) unknown vs any | Why parsing an untrusted API or test-data response as unknown, not any, prevents an entire class of runtime bugs. |
| 7. Interfaces & Type Aliases | Structuring test data cleanly as your framework grows. |
| 8. Enums & Union Types | Handling fixed sets of values cleanly, e.g. test environments. |
| 9. Classes & Objects | The foundation for building the Page Object Model. |
| 10. Extending Playwright's Type System | Adding your own custom fixtures with full autocomplete and type safety — how real frameworks are built. |
| 10.1) Module augmentation for custom fixtures | Extending Playwright's built-in test object so myPage or apiClient is fully typed everywhere. |
| 10.2) Declaration merging edge cases | What breaks when two fixture files try to augment the same type, and how to structure files to avoid it. |
| Topic | What You'll Learn |
|---|---|
| 1. Introduction to Playwright | What it is, why Microsoft built it, and why it's overtaken Selenium as the fastest-growing framework. |
| 2. Installation & Configuration | Setting up your first project with the official Playwright Test Runner. |
| 3. Your First Test Script | Writing and running a test across Chromium, Firefox, and WebKit. |
| 4. Locators Deep-Dive | Finding elements reliably with Playwright's built-in locators (getByRole, getByText, getByLabel). |
| 5. ARIA Snapshots & Accessibility-First Locators | A 2026 shift: asserting against the accessibility tree instead of brittle CSS selectors. |
| 5.1) Why this matters |
|
| 6. Auto-Waiting & Synchronization | Why Playwright rarely needs manual waits, and when it still does. |
| 7. Actions: Click, Type, Select, Upload | Automating every common user interaction. |
| 8. Assertions | Validating that your app behaves correctly. |
| 9. Codegen & UI Mode | Auto-generating scripts and debugging interactively in real time. |
| 9.1) UI Mode | Running npx playwright test --ui to step through a test live, inspect the DOM at each action, and re-run a single step instantly. |
| 10. Playwright Test Agents (Planner / Generator / Healer) | Playwright's own official AI-assisted authoring workflow (v1.56+) — generates and repairs tests from a plan. |
| 10.1) How it fits a real workflow |
|
| Topic | What You'll Learn |
|---|---|
| 1. Page Object Model (POM) | The industry-standard way to structure reusable, maintainable test code. |
| 2. Test Hooks & Fixtures | Automatic setup/cleanup logic before and after tests. |
| 3. Flaky Test Root-Cause Analysis | The skill that separates a junior automation tester from a senior one — most 'flaky' tests aren't Playwright's fault. |
| 3.1) Animation-timing races vs network races |
|
| 3.2) Using Trace Viewer's network panel | Pinpointing the exact slow request that caused a 1-in-20 failure, with timestamps. |
| 4. Handling Shadow DOM & Web Components | Playwright auto-pierces shadow DOM, but real design systems (e.g. Salesforce Lightning) still trip people up. |
| 4.1) Where it still needs help |
|
| 5. iFrames, Pop-ups & New Tabs | Automating trickier real-world UI scenarios. |
| 6. Multi-Tab, Multi-Context & Multi-Origin Flows | Testing what actually happens in production apps: logins, payments, and SSO rarely stay on one domain. |
| 6.1) Real scenarios |
|
| 7. Data-Driven Testing | Running the same test with multiple data sets without duplicating code. |
| 8. Test Tagging, Grouping & Annotations | Organizing large suites to run only smoke or only regression tests on demand. |
| 9. Screenshots, Video & Trace Viewer | Capturing evidence on failure and debugging step-by-step. |
| 10. The Clock API | Testing Time-Dependent UI — Playwright's page.clock (1.45+): control time itself instead of waiting for it in real time. |
| 10.1) Mocking timers & countdowns deterministically |
|
| 10.2) Testing polling/scheduled features | Fast-forwarding through a dashboard's 10-second polling interval and asserting on each tick. |
| 11. Advanced Network Interception & Failure Simulation | Testing what happens when things go wrong, which is most of what happens in production. |
| 11.1) Simulating failures on purpose |
|
| 12. Parallel & Headless Execution | Running tests faster, and without a visible browser window for CI/CD. |
| 13. Test Isolation, Sharding & Parallelization Pitfalls | What breaks when a suite that worked at 20 tests hits 500. |
| 13.1) Shared state & data pollution | Diagnosing tests that pass alone but fail in parallel because they share a database record or login session. |
| 13.2) Sharding across CI runners | Splitting a large suite across multiple machines and merging the reports back into one. |
| 14. Component Testing (Playwright CT) | Testing a single React/Vue component in isolation, without spinning up the whole app. |
| 14.1) When to use it | Design-system and shared-component libraries where full E2E is overkill for a button or form field. |
| 15. API Testing with Playwright | Sending GET/POST/PUT/DELETE requests and validating responses inside your Playwright project. |
| 16. Postman Basics | Manually exploring and testing APIs before automating them. |
| 17. Auth & Session Reuse (storageState) | Reusing login sessions/tokens across tests — a major speed technique used at real companies. |
| 17.1) Doing it securely | Storing and reusing storageState without leaking real credentials into a shared CI cache. |
| Topic | What You'll Learn |
|---|---|
| 1. Visual Regression Testing | Automatically catching UI bugs functional tests miss (wrong colors, broken layouts). |
| 2. Dynamic Content Masking for Visual Diffs | The real-world visual-testing skill nobody's beginner tutorial covers. |
| 2.1) What has to be masked | Ads, timestamps, live counters, and rotating banners that would otherwise fail every single visual test. |
| 3. Cross-OS Font-Rendering Differences | Why a visual test can pass on your Mac and fail in a Linux CI container. |
| 3.1) Handling it | Tuning diff thresholds and using Docker-based rendering to match CI exactly. |
| 4. Mobile Device Emulation | Testing how a site behaves on simulated phones/tablets, no physical device needed. |
| 5. Cross-Browser/Device Strategy | Getting good coverage without 10x-ing your test run time. |
| 6. Environment Variables & Config | Running the same tests safely against dev, staging, and production. |
| Topic | What You'll Learn |
|---|---|
| 1. Introduction to CI/CD | What Continuous Integration means and why every modern QA job expects it. |
| 2. GitHub Actions for Test Automation | Automatically running your suite on every code push. |
| 3. Sharding & Merging Reports Across Runners | How large real-world suites (500+ tests) stay fast in CI instead of taking an hour. |
| 3.1) Practical setup | Splitting a suite across parallel CI jobs and merging the HTML/trace reports into one artifact. |
| 4. Retry Strategies & Flaky-Test Quarantine | What real teams do instead of just re-running a red build and hoping. |
| 4.1) The pattern |
|
| 5. Docker Basics for Testing | Running tests in a consistent, isolated environment — a common enterprise requirement. |
| 6. HTML Test Reports | Generating shareable, professional reports with screenshots. |
| 7. Git Branching for QA Teams | Pull requests and code review as part of a real dev workflow. |
| Topic | What You'll Learn |
|---|---|
| 1. Where GenAI Fits in Testing | An honest 2026 map: AI-assisted generation, self-healing locators, visual AI, and where humans are still needed. |
| 2. AI-Assisted Script Generation | Using ChatGPT/Claude/GitHub Copilot to draft test cases and scripts faster, then reviewing them like a professional. |
| 3. Self-Healing Locators | How AI automatically fixes a broken element locator when the UI changes, cutting maintenance dramatically. |
| 4. AI Visual Testing (Applitools-style) | Using vision-based AI to catch pixel-level UI bugs automatically. |
| 5. Testing Non-Deterministic AI Outputs | The genuinely hard, real-world problem: how do you assert on an answer that's different every time? |
| 5.1) Practical techniques |
|
| 6. LLM API Integration into Test Code | Hands-on: calling an AI API from inside your own Playwright code for smarter, dynamic assertions. |
| 7. AI Test Data Generation | Generating realistic, safe synthetic test data at scale. |
| 8. Prompt-Injection Awareness for QA | A real security-adjacent edge case as more apps embed AI features. |
| 8.1) What testers should check | Whether user input can hijack an AI feature's instructions (e.g. a support chatbot) — a basic but essential check. |
| 9. Evaluating GenAI Testing Tools | A practical look at LambdaTest KaneAI, Testim, Katalon, Applitools — the landscape recruiters ask about. |
| Topic | What You'll Learn |
|---|---|
| 1. What Is Agentic AI | The difference between 'AI generates a script for you' and 'AI plans, acts, and adapts on its own.' |
| 2. Introduction to MCP (Model Context Protocol) | The open standard (from Anthropic, now adopted industry-wide) letting AI safely control tools like a browser. |
| 3. Playwright's Official MCP Server | Playwright now ships an official MCP server that drives a real browser via accessibility snapshots, not screenshots — a genuine 2026 shift. |
| 3.1) Why accessibility snapshots matter | More reliable and far cheaper than vision-model screenshot parsing for an agent to act on. |
| 4. Playwright MCP Server | Hands-On — Connecting an AI agent to Playwright so it can browse and test using natural-language instructions. |
| 5. AI Agents for Exploratory Testing & Bug Triage | Using an AI agent to explore an unfamiliar app and surface potential issues. |
| 6. Human-in-the-Loop & Safety Guardrails | Why every responsible setup keeps human approval and token/tool-call limits. |
| 6.1) Practical limits | Setting a maximum tool-call budget so an agent can't loop indefinitely against a real environment. |
| Topic | What You'll Learn |
|---|---|
| 1. Project Kickoff | Selecting a real demo application to fully test. |
| 2. Building a Complete Framework | Combining POM design, data-driven tests, and API+UI hybrid tests and CI/CD. |
| 3. Code Review & Best Practices | Mentor review of your framework against real industry standards. |
| 4. GitHub Portfolio Presentation | Polishing your project with a clear README, your #1 proof of skill for recruiters. |
| Topic | What You'll Learn |
|---|---|
| 1. Resume & LinkedIn Building | An ATS-friendly resume and optimized LinkedIn profile built around your capstone project. |
| 2. Common QA/SDET Interview Questions | Working through the most frequently asked manual, automation, and AI-testing questions, including flaky-test and edge-case scenarios. |
| 3. Coding & Logical Problem Rounds | Practicing the logic questions that trip up most QA candidates. |
| 4. Mock Interviews | Live mock interviews with mentor feedback. |
| 5. Job Search Strategy | Getting past ATS filters and finding fresher/switcher-friendly QA openings. |
The curriculum for this package has not been added yet.
Online
11 Weeks Duration (Flexible)
1 Real Industry Projects
Certificate on Completion
Lifetime Access to Recordings
Job References to 50+ Companies
5 Mock Interview Rounds
Soft Skills & Communication
WhatsApp Batch Support
Brochure & Syllabus Download
“Fourcup completely changed my career trajectory. I was stuck in manual testing for 3 years with no idea how to get into automation. The Playwright and TypeScript modules were far deeper than I expected — event-loop races and flaky-test root-cause analysis actually came up in my Zoho interview. Landed the role within 3 months of finishing.”
“I had tried two other institutes before Fourcup. They taught Selenium and stopped there. Fourcup went into Playwright's Trace Viewer, the Clock API, and shadow DOM handling — genuinely production-level content. By week 4 I had a working framework with CI/CD wired up. That project got me through the Freshworks technical round directly.”
“The TypeScript module alone was worth the course — generics, discriminated unions, module augmentation for custom fixtures. Most QA courses barely touch TypeScript beyond basic types. Cognizant specifically asked about how I structured my Page Object base classes with generics. Got the offer in my first attempt.”
Sessions are taught by someone who does this work, not by a full-time trainer reading slides.
Real Industry Trainers, Not Just Instructors
Every Fourcup trainer has a minimum of 9+ years of total IT industry experience and 5+ years of specific, hands-on experience in the exact tool or domain they teach. They are currently working professionals — the frameworks, edge cases, and interview questions taught are what's actually used in live projects today. Mock-interview mentors are the same trainers who conduct real technical interviews at their day jobs.
“Fourcup completely changed my career trajectory. I was stuck in manual testing for 3 years with no idea how to get into automation. The Playwright and TypeScript modules were far deeper than I expected — event-loop races and flaky-test root-cause analysis actually came up in my Zoho interview. Landed the role within 3 months of finishing.”
“I had tried two other institutes before Fourcup. They taught Selenium and stopped there. Fourcup went into Playwright's Trace Viewer, the Clock API, and shadow DOM handling — genuinely production-level content. By week 4 I had a working framework with CI/CD wired up. That project got me through the Freshworks technical round directly.”
“The TypeScript module alone was worth the course — generics, discriminated unions, module augmentation for custom fixtures. Most QA courses barely touch TypeScript beyond basic types. Cognizant specifically asked about how I structured my Page Object base classes with generics. Got the offer in my first attempt.”
Weekday, weekend and fast-track options. Seats are limited so sessions stay small enough to ask questions in.
Batch dates for this course have not been added yet.
“Fourcup completely changed my career trajectory. I was stuck in manual testing for 3 years with no idea how to get into automation. The Playwright and TypeScript modules were far deeper than I expected — event-loop races and flaky-test root-cause analysis actually came up in my Zoho interview. Landed the role within 3 months of finishing.”
“I had tried two other institutes before Fourcup. They taught Selenium and stopped there. Fourcup went into Playwright's Trace Viewer, the Clock API, and shadow DOM handling — genuinely production-level content. By week 4 I had a working framework with CI/CD wired up. That project got me through the Freshworks technical round directly.”
“The TypeScript module alone was worth the course — generics, discriminated unions, module augmentation for custom fixtures. Most QA courses barely touch TypeScript beyond basic types. Cognizant specifically asked about how I structured my Page Object base classes with generics. Got the offer in my first attempt.”
If yours is not here, call us — a working engineer will answer, not a call centre.
No questions have been added for this course yet.
“Fourcup completely changed my career trajectory. I was stuck in manual testing for 3 years with no idea how to get into automation. The Playwright and TypeScript modules were far deeper than I expected — event-loop races and flaky-test root-cause analysis actually came up in my Zoho interview. Landed the role within 3 months of finishing.”
“I had tried two other institutes before Fourcup. They taught Selenium and stopped there. Fourcup went into Playwright's Trace Viewer, the Clock API, and shadow DOM handling — genuinely production-level content. By week 4 I had a working framework with CI/CD wired up. That project got me through the Freshworks technical round directly.”
“The TypeScript module alone was worth the course — generics, discriminated unions, module augmentation for custom fixtures. Most QA courses barely touch TypeScript beyond basic types. Cognizant specifically asked about how I structured my Page Object base classes with generics. Got the offer in my first attempt.”