Master AI-Powered Playwright + TypeScript. The Framework 70% of Testers Are Switching To in 2026.
Agentic testing, self-healing frameworks, Cursor + Claude Code workflows, and CI/CD pipelines — built the way senior SDETs do it in 2026.
Playwright is now the automation framework of choice for teams that move fast. This course teaches you not just how to use Playwright — but how to architect enterprise frameworks with TypeScript, integrate agentic testing loops with MCP, implement self-healing test logic, and run everything through CI/CD pipelines. If you want to be the SDET who gets hired in 2026 and beyond, this is the course.
Syllabus
Phase 1: TypeScript for QA Architects
Modules
TS Basics & Environment
Typing & Interfaces
Functions & Async
Object Destructuring/Modules
Promises & Error Handling
TS for QA Architecture
Logic Building Lab
Phase 2: Playwright Core — Selectors, Assertions & Advanced Interactions
Modules
PW Setup & Config
Locators & Selectors
Auto-Waiting & Assertions
Actionability & Events
Dialogs, Frames, & Windows
API Interception & Mocking
Trace Viewer & Debugging
POM with TypeScript
Playwright CLI vs MCP
Phase 3: AI-Powered & Agentic Testing with MCP
Modules
Intro to Playwright MCP
app.context.md + Playwright Skills
Agent: The Planner
Agent: The Generator
Agent: The Healer + Analyzer
Autonomous Debugging
Prompting for Agents
Cursor + Claude Code + Copilot as AI Pair-Programmers
Dynamic Data with AI
Multi-Browser Agent Loop
Visual Regression w/ AI
hase 4: CI/CD, Performance, Security & Capstone
Modules
CI/CD with Agentic Loop
Performance Benchmarking
AI Failure Classification in CI
Security Testing with AI
Capstone: Agent Workflow + n8n Orchestration
Final Review & Demo
Outcome
By the end of this course, you will be able to:
- Build a complete Playwright + TypeScript automation framework using POM architecture
- Execute cross-browser and parallel tests at scale
- Implement API + UI hybrid test strategies in a single framework
- Use Playwright MCP Server to create agentic, AI-driven test workflows
- Debug failures using Playwright Trace Viewer with zero guesswork
- Implement visual regression testing with AI-powered diff analysis
- Run your full suite through Docker and GitHub Actions CI/CD pipelines
- Deliver a capstone project demonstrating enterprise-level framework design
Tools
Playwright
TypeScript
GitHub Copilot
Cursor IDE
Claude Code
Docker
TestDino
n8n
Who Should Enroll
Teams shipping AI-generated code?
AI tools like Copilot and Cursor write features faster than traditional tests can cover. Learn to build agentic test loops that keep pace.
Market Growth
70% of testers switching to Playwright by 2026
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₹33L avg Playwright salary in India, ₹57L+ for senior roles' — source: 6FigR/TestDino 2025
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80% of QA postings now require automation skills' — source: IT Jobs Watch, Feb 2026
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FAQs
This course is for manual testers, automation engineers, and QA professionals who want to transition from Selenium or from manual testing to Playwright — the modern automation framework of choice for enterprise teams.
No. Phase 1 of the course is dedicated to TypeScript fundamentals. If you have any programming background (Java, JavaScript, Python), you’ll be comfortable from day one.
Playwright, TypeScript, Playwright MCP, @playwright/cli, Cursor IDE, Claude Code, GitHub Copilot, Playwright Skills library, copilot-instructions.md conventions, GitHub Actions, Docker, TestDino/Allure AI reporting, n8n orchestration, and Trace Viewer.
Playwright supports API interception, multi-browser execution, and agentic MCP testing out of the box. The NextGen SDET course focuses heavily on framework architecture and AI-assisted automation, making it more suitable for senior-level roles.
Playwright MCP (Model Context Protocol) enables AI agents to control and test your application autonomously. This is cutting-edge technology that very few QA professionals know — and Also cover @playwright/cli — Microsoft’s 2026 companion tool that is 4x more token-efficient than MCP (27K vs 114K tokens per task). Knowing when to use MCP vs CLI is now a real interview question. We teach both..