Still writing Selenium tests in Java? 70% of QA engineers are switching to Playwright. This is the course that gets you there — with TypeScript, agentic testing, and CI/CD pipelines.
Learn to build a production-grade Playwright framework with TypeScript — plus Cursor, Claude Code, and GitHub Actions CI/CD. The same stack senior SDETs use in production.
Syllabus
Modules
Programming Basics I — Variables, Data Types & Operators
Programming Basics II — Conditionals, Switch & Loops
Programming Basics III — Strings & Functions
TypeScript Foundations & Typing for Test Data
Async Programming for Automation
TypeScript Architecture for QA
Code Quality & Tooling
Modules
Project Setup & Writing Your First Test
Core Playwright Concepts & Codegen
Playwright Configuration & Multi-Environment Setup
Locator Strategy Deep Dive
Auto-Waiting, Assertions & Actionability
Interacting with Web Elements
Dialogs, Frames & Windows
API Interception & Mocking
Trace Viewer & Debugging
Page Object Model with TypeScript
Data-Driven Testing & Logging
External Data (CSV) & Reusable Helpers
Hooks, Global Setup/Teardown & Multi-Browser/Mobile
Framework Assembly (Phase 2 Capstone)
Modules
MCP Foundations
Agent: The Planner
Agent: The Generator
Full 4-Agent Architecture
AI Pair-Programming Workflows
AI for Dynamic Data & Visual Regression
Modules
CI/CD with the Agentic Loop + AI Failure Triage
Performance & Security Testing
Capstone: Agent Workflow & Final 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
- Career roles you'll be ready for: Playwright SDET, Senior Test Automation Engineer, QA Tech Lead
Tools
Playwright
TypeScript
GitHub Copilot
Cursor IDE
Claude Code
Docker
TestDino
n8n
Who Should Enrol
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.
Still testing everything by hand?
No coding experience needed — Phase 1 builds your TypeScript from scratch before Playwright even shows up.
Already automating with Selenium?
Skip what you already know. This course goes straight to auto-waiting, Trace Viewer, and the agentic MCP layer Selenium doesn't have.
Want the agentic testing skill set specifically?
Phase 3 goes past "use Copilot to write tests" — full agent architecture, autonomous debugging, and MCP vs. CLI.
Market Growth
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) lets AI agents control and test your application on their own — most QA professionals haven’t touched it yet. We also cover @playwright/cli, Microsoft’s 2026 companion tool that’s roughly 4x more token-efficient than MCP (27K vs 114K tokens per task). Knowing when to reach for MCP versus CLI is already showing up as a real interview question, so we teach both.