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Build fast, observable, cross-browser TypeScript automation for modern applications.
This course includes 70 hands-on labs — practice in real environments.
Haithem Mihoubi
Instructor
Free course
Enroll instantly — all lessons included
This course includes:
Build fast, observable, cross-browser TypeScript automation for modern applications. This production-oriented phase combines written instruction, visual models, interactive decisions, and practical work on the shared QA Practice Hub application from manual testing through automation and SDET practices.
An LLM agent is a system that can execute tasks given in natural language or structured formats. It uses the planning capabilities of Large Language Models (LLMs) by calling tools that enable interaction with its environment. The agent also includes a memory mechanism. Both the agent's process and outcomes are non-deterministic.
LabsInspect, reproduce, and isolate failures across browsers, APIs, and distributed systems.
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Installation
Node.js
JavaScript
TypeScript
Browser
Browser Context
Page
Locator API
Role Locators
Fixtures
Projects
Network Interception
Mocking
Tracing
Videos
Mobile Emulation
Cross Browser
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Text Locators
Assertions
Auto Waiting
Authentication
Storage State
Page Object Model
Screenplay Pattern
Enterprise Framework
API Testing
HAR Replay
Screenshots
Parallel Execution
Workers
Retries
Sharding
GitHub Actions
Docker
Best Practices
Enterprise SaaS Project
Playwright Interview Preparation