Applied AI for Playwright Automation
COURSE OVERVIEW
The Applied AI for Playwright Automation course is an intermediate-level, hands-on training designed for software testers, test engineers, developers, and AI enthusiasts who want to enhance their test automation capabilities using Playwright and the latest advancements in Artificial Intelligence (AI). The course combines modern browser automation techniques with Generative AI (GenAI) and Agentic AI concepts, enabling participants to develop intelligent, scalable, and maintainable automated testing solutions.
Participants will learn how to build robust end-to-end automated tests using Playwright while exploring advanced topics such as test configuration, data-driven testing, API testing, accessibility testing, authentication, parallel execution, and Page Object Model (POM). The course also introduces AI-powered automation through Playwright AI Agent Orchestrators, demonstrating how AI agents can plan, generate, validate, and optimize automated tests. Through practical exercises and a real-world case study, participants will gain the skills to implement AI-assisted test automation for modern software development environments.
Duration: 5 days / 40 hours
Delivery Method: Classroom-based, Virtual Instructor Led Training
LEARNING OBJECTIVES
By the end of this course, participants will be able to:
· Understand the fundamentals of Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI, and their applications in software test automation.
· Differentiate between traditional automation approaches and AI-powered automation strategies.
· Develop and execute end-to-end automated test scripts using Playwright.
· Utilize Playwright Codegen to rapidly generate and refine automated test scripts.
· Implement Playwright features for handling dialogs, frames, downloads, assertions, annotations, regular expressions, and UI testing.
· Configure and optimize Playwright test execution using multiple browsers, parallel execution, retries, reporting, timeouts, and environment configurations.
· Build scalable and maintainable automation frameworks using data-driven testing, fixtures, authentication, sharding, isolation techniques, and the Page Object Model (POM).
· Perform API testing and accessibility testing using Playwright's built-in capabilities.
· Integrate Playwright with AI-powered agents to automate test planning, code generation, and validation processes.
· Apply AI-assisted automation techniques to improve test efficiency, reliability, and maintenance.
· Implement industry best practices for modern test automation through hands-on exercises and a real-world project case study.
· Develop practical skills to build intelligent, AI-enabled automation solutions that support continuous testing and modern software delivery pipelines.
SKILLS YOU’LL GAIN
· Generative Artificial intelligence
· Gen AI Vs Agentic AI
· Playwright Test Automation
· Playwright integration with AI Agents
PRE-REQUISITES
Software Test Automation fundamentals, Python programming knowledge
AUDIENCE
· AI enthusiasts
· Software developers
· Software Testers
· Test engineers
COURSE OUTLINE
DAY 1
· Understanding AI, Gen AI and Agentic AI
· Intro to Playwright Automation
· Playwright Codegen
· Recording first test using Codegen
· Execute test
DAY 2
· Dialogs,Frames,Handles
· Handle mouse click events
· Downloads
· Library
· Assertions
· Regular expression
· Annotations
· Tags
· Command line
· UI mode
· Trace viewer
DAY 3
· Test Configurations
o Projects/Browsers
o Parallelism
o Retries
o Reporter
o Test use option
o Timeout
o Global setup
o Global tear down
o Web server
o Trace viewer
o Emulation
DAY 4
· Data-driven testing
· Accessibility testing
· API testing
· Authentication
· Fixtures
· Isolation
· Sharding
· POM
Day 5
· Playwright AI Agent Orchestrator
o Planner
o Generator
o Validator
· Case Study: Project
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