Praktinis QA kursas

AI for QA and Test Automation

A practical foundation for QA work with AI: reviewing generated answers, testing AI features, and automation with Playwright/TypeScript, Selenide/Java, pytest/Playwright/Python, Cypress/TypeScript and WebdriverIO/TypeScript. Includes a shared local application, laboratory files, quizzes and a capstone.

9 mokymosi sesijosVisas kursas · nemokamas

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Course curriculum

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Lesson 1AI in everyday QA work

Theory and practice

ArticleWhat to delegate to AI and who owns the result
ArticleContext, prompting and answer review
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Lesson 2Testing an AI feature

Theory and practice

ArticleAn evaluation dataset and quality criteria
ArticlePrompt injection and trust boundaries
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Lesson 3Code foundations and the local laboratory

Theory and practice

ArticleFrom a manual scenario to code
ArticleInstallation, Git and a reproducible run
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Lesson 4Playwright + TypeScript

Theory and practice

ArticleYour first test: locator, action, expectation
ArticleDebugging, traces and AI code review
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Lesson 5Java + Selenide + JUnit

Theory and practice

ArticleHow Selenide, Selenium and JUnit fit together
ArticleIsolation, waiting and maintaining Java tests
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Lesson 6Python + pytest + Playwright

Theory and practice

ArticleFixtures and parameterized checks
ArticleData, diagnosis and refactoring Python tests
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Lesson 7Cypress + TypeScript

Theory and practice

ArticleThe command queue and observing a request
ArticleStub or real request: what was tested
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Lesson 8WebdriverIO + TypeScript

Theory and practice

ArticleRunner, capabilities and asynchronous commands
ArticleBrowser state, concurrency and diagnosis
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Lesson 9CI, review and the capstone

Theory and practice

ArticleCI checks and investigating instability
ArticleCapstone: from requirement to evidence
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