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.
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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.
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01Lezione 1AI in everyday QA work+
Theory and practice
ArticoloWhat to delegate to AI and who owns the result
ArticoloContext, prompting and answer review
Verifica della conoscenzaCheck your understanding
02Lezione 2Testing an AI feature+
Theory and practice
ArticoloAn evaluation dataset and quality criteria
ArticoloPrompt injection and trust boundaries
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03Lezione 3Code foundations and the local laboratory+
Theory and practice
ArticoloFrom a manual scenario to code
ArticoloInstallation, Git and a reproducible run
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04Lezione 4Playwright + TypeScript+
Theory and practice
ArticoloYour first test: locator, action, expectation
ArticoloDebugging, traces and AI code review
Verifica della conoscenzaCheck your understanding
05Lezione 5Java + Selenide + JUnit+
Theory and practice
ArticoloHow Selenide, Selenium and JUnit fit together
ArticoloIsolation, waiting and maintaining Java tests
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06Lezione 6Python + pytest + Playwright+
Theory and practice
ArticoloFixtures and parameterized checks
ArticoloData, diagnosis and refactoring Python tests
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07Lezione 7Cypress + TypeScript+
Theory and practice
ArticoloThe command queue and observing a request
ArticoloStub or real request: what was tested
Verifica della conoscenzaCheck your understanding
08Lezione 8WebdriverIO + TypeScript+
Theory and practice
ArticoloRunner, capabilities and asynchronous commands