Udemy - AI in Automation Testing - Tools, Practice and Scale

AI in Automation Testing: Tools, Practice & Scale

https://WebToolTip.com

Published 9/2026
Created by Ganesh Ravikumar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 85 Lectures ( 10h 26m ) | Size: 2.8 GB

A practical guide to AI across automated testing - Playwright, Selenium, Cypress, real suites, and what breaks at scale

What you'll learn
⚡ Choose between Playwright, Selenium and Cypress for a given project, and justify the choice with real trade-offs
⚡ Write resilient locators, and explain why most generated locators break within weeks
⚡ Generate tests from requirements, recordings and existing code - then cut the ones not worth keeping
⚡ Write assertions that actually catch regressions, rather than the weak ones generation produces by default
⚡ Tell the six causes of test flakiness apart, and fix each without adding another sleep
⚡ Run a quarantine that does not become a graveyard of permanently ignored tests
⚡ Maintain a suite of hundreds of tests as the application changes underneath it
⚡ Delete tests safely, and measure coverage in a way that means something
⚡ Cut pipeline time with parallelism, sharding and test selection, and know what each costs
⚡ Debug a CI failure you cannot reproduce locally, using traces, artefacts and logs
⚡ Judge where AI-native tools, self-healing locators and visual diffing belong next to a code suite
⚡ Spot a test that passes for the wrong reason, which is more dangerous than one that fails

Requirements
❗ You should be comfortable reading and writing code in at least one language - JavaScript, TypeScript, Python, Java or C# are all fine
❗ Some exposure to automated testing helps, but you do not need to be an expert in any of the three tools
❗ A machine you can install Node and a browser driver on, and ideally a real project with an existing test suite