How to Implement AI in Software Testing?

Praveen Kumar

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How to Implement AI in Software Testing?
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9992,499
60 mins

🔍 Exploring AI in Testing? Let’s Talk.

AI is changing the way we think about quality engineering. From generating test cases to predicting defects and improving coverage, there are practical ways to bring AI into your QA process today.

I’m offering 1:1 consulting sessions where we’ll look at how you can apply AI in your own context. With over 13 years as an SDET at Various AI company and having guided more than 20,000 testers worldwide, I’ll share my hands-on experience with making AI part of real-world testing strategies.

🧠 Some of the areas we can cover together:

  • Spotting where AI adds real value in your QA flow
  • Planning a roadmap for AI adoption in testing
  • Hands-on with tools like OpenAI, AQD, Testim, Mabl, AutonomIQ
  • Generating test cases from requirements with LLMs
  • Integrating AI into Playwright/Selenium frameworks
  • Measuring ROI and effort saved through AI
  • Common mistakes teams make when introducing AI (and how to avoid them)

🎯 Who this will benefit most:

  • QA managers and leads exploring GenAI
  • Test automation engineers who want to scale faster
  • Engineering managers and SDETs leading innovation
  • Startups and enterprises testing the waters of AI adoption

📩 If this resonates with you, feel free to message me here on LinkedIn or drop a comment. Let’s explore how AI can support your testing goals.