Overall, a clear and practical course on how AI can be applied in the software testing lifecycle. I found it useful in understanding how tools like ChatGPT can support activities such as test case generation, exploratory testing, and defect analysis. The examples were relevant to real QA workflows and easy to follow. I would recommend this course to testers looking to understand how AI can complement their existing testing practices.
AI for Software Testers: Apply AI Tools and Techniques to the Software Testing Life Cycle
With Mike Smith
Liked by 305 users
Duration: 1h 17m
Skill level: Intermediate
Released: 7/9/2025
Course details
Software testing is often the most repetitive aspect of a large software project, with many similar tests, customized slightly for different contexts, and then constant evaluation of those test results. AI coding techniques can simplify these intensive test review cycles. Instructor Mchael Smith walks you through the possibilities, from using AI to help you decide on testing targets and strategies through implementing them with ChatGPT, GitHub Copilot, and similar tools, as well as evaluating test reports.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Adrian Bursuc
Adrian Bursuc
ISTQB Certified Senior Test Engineer with expertise in System and Software testing
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Manoj Dumpala
Manoj Dumpala
Automation Architect & Quality Engineering Leader | Test Strategy, DevOps, CI/CD | Building Scalable Automation Frameworks Across Enterprise Systems
Contents
What’s included
- Learn on the go Access on tablet and phone
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