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AI-Powered Testing, Future-Ready Skills.
Unlock the future of software testing with our Certified GenAI-Assisted Testing Engineer (GenAiA-TE) course. This intensive three-day program equips testers with cutting-edge AI-driven techniques to enhance efficiency, accuracy, and decision-making in modern testing environments.
Through a hands-on approach, participants will gain practical experience with real-world AI applications, learning from industry-leading experts who bring the latest advancements in AI-assisted testing. Whether you’re looking to future-proof your career or drive AI adoption in your organization, this certification positions you at the forefront of the evolving software testing landscape.
In just three days, you’ll embark on a journey through seven comprehensive chapters, each meticulously designed to equip you with cutting-edge knowledge and practical skills:
AI-Assisted Testing IntroductionAI has changed the way we look at the problem space in testing. The possibilities are endless. To some it is intimidating and to others, like us and the target audience of this offer, it opens new doors.
Prompt EngineeringLike most things in testing, coming up with effective and efficient prompts is a craft as well as an art. Low on jargons, here we delve directly into various prompting techniques that can help a tester or anyone in general.
Requirements ReviewCapturing requirements is a critical step in a development life cycle, as this is where one or more individuals try to express usually a vague notion of what is to be built, in a recorded format. In this translation of what is supposed to be built (which could have its own issues in understanding) versus what is captured, there can be many issues. Requirement review is a stage for one of the earliest forms of testing where testers can contribute in making the requirements better. Given the inherent complexity of requirement reviews, AI can be of great assistance to a tester.
Test Generation and OptimizationIf one were to name one skill which is absolutely critical for a tester, that’s test design. It usually gets to be a very involved task when we look at a test object as a whole and often needs experienced testers or consultants with specialized skills. With AI available to assist you, any tester with foundational knowledge can generate pretty comprehensive test design using AI.
Test Data GenerationA tester creates variants of test data to exercise a single test idea in various forms. Many a times, it’s the test data which makes a test case stand unique amongst others. For complex domains, coming up with appropriate test data is a challenge and AI is here to assist in this.
Bug AdvocacyLarge Language Models built on Natural Language Processing are especially powerful at generating and evaluating textual contents in various formats. A tester can use this power to advocate bugs in a better manner by writing reports that sell.
The Road AheadBeyond the scope of this course, there are still many current and future possibilities for AI assistance in testing. This concluding section gives a glimpse of these opportunities. Also, it retrospects how AI is not a full replacement of human intellect and how in combination these two forms of intelligence can do magic.
The Certified GenAI-Assisted Test Engineer (GenAiA-TE) certification is designed for software testing professionals who would like to use the possibilities of GenAI in their daily work to maximize their software quality assurance contributions. This certification course will change how you work and bring you to state-of-the-art AI-assisted testing.
There is an exam associated with this course. After completing this accredited course in full you can complete the AiU Certified GenAI-Assisted Test Engineer exam to complete your certification. What you should know about the AiU Certified GenAI-Assisted Test Engineer exam:
Want to establish a solid foundation for your testing career? Find out how you can gain the skills and knowledge you need as a testing professional with this industry standard qualification.
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