Achieve faster release cycles by integrating AI into every stage of the testing lifecycle.
3K+
Successful Students
4.6 Rating
★★★★★⯪
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Modern QA roles demand AI literacy. Without it, growth opportunities shrink and teams lag behind evolving industry expectations. The course builds practical AI-assisted testing capability, prompting, reviewing, generating, refining, helping you stay competitive, expand career scope, and contribute to strategic AI adoption in your organization.
Understand the evolution from manual to AI-assisted testing and learn how GenAI improves efficiency, creativity, and coverage across testing workflows.
Master prompt patterns and refinement techniques to generate test cases, analyze requirements, create data, review defects, and support test execution with precision.
Apply AI-driven approaches to generate diverse test ideas, optimize test coverage, and accelerate design across multiple testing formats.
Work with real-world scenarios to apply GenAI for requirement refinement, test optimization, data formatting, and bug advocacy.
Gain the capabilities needed to elevate testing practices, support AI adoption initiatives, and strengthen your team’s overall quality strategy.
Reserve your spot in advance and choose the schedule that best fits your availability
Build the skills and confidence to apply AI responsibly and effectively across your entire testing workflow.
90% hands-on training that helps you implement AI support immediately in your testing work.
Updated continuously to reflect industry advancements and modern AI testing practices.
Practice tests, expert mentoring, and structured study plans to help you ace the exam.
Ongoing access to a learning community that encourages collaboration, support, and expert interaction beyond the training duration.
Access detailed study materials, practical templates, and curated reference content for 30 days after training to reinforce learning and support workplace implementation.
This program equips you with job-ready, AI-supported testing skills that accelerate both your productivity and career growth.
Get a detailed overview of the course content and structure. Download the syllabus to see what you'll be learning and how our program can help you achieve your career goals.
Testing & QA Professionals
Testers, QA engineers, test designers, test analysts, automation engineers, and UAT testers.
Technology & Delivery Leaders
Test managers, QA managers, product owners, project managers, and team leads.
Anyone Adopting AI in Testing
Ideal for professionals who want a practical, applied understanding of using AI to improve testing outcomes.
Aastha Agarwal is the AI Transformation Coach at Verity Software and First Authorized & Certified ISTQB CT-AI Trainer in India. AI Test Engineer + Manual tester + Corporate Coach – Experience in uncovering biases & ensuring fairness in AI Systems | “Optimizing Performance & Reliability of Machine Learning Models” | Combining traditional software testing expertise with AI knowledge to make sure of developing or deploying AI-powered solutions | Corporate coaching on AI & Machine Learning on various global certifications & non-certification courses.
I recently completed the Certified GenAI-Assisted Test Engineer (GenAiA-TE) course, and I am thoroughly impressed with the depth and breadth of the content covered.
This course provided invaluable insights into the intricacies of Prompt Engineering and the practical applications of Large Language Models (LLMs) and Generative AI (Gen AI) in software testing.
The curriculum is well-structured, ensuring that each module builds on the previous one, and the hands-on exercises were particularly beneficial in solidifying my understanding of the concepts.
I now feel confident in leveraging these advanced technologies to create more efficient and intelligent testing strategies.
I am thrilled to have earned the Gen AI Assisted Test Engineer Certificate. This certification reflects my commitment to leveraging advanced AI tools in software testing and quality assurance, ensuring more efficient and accurate testing processes.
Big thanks to Vinay Baid who helped me in this journey. I’m looking forward to applying these new skills and insights to drive innovation and excellence in my current and future projects.
Personalized learning tailored to your pace, schedule, and career goals.
₹24,999
Scalable training solutions for teams of any size, across all domains.
No prior AI experience is required. Basic software testing knowledge is sufficient, and the course builds AI-assisted testing skills from fundamentals to advanced applications.
The training is highly practical, with nearly 90% of the course focused on hands-on exercises, case studies, and real-world demonstrations.
The instructor-led program typically runs for 2–3 days, depending on the delivery plan. Self-learn participants can progress at their own pace using structured learning materials.
The course is available in instructor-led online and self-learn online formats. The syllabus is tool-agnostic and focuses on applying GenAI concepts across platforms such as OpenAI, Anthropic, Google, and open-source LLMs.
You gain practical AI-assisted testing skills across requirements review, test design, test data preparation, and defect reporting, making you more competitive for advanced QA and AI-focused testing roles.
Reserve your spot in advance and choose the schedule that best fits your availability.
