Tarek Roshdy

ISTQB Testing with Generative AI (CT-GenAI)

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Generative AI · Online Course

ISTQB Testing with Generative AI (CT-GenAI) Reviews & Product Details

The "ISTQB Testing with Generative AI (CT-GenAI)" course, crafted by industry expert Tarek Roshdy, bridges the gap between traditional software testing methodologies and the cutting-edge landscape of artificial intelligence. Designed for QA engineers, test automation specialists, and quality managers, this course provides a comprehensive deep dive into the certified CT-GenAI syllabus. Throughout this program, learners discover how to ethically and efficiently integrate Large Language Models (LLMs) into the software testing lifecycle (STLC). From writing highly precise prompts that yield structured test cases to automating documentation and test data generation, the curriculum balances theoretical frameworks with practical, hands-on application. Participants will master advanced prompt engineering techniques specifically tailored for software quality assurance, enabling them to construct robust user stories, clear acceptance criteria, and comprehensive exploratory test charters. Beyond mere asset creation, the course places a strong emphasis on risk management, teaching students how to rigorously evaluate AI outputs for biases, hallucinations, and compliance issues. By the end of this training, quality professionals will be equipped to leverage generative AI as a force multiplier, boosting their productivity while maintaining the highest standards of software reliability and regulatory compliance.

Best For

QA engineers looking to achieve official CT-GenAI certification Test automation specialists aiming to integrate LLMs into existing CI/CD pipelines Software testers wanting to improve productivity through prompt engineering Quality managers interested in the risks and ethical implementation of AI in testing

Not For

Individuals with zero prior experience in software testing or quality assurance Developers who are strictly looking for AI-assisted code generation without a focus on test methodology Professionals seeking a general high-level overview of AI without practical application to the STLC

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About the Creator

is a seasoned software testing professional and educator dedicated to bridging the gap between traditional quality assurance methodologies and cutting-edge artificial intelligence. With years of hands-on experience in the software engineering sector, Tarek specializes in modernizing QA workflows by introducing Generative AI tools to automate test case generation, improve test coverage, and streamline overall testing lifecycles. As an instructor, he focuses on practical, real-world applications, ensuring that QA engineers, test managers, and software developers can confidently transition into AI-driven testing paradigms. His curriculum for the ISTQB Testing with Generative AI (CT-GenAI) course is meticulously designed to break down complex machine learning concepts into digestible, actionable steps. Tarek's teaching philosophy revolves around active learning, where theoretical frameworks are immediately applied through interactive exercises, prompting strategies, and tool demonstrations. By demystifying how LLMs and generative models function within the testing ecosystem, he empowers technical professionals to elevate their careers and stay competitive in a rapidly evolving software industry.

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