Tarek Roshdy

    ISTQB Testing with Generative AI (CT-GenAI)

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    Generative AI · Online Course

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    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.

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    Tarek Roshdy

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    Tarek Roshdy 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…Show more

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    Program Overview

    Online Course

    Learning format

    Generative AI

    Subcategory

    $22.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Comprehend the core principles of the ISTQB Certified Tester Generative AI (CT-GenAI) syllabus and how LLMs map to different stages of the Software Testing Life Cycle (STLC).
    • Apply advanced prompt engineering techniques, such as few-shot prompting and role-based framing, to generate structured test cases, automated test scripts, and test data.
    • Formulate high-quality agile testing artifacts, including detailed user stories, functional acceptance criteria, and structured exploratory test charters using AI tools.
    • Evaluate AI-generated testing outputs systematically to identify hallucinations, functional gaps, biases, and compliance issues against industry standards.
    • Implement safe and ethical GenAI practices in testing workflows, ensuring data privacy, intellectual property protection, and alignment with organizational security policies.
    • Integrate Generative AI tools with existing test management and test automation frameworks to accelerate test cycle execution and reporting.

    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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