Tarek Roshdy

    Tarek Roshdy

    AI · English

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    Who Is Tarek Roshdy?

    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 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.

    Overview of Tarek Roshdy

    CategoryAI
    LanguageEnglish
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    Tarek Roshdy's Programs

    ISTQB Testing with Generative AI (CT-GenAI) bannerHighest rated
    ISTQB Testing with Generative AI (CT-GenAI)Generative AI

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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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    FAQ

    Answers to what buyers usually ask before enrolling in Tarek Roshdy’s courses, pricing, reputation, refunds, and how AllPros scores verified reviews.
    What is Tarek's professional background in software testing?

    Tarek Roshdy is an experienced software quality assurance professional who has spent years designing test strategies and implementing automated testing pipelines. He specializes in integrating advanced AI technologies, such as Large Language Models (LLMs) and generative tools, into standard testing frameworks to optimize QA productivity and accuracy.

    Who are Tarek's courses designed for?

    His courses are tailored for software testers, QA analysts, test managers, and developers who want to master the intersection of software testing and artificial intelligence. They are particularly beneficial for those preparing for the ISTQB CT-GenAI certification or looking to adopt generative AI tools in their daily QA operations.

    How does Tarek approach teaching complex AI topics?

    Tarek uses a highly practical, step-by-step approach. He avoids overly theoretical lectures, choosing instead to explain the underlying mechanics of AI tools before demonstrating them in real-time. Students work through real-world scenarios, learning exact prompting techniques and integration strategies they can apply immediately.

    Will this course help me prepare for official ISTQB certifications?

    Yes, his curriculum is aligned with modern industry standards and specifically covers the core syllabus of the ISTQB Testing with Generative AI (CT-GenAI) framework. Students gain both the theoretical knowledge required for certification and the hands-on skills needed to apply these concepts in professional projects.

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