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Rafał Podraza - Testowanie Oprogramowania

Welcome to the "Exam Preparation: ISTQB CT-GenAI" Course.

This course is your complete guide to mastering the concepts, techniques, and responsibilities required to excel in testing with Generative AI, specifically designed to help you prepare for the ISTQB Certified Tester – Foundation Level Extension: Generative AI (CT-GenAI) exam.

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Welcome to the "Exam Preparation: ISTQB CT-GenAI" Course.

This course is your complete guide to mastering the concepts, techniques, and responsibilities required to excel in testing with Generative AI, specifically designed to help you prepare for the ISTQB Certified Tester – Foundation Level Extension: Generative AI (CT-GenAI) exam.

Whether you’re an experienced tester aiming to adapt your skills to the age of AI, or a QA professional looking to gain cutting-edge knowledge of LLMs, prompt engineering, and AI-assisted testing practices, this course provides a comprehensive, syllabus-based approach that will empower you to pass the exam with confidence.

What You’ll Learn:

AI Fundamentals & SpectrumUnderstand the differences between symbolic AI, classical machine learning, deep learning, and generative AI. Learn how LLMs and SLMs work, including tokenization, embeddings, and context windows.

Core Capabilities of LLMs in TestingExplore how AI supports requirements analysis, test case creation, test data generation, defect analysis, automation, and reporting across the test lifecycle.

Prompt Engineering TechniquesMaster structured prompts, prompt chaining, few-shot prompting, and meta prompting. Learn how to refine prompts for accuracy and reliability in testing tasks.

Risks & Mitigation StrategiesIdentify and address AI challenges such as hallucinations, reasoning errors, biases, and non-deterministic behavior. Learn mitigation techniques like RAG, fine-tuning, and structured review processes.

Data Privacy & SecurityDiscover how to use GenAI responsibly, with a focus on privacy-preserving practices, data protection regulations like GDPR, and security considerations in AI-powered test tools.

Standards, Regulations & EthicsExplore relevant standards (ISO/ Understand the ethical implications of using GenAI in testing and how to apply them in practice.

Test Management in AI-Enabled OrganizationsSee how tester and test manager roles evolve in AI-powered environments. Learn about hybrid teams of human testers and AI agents, and how to build GenAI strategies in test organizations.

Practical Exam PreparationTest your knowledge with practice questions designed to simulate the real ISTQB CT-GenAI exam, ensuring you gain both confidence and exam-ready skills.

Who This Course Is For:

  • Aspiring CT-GenAI Candidates: Individuals preparing for the ISTQB CT-GenAI exam who want a structured, in-depth study path.

  • QA Professionals and Testers: Testers eager to expand their expertise into AI-powered testing and gain a competitive edge in a rapidly evolving field.

  • AI & Software Practitioners: Those who want to understand how AI impacts testing processes, risks, and quality in real-world projects.

By the end of this course, you will have a thorough understanding of both the theoretical foundations and the practical applications of Generative AI in software testing. You’ll be well-prepared not only to pass the ISTQB CT-GenAI certification exam but also to apply these insights effectively in real-world testing scenarios.

Let’s begin your journey toward becoming a Certified Tester in Generative AI.

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What's inside

Learning objectives

  • Understand the role of generative ai and llms in software testing
  • Learn how to design effective prompts for different testing tasks
  • Explore key ai capabilities such as test case creation, defect analysis, and test data generation
  • Recognize common risks like hallucinations, reasoning errors, and biases
  • Discover strategies to improve reliability and security when using genai
  • Gain awareness of data privacy, compliance, and ethical considerations
  • See how genai changes the roles of testers and test managers
  • Get practical guidance to prepare for the istqb ct-genai certification exam

Syllabus

Introduction
About instructor
Information about Exam CT‑GenAI
Introduction to Generative AI for Software Testing
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Learners who complete Exam Preparation: ISTQB CT‑GenAI will develop knowledge and skills that may be useful to these careers:

Reading list

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Provides a thought-provoking exploration of the future of generative AI, discussing its potential benefits and risks. It is written by Gary Marcus, a leading researcher in the field.
Explores the potential impact of generative AI on society, discussing how it could be used to solve social problems and improve quality of life. It is written by Kai-Fu Lee, a leading researcher in the field.
Explores the relationship between generative AI and the creative process, discussing how generative AI can be used to enhance creativity. It is written by Margaret Boden, a leading researcher in the field.
Explores the potential impact of generative AI on the law, discussing how it could be used to automate legal processes and improve access to justice. It is written by Ryan Abbott, a leading researcher in the field.
Provides a practical guide to using generative AI, covering the different techniques and tools available. It is written by two leading experts in the field, Josh Patterson and Adam Gibson.
Explores the potential applications of generative AI in climate change, discussing how it could be used to model climate change and develop solutions. It is written by Andrew Ng, a leading researcher in the field.
Provides a business-oriented perspective on generative AI, discussing its potential impact on industries and how companies can use it to gain a competitive advantage. It is written by three leading experts in the field, Thomas Davenport, Rajeev Ronanki, and Nitin Mittal.
Explores the philosophical implications of generative AI, discussing how it challenges our understanding of mind and consciousness. It is written by Daniel C. Dennett, a leading philosopher in the field.
Explores the potential applications of generative AI in healthcare, discussing how it could be used to improve patient care and accelerate drug discovery. It is written by Eric Topol, a leading researcher in the field.
Explores the potential impact of generative AI on the economy, discussing how it could be used to create new jobs and improve productivity. It is written by two leading experts in the field, Erik Brynjolfsson and Andrew McAfee.
Provides a practical guide to agile testing. It covers a wide range of topics, from test planning and design to test execution and analysis. This book good resource for anyone who wants to learn more about how to test software in an agile environment.
Classic in the field of software testing. It provides a comprehensive overview of the principles and practices of software testing. This book good resource for anyone who wants to learn more about the foundations of software testing.
Takes a practical approach to software testing, focusing on the skills and techniques that are essential for effective testing. It covers a wide range of topics, from test planning and design to test execution and analysis. This book good resource for anyone who wants to improve their software testing skills.
Provides a guide to exploratory testing. It covers a wide range of topics, from the principles of exploratory testing to the techniques that can be used to perform it. This book good resource for anyone who wants to learn more about exploratory testing.
Provides a comprehensive overview of software testing principles and practices. It covers a wide range of topics, from the principles of software testing to the techniques that can be used to perform it. This book good resource for anyone who wants to learn more about the foundations of software testing.
Provides a guide to selecting and using the right software testing tools for the job. It covers a wide range of topics, from the different types of software testing tools to the factors that should be considered when selecting a tool. This book good resource for anyone who wants to learn more about how to use software testing tools effectively.
Provides a practical guide to test automation. It covers a wide range of topics, from the principles of test automation to the techniques that can be used to implement it. This book good resource for anyone who wants to learn more about how to automate software tests.
Provides a comprehensive overview of the art of software testing. It covers a wide range of topics, from the principles of software testing to the techniques that can be used to perform it. This book good resource for anyone who wants to learn more about the foundations of software testing.
Provides a comprehensive overview of software testing, including both theoretical and practical aspects. It covers a wide range of topics, from test planning and design to test execution and analysis. This book good resource for anyone who wants to learn more about software testing, regardless of their experience level.

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