ISTQB Certified Tester - Testing with Generative AI
- Référence ISTQB-CT-GENAI
- Durée 2 jour(s)
Modalité pédagogique
Classe inter à distance Prix
EUR1,990.00
hors TVA
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Modalité pédagogique
La formation est disponible dans les formats suivants:
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Classe inter à distance
Depuis n'importe quelle salle équipée d'une connexion internet, rejoignez la classe de formation délivrée en inter-entreprises.
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Classe inter en présentiel
Formation délivrée en inter-entreprises. Cette méthode d'apprentissage permet l'interactivité entre le formateur et les participants en classe.
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Intra-entreprise
Cette formation est délivrable en groupe privé, et adaptable selon les besoins de l’entreprise. Nous consulter.
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Résumé
Haut de pageThe ISTQB CT-GenAI training provides you with the knowledge and techniques to use GenAI tools and Large Language Models (LLMs) responsibly in software testing. In two days, you will learn how to enhance test processes with AI, manage risks, and integrate this technology into test infrastructures, while respecting ethics, privacy, and quality.
Virtual and Classroom learning - V&C Select™
V&C Select™ is a simple concept and a flexible approach to delivery. You can 'select' a course from our public schedule and attend in person or as a virtual delegate. Virtual delegates do not travel to this course, we will send you all the information you need before the start of the course and you can test the logins.
Prochaines dates
Haut de pagePublic
Haut de pageThis training is intended for testers, test analysts, test automation specialists, test managers, and other QA professionals who want to learn how to use Generative AI responsibly. The ISTQB Foundation Level (CTFL) certificate is required; programming knowledge is not necessary, but an affinity for AI or technological change is helpful.
Objectifs de la formation
Haut de pageAfter completing this course you should be able to:
- Understand the fundamental concepts, capabilities, and limitations of GenAI and LLMs in software testing.
- Develop and refine prompts for effective use of GenAI in test analysis, design, automation, and reporting.
- Identify and mitigate risks (hallucinations, reasoning errors, biases, privacy, security, environmental impact) associated with GenAI in testing.
- Explain and experiment with LLM-powered test infrastructure, including Retrieval-Augmented Generation and LLMOps.
- Contribute to the adoption and integration of GenAI in test organizations, including change management and skills development.
Programme détaillé
Haut de page1. Introduction to Generative AI for Software Testing
- Core concepts of GenAI, LLMs, tokenization, embeddings, multimodal models
- Applications of AI in the testing lifecycle
2. Prompt Engineering for Effective Software Testing
- Structured prompts, chaining, few-shot and meta prompting
- Applying prompts to test design and automation
3. Managing Risks of Generative AI in Software Testing
- Addressing hallucinations, bias, non-determinism, and security/privacy issues
- Ethical and regulatory considerations
- Assessing environmental impact of AI
4. LLM-Powered Test Infrastructure
- Retrieval-Augmented Generation (RAG), fine-tuning, and LLMOps
- Using AI agents for automated test processes
5. Deploying and Integrating GenAI in Test Organisations
- Creating an organizational roadmap for GenAI adoption
- Building AI testing capabilities in teams
- Adapting processes for AI-enabled environments
Pré-requis
Haut de pageAttendees should meet the following prerequsites:
- Candidates for the ISTQB® Advanced Level Test Automation Engineering certificate must hold the ISTQB® Certified Tester Foundation Level certificate (CTFL).
- No programming experience required.
Certification
Haut de pageRecommended as preparation for the following exam:
- ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI)