Training certification ISTQB CT‑GenAI : Testing with Generative AI
Access times
Online (live virtual with trainer) or on-site in-company format.
Once the registration is validated, the training date is proposed within 48 hours
Duration
This training ISTQB CT GenAI “Accelerate Your Software Testing with Generative AI” lasts 2 day and is given face-to-face on an inter-company basis or online.
Format
Live online with a trainer or on-site at our organization
Target audience
- Quality Engineers, QA Manager
- Testers, Test Consultants
- Developers, Test Automation Engineers
- Product Owner, Project Managers
- Business Analysts
Update
Date 03/09/2025 – V:003
Next sessions :
3 to 6 March 2026 between 2pm and 6pm CET
22 – 23 June 2026
12 – 15 October 2026 between 2pm and 6pm CET
Training certification ISTQB CT‑GenAI : Testing with Generative AI
Get ready for the ISTQB CT-GenAI certification while integrating AI into your software testing through our practice-focused training.
You will learn how to master the use of conversational AI and develop effective prompts for various Large Language Models (LLMs)—a key skill to enhance the accuracy and efficiency of your testing. You will also gain the ability to identify the opportunities, limitations, and risks associated with using AI in testing.
Through hands-on exercises, you will experiment with a variety of AI models and tools, strengthening your ability to integrate them into your testing strategies. Our training is designed to prepare you to optimize test cycles, improve software quality, transform your testing methods by leveraging AI, and successfully achieve the ISTQB Certified Tester, Testing with Generative AI (CT-GenAI).
Price: 1.800 € HT / person
Course Training certification ISTQB CT‑GenAI :
Testing with Generative AI
View course summary - Accelerating Software Testing with Generative AI
Section 1 – Introduction to Generative AI for Software Testing
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Foundations and key concepts of Generative AI
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Leveraging Generative AI in software testing: general principles
Section 2 – Prompt Engineering for Effective Software Testing
- Developing effective prompts
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Applying prompt engineering techniques to software testing tasks
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Evaluating Generative AI outputs and refining prompts for testing tasks
Section 3 – Managing Risks of Generative AI in Software Testing
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Hallucinations, reasoning errors, and bias
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Data confidentiality and security risks of Generative AI in software testing
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Energy consumption and environmental impact of Generative AI for testing
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Regulations, standards, and best-practice frameworks for AI
Section 4 – LLM-Based Testing Infrastructure for Software Testing
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Architectural approaches for LLM-based testing infrastructures
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Fine-Tuning and LLMOps: operationalizing Generative AI for software testing
Section 5 – Deployment and Integration of Generative AI in Testing Organizations
- Roadmap for adopting Generative AI in software testing
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Managing change when adopting Generative AI for software testing
Training methods : ISTQB CT Gen AI – Testing with Generative AI
The training content complies with the ISTQB Certified Tester – Testing with Generative AI (CT‑GenAI) syllabus.
The objectives of this training are to:
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Present the essential knowledge on Generative AI:
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Types of AI
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Large Language Models (LLMs)
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Learning, context window, hallucination
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Introduce the main techniques for querying AI models: prompt engineering. Use cases for software testing are applied through a real web application, including test design, test optimization, and test automation.
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Cover the risks and limitations of Generative AI, such as hallucinations, risks of data leakage and cybersecurity issues, as well as the energy costs of AI computations.
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Demonstrate methods for developing applications based on Generative AI, such as LLM-based AI agents.
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Contribute effectively to defining and implementing a Generative AI strategy and roadmap for software testing within an organization.
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Summarize, discuss, and share the operational implementation of Generative AI for testing.
By the end of this training, each participant will be able to:
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Explain the differences between types of AI, distinguish between different LLMs, and list querying techniques for LLMs.
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Present the main techniques for querying Generative AI models, such as structured prompting, example-based prompting (few-shot prompting), and techniques for analyzing project documents as well as creating effective prompts to accelerate test design, optimization, and automation tasks.
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Detect hallucination issues and find solutions to address them, define an approach to using Generative AI to prevent data leaks and cybersecurity risks, and estimate the carbon footprint of Generative AI usage.
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Explain the architecture of a Generative AI application based on LLMs, explain the RAG (Retrieval-Augmented Generation) technology, and the principles behind agents powered by Generative AI.
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Define a strategy for implementing Generative AI in their environment, and share with colleagues what should be prioritized in using Generative AI to achieve concrete benefits while avoiding risks.
This training “AI for Software Testing – Certified Testing with Generative AI (CT-GenAI)” will enable you to:
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Acquire the practical skills needed to integrate a conversational AI into your testing processes
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Learn to distinguish the specific features of different LLMs in order to design effective prompts
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Identify the opportunities, limitations, and risks of using AI for testing
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Use a range of AI models and tools in your testing activities
Teaching resources used :
- ☑ Interactive presentations
- ☑ Live code examples and demos
- ☑ Practical workshops (70% of training)
- ☑ Access to AI models and environments
- ☑ Online collaboration tools & test case repositories
- ☑ Theory
- ☑ Active
- ☑ Interrogative
AI Tools used in the training:
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OpenAI: GPT-5, GPT-5 mini, GPT-5 nano
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Mistral: Mistral Nemo, Mistral Large, Pixtral, Codestral
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Anthropic: Claude-4 (Opus, Sonnet, Haiku)
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Smartesting: LLM Workbench, RAG Application, AI Test Runner (“AI agent”)
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Meta: Llama, CodeLlama
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Google: Gemini 2 Flash, Gemini 2 Pro, Gemini 2 Thinking
The training will continuously evolve to integrate the most relevant technological advances, in line with updates to the ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) certification.
The exam is optional, and this training is open to everyone.
Prerequisites for the training Certified ISTQB Testing with Generative AI (CT-GenAI)
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Basic knowledge of software testing
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Ease with digital tools
To ensure optimal learning conditions, please prepare:
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A computer with a camera, microphone, and speakers or a headset
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Google Chrome browser (preferred)
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Dual screens (strongly recommended for greater comfort)
Before the training: Entry questionnaire to assess initial knowledge.
During the training: Knowledge activation quizzes. Multiple assessments throughout the course to measure skill acquisition.
At the end of the training: Final evaluation quiz accompanied by a case study.
ISTQB Certification: Participants holding the ISTQB Certified Tester Foundation Level certification may take the official exam and obtain an internationally recognized certificate upon completion of the training (ISTQB Certified Tester – Testing with Generative AI (CT-GenAI)).
Awarding:
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A certificate of achievement will be issued to each participant at the end of the training.
ISTQB Certification:
Participants holding the ISTQB Certified Tester Foundation Level certification may take the official exam and obtain an internationally recognized certificate upon completion of the training (ISTQB Certified Tester – Testing with Generative AI (CT-GenAI)).
Accessibility If you have any disability or need specific accommodations, please contact us at: contact@upskill4it.com
Learners’ testimonials from the AI for Software Testing
This AI training course fully met my expectations and thanks to the workshops I feel much more competent on this subject.
I’d definitely recommend it!
This course is an excellent mix of theory and practical exercises, to help you understand how to use Generative AI in the field of testing. It’s a top-quality must-have for anyone who wants to get to grips with the subject.
This course has enabled me to acquire new skills, and my objectives have been achieved.
The real plus is the workshops, which allow you to put into practice the concepts covered throughout the course.
Introducing the trainers :
Accelerate Your Software Testing with Generative AI
Bruno Legeard - Trainer, consultant, expert in software testing and AI for testing
Bruno is an expert in AI for testing.
He is involved in the development of AI-integrated tools at Smartesting and in evaluating generative AI for their application in software testing.
He also actively contributes to the French Software Testing Committee and to ISTQB within technical working groups.
Anne Kramer - Trainer software testing and AI for testing
Since her first model-based testing project in 2006, Anne has continuously promoted MBT – as project manager, consultant, trainer, and author.
In 2022, she joined Smartesting, where she discovered a whole new type of models: Large Language Models (LLMs) and Generative AI. With the support of Smartesting’s AI experts, Anne gained in-depth knowledge of using ChatGPT.
It is this knowledge that she now wishes to share in this training.
Buy Training ISTQB CT-GenAI : Testing with Generative AI
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