ISTQB® Certified Tester – Testing with Generative AI
A hands-on training program to apply artificial intelligence to software testing, with real tools and practical use cases.
A hands-on training program to apply artificial intelligence to software testing, with real tools and practical use cases. Learn how to integrate generative AI into your software testing processes with our practical training, designed specifically for testing professionals.
Throughout this course, you will explore the fundamentals of AI applied to software testing, adopt industry best practices, and discover concrete tools to automate and optimize your testing workflows.
You will gain essential skills to craft effective prompts, leverage LLMs (Large Language Models), and manage the risks of AI-related errors. You will also learn how to use conversational AI to query models like ChatGPT more efficiently, and how to integrate these technologies into your existing toolchains.
November 20-21, 2025
March 3-6, 2026 CET
June 22-23, 2026
October 12-15, 2026 CEST
2 days (14 hours)
Certified Training
Our training is ISTQB® certified. This means that participants holding an “ISTQB® Certified Tester Foundation Level” certificate can take the official exam and obtain an internationally recognized certificate upon completion of the training.
1800 €
- 2 days (14 hours)
- Online training
- 4 to 8 participants
- CPF eligible
- English
French and German, see here
CUSTOMISED
Contact our team for a customised rate training@smartesting.com.- 2 days (14 hours)
- Online training or in person
- 4 to 8 participants
- CPF eligible
- English
French and German, see here
Objectives
- Master the fundamentals of generative AI
- Use different prompting techniques effectively
- Assess the risks of using AI to accelerate software testing
- Integrating generative AI into testing processes
Requirements
- Having knowledge in software testing
- However, to take the ISTQB® Certified Tester “Testing with Generative AI” certification exam, you must already hold the ISTQB® Certified Tester Foundation Level certificate.
1800 €
- 2 days (14 hours)
- Online training
- 4 to 8 participants
- CPF eligible
- English
French and German, see here
CUSTOMISED
Contact our team for a customised rate training@smartesting.com.- 2 days (14 hours)
- Online training or in person
- 4 to 8 participants
- CPF eligible
- English
French and German, see here
Objectives
- Master the fundamentals of generative AI
- Use different prompting techniques effectively
- Assess the risks of using AI to accelerate software testing
- Integrating generative AI into testing processes
Requirements
- Having knowledge in software testing
- However, to take the ISTQB® Certified Tester “Testing with Generative AI” certification exam, you must already hold the ISTQB® Certified Tester Foundation Level certificate.
What you will learn
The training content complies with the ISTQB Certified Tester syllabus ‘Testing with Generative AI’.
Smartesting is an accredited partner of ISTQB and CFTL.
1. Introduction to GenAi for Software Testing
1.1 Foundations and key concepts of generative AI
1.2 Leveraging generative AI in software testing: general principles
2. Prompt Engineering for Effective Software Testing
2.1 Effective prompt development
2.2 Applying prompt engineering techniques to software testing tasks
2.3 Evaluating generative AI results and refining queries for software testing tasks
3. Managing Risk of GenAI in Software Testing Process
3.1 Hallucinations, reasoning errors, and biases
3.2 Data confidentiality and security risks associated with generative AI in software testing
3.3 Energy consumption and environmental impact of generative AI for software testing
3.4 Regulations, standards, and best practice frameworks for AI
4. LLM-Powered Solutions for Software Testing
4.1 Architectural approaches for LLM-based testing infrastructures
4.2 Fine-tuning and LLMOps: operationalising generative AI for software testing
5. Deploying and Integrating GenAI in Test Organizations
5.1 Roadmap for adopting generative AI in software testing
5.2 Managing change when adopting generative AI for software testing
Objectives
- Understand the fundamental concepts, capabilities, and limitations of generative AI
- Develop practical skills in prompting large language models for software testing
- Gain insight into the risks and mitigations of using generative AI for software testing
- Gain insight into the applications of generative AI solutions for software testing
- Contribute effectively to the definition and implementation of a generative AI strategy and roadmap for software testing within an organization
Passing the ISTQB® certification
The ISTQB® international certification ‘Certified Tester – Testing with Generative AI’ demonstrates the acquisition of essential knowledge and skills for integrating GenAI functionalities in a responsible manner.
It also validates the ability to manage key risks: hallucinations, bias, security, confidentiality and environmental impact.
The exam, in the form of a 40-question multiple-choice test, takes place at the end of the session and lasts approximately one hour. A passing score is achieved with 26 correct answers, or 65%.
Satisfied professionals
99%
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Our tutors
The tutor is assigned according to the session. For further information, please contact us.
BRUNO LEGEARD
Bruno is a recognised expert in AI applied to software testing. At Smartesting, he is involved in developing tools that integrate AI and evaluating generative AI for testing. Highly involved in the community, he contributes to the work of the CFTL and ISTQB®, for which he co-authored the syllabus ‘Testing with Generative AI’ as technical lead.
ANNE KRAMER
Since 2006, Anne has been promoting Model-Based Testing through her work as a project manager, consultant, trainer and author. When she joined Smartesting in 2022, she turned her attention to Large Language Models and generative AI, exploring their use in software testing. Co-author of the ISTQB® syllabus ‘Testing with Generative AI’, she now shares her experience to support professionals in this evolution.
FABRICE BOUQUET
A professor of computer science at Marie and Louis Pasteur University, Fabrice is a specialist in software testing and artificial intelligence. With a PhD in computer science, he has more than 100 publications to his name and has been involved in numerous research projects and industrial collaborations. Passionate about the link between theory and practice, he shares his expertise and enthusiasm in the training courses he leads.
ABBAS AHMAD
Abbas est docteur en informatique, formateur accrédité ISTQB® et expert en tests logiciels depuis plus de six ans. Président de l’UAESTQB et PDG de Certilog FZCO, il accompagne les organisations dans la mise en œuvre de solutions de test efficaces, notamment dans l’IoT et l’IA. Contributeur à plusieurs projets européens sur la cybersécurité et le test de l’IA, il est également product owner de la certification ISTQB® “Tester avec l’IA générative”.
ETIENNE DUFOUR
With nearly 15 years of experience in software testing, Etienne supports the 350 testers at AXA France’s Test Guild with methods and tools. His current work focuses on digital accessibility and the use of generative AI to strengthen testing practices. Very involved in the community, he regularly shares his expertise at conferences such as JFTL.
Everything you need to know about training
Target audience
Teaching methods
Instructional tools
Assessment Methods
Accessibility
- Quality Engineers, QA Managers
- Testers, Testing Consultants
- Developers, Test Automation Engineers
- Product Owners, Project Managers
- Business Analysts
- …
- Remote/face-to-face depending on the session
- Needs analysis prior to training
- Adjustments during training based on trainee feedback
- Satisfaction survey at the end of training
- Teaching resources: Practical workshops, presentation materials, use of generative AI
- Teaching methods: Theoretical, active, questioning
- Required equipment: A computer equipped with a camera, microphone, and speakers or headphones. Google browser.
Practical workshops, presentation materials, use of generative AI.
Provision of the multi-LLM practice platform: Smartesting LLM Workbench.
Use of LLMs and AI tools for training:
GPT-5, GPT-5-mini, GPT-5-nano – OpenAI
Mistral Nemo and Large, Pixtral, Codestral – Mistral
Claude-4 in Opus, Sonnet, and Haiku versions – Anthropic
Gemini 2 Flash, Pro, and Thinking – Google
LLM Workbench, RAG Application, and AI Test Runner (AI agent) – Smartesting
The training will continuously evolve to integrate the most relevant technological advances, in line with the developments of the ISTQB® “Testing with Generative AI” certification.
- Several assessments will be carried out during the training to evaluate the degree of skills acquisition.
- A certificate of competence 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 an official exam and obtain an internationally recognized certificate at the end of the training through our partner Gasq.
- A preliminary interview will be arranged to tailor the training to your disability.
- Our instructors know how to adapt their teaching methods to different disabilities.
- Disability contact: Anne Kramer, +49 176 31239991 or anne.kramer@smartesting.com
Target audience
- Quality Engineers, QA Managers
- Testers, Testing Consultants
- Developers, Test Automation Engineers
- Product Owners, Project Managers
- Business Analysts
- …
Teaching methods
- Remote/face-to-face depending on the session
- Needs analysis prior to training
- Adjustments during training based on trainee feedback
- Satisfaction survey at the end of training
- Teaching resources: Practical workshops, presentation materials, use of generative AI
- Teaching methods: Theoretical, active, questioning
- Required equipment: A computer equipped with a camera, microphone, and speakers or headphones. Google browser.
Instructional tools
Practical workshops, presentation materials, use of generative AI.
Provision of the multi-LLM practice platform: Smartesting LLM Workbench.
Use of LLMs and AI tools for training:
GPT-5, GPT-5-mini, GPT-5-nano – OpenAI
Mistral Nemo and Large, Pixtral, Codestral – Mistral
Claude-4 in Opus, Sonnet, and Haiku versions – Anthropic
Gemini 2 Flash, Pro, and Thinking – Google
LLM Workbench, RAG Application, and AI Test Runner (AI agent) – Smartesting
The training will continuously evolve to integrate the most relevant technological advances, in line with the developments of the ISTQB® “Testing with Generative AI” certification.
Assessment Methods
- Several assessments will be carried out during the training to evaluate the degree of skills acquisition.
- A certificate of competence 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 an official exam and obtain an internationally recognized certificate at the end of the training through our partner Gasq.
Accessibility
- A preliminary interview will be arranged to tailor the training to your disability.
- Our instructors know how to adapt their teaching methods to different disabilities.
- Disability contact: Anne Kramer, +49 176 31239991 or anne.kramer@smartesting.com
Our partners
Our certifications
We Answer Your Questions
What is the difference between in-house and public training?
An in-house training session is organized exclusively for employees of the same company. It is customized to your specific needs and can take place on your premises.
A public training session brings together participants from different companies. It follows a standard program and encourages knowledge-sharing with professionals from various backgrounds.
What makes us experts in AI?
At Smartesting, innovation is at the heart of everything we do. We integrate AI directly into our solutions and continuously explore new ways to transform software testing practices. This innovation is driven by a dedicated R&D team and high-level academic partnerships. This dynamic motivates us to share our expertise through practical training, based on real-world use cases and feedback from our projects.
What funding options are available for the training?
- The training can be funded in different ways:
- Self-financing: you pay the training cost directly.
- Company funding: through your organization’s skills development plan.
- Via an OPCO (Competence Operator): your company’s OPCO can cover all or part of the training costs.
What are the benefits of an ISTQB®-certified training?
The ISTQB® certification is an international benchmark in the field of software testing. It enhances your professional profile, facilitates career growth towards specialized roles, and enables you to apply recognized methods to improve the quality and efficiency of testing. It is also an excellent way to join an active professional community and progress through the different certification levels.
Our selection of generative AI
At Smartesting, innovation is at the heart of our activities. We integrate AI in a practical way into our solutions and are constantly exploring new ways to transform software testing practices. This dynamic drives us to share our experience through practical training courses based on real use cases and feedback from our projects.
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