Artificial intelligence is rapidly reshaping software development and quality assurance. As AI-powered systems and generative AI tools become mainstream, testing professionals must upgrade their skills to stay relevant. The International Software Testing Qualifications Board (ISTQB) now offers two specialized AI-focused certifications:
●CT-AI – Certified Tester AI Testing
●CT-GenAI – Certified Tester – Testing with Generative AI
But which one is right for you? Let’s break down the differences, career paths, and decision factors to help you choose wisely.

What CT-AI Focuses On
CT-AI is centered on testing AI-based systems and understanding how artificial intelligence behaves in real-world applications.
It covers:
●Fundamentals of AI and machine learning
●Testing AI models and intelligent systems
●Validating model performance and accuracy
●Managing AI-related risks
●Using AI techniques to enhance testing processes
This certification is ideal if your work involves AI-driven products, such as recommendation engines, predictive analytics platforms, or machine learning systems.
Who Should Choose CT-AI?
CT-AI is best suited for:
●Testers working on AI-based systems
●Test analysts and automation engineers
●Data analysts involved in validation
●Developers building AI-enabled features
●QA managers overseeing AI projects
Prerequisite: You must hold the ISTQB Certified Tester Foundation Level (CTFL) certificate.
What CT-GenAI Focuses On
CT-GenAI is a cutting-edge specialist certification that focuses on using generative AI tools (like LLMs) to improve software testing.
It emphasizes practical skills such as:
●Applying prompt engineering techniques
●Generating test cases and test data with AI
●Automating test documentation and reporting
●Managing risks like hallucinations and bias
●Integrating AI tools into test infrastructure
Unlike CT-AI, which focuses on testing AI systems, CT-GenAI focuses on using generative AI to enhance the testing process itself.
Who Should Choose CT-GenAI?
CT-GenAI is ideal for:
●Test automation engineers
●QA professionals adopting AI tools
●Test managers leading AI-driven transformation
●Developers using generative AI for productivity
●IT leaders shaping AI adoption strategies
| Category | CT-AI | CT-GenAI |
| Primary Focus | Testing AI systems | Using generative AI in testing |
| AI Type | Machine learning & intelligent systems | Large language models & generative AI |
| Core Skills | Model validation, AI risk assessment | Prompt engineering, AI tool integration |
| Risk Topics | Model accuracy, explainability | Hallucination, bias, privacy concerns |
| Goal | Ensure AI systems work correctly | Improve testing efficiency using AI |
In simple terms:
●CT-AI = Testing Artificial Intelligence
●CT-GenAI = Testing with Artificial Intelligence
Ask yourself these questions:
Do you test AI-powered products?
If your organization builds or maintains AI-driven systems, CT-AI is the better choice.
Do you want to use generative AI tools in your testing workflow?
If you're interested in prompt engineering, automated test creation, and AI-assisted reporting, CT-GenAI is ideal.
Are you involved in AI strategy or transformation?
CT-GenAI provides strong insights into AI adoption and risk mitigation in QA processes.
Are you working closely with data scientists or ML engineers?
CT-AI will give you deeper understanding of model behavior and validation strategies.
Absolutely. In fact, combining both certifications gives you a powerful advantage:
●CT-AI builds your foundation in AI system validation
●CT-GenAI builds your expertise in AI-enabled testing transformation
Together, they position you as a next-generation QA leader who understands both sides of AI in software testing.
Earning CT-AI or CT-GenAI can help you:
●Transition into AI-focused QA roles
●Lead AI adoption initiatives
●Improve testing efficiency with automation
●Demonstrate future-ready expertise
●Stand out in competitive job markets
As AI continues reshaping software development, professionals who understand both AI systems and AI-powered tools will be in high demand.
Choose CT-AI if:
●You test AI-based systems
●You need deeper knowledge of machine learning validation
●You work closely with AI development teams
Choose CT-GenAI if:
●You want to use generative AI to enhance testing
●You’re leading AI-driven QA transformation
●You focus on automation and efficiency
If your goal is to become a well-rounded AI testing expert, pursuing both certifications may be the smartest long-term strategy.