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Exam Information
Official specifications published by ISTQB
Exam Format
60 min
40
65%
Specialist
Registration
$199 USD
Pearson VUE, iSQI FLEX, or online proctoring
Validity
Lifetime
No recertification required - certification does not expire
CT-GENAI Exam Topics and Domains
CT-GENAI is organized into 5 weighted domains. Expect to work with ChatGPT, Claude, Gemini, GitHub Copilot.
1
Introduction to Generative AI for Software Testing
12%
Generative AI Foundations and Key Concepts
AI Spectrum: Symbolic AI, Classical Machine Learning, Deep Learning, and Generative AIBasics of Generative AI and LLMsFoundation, Instruction-Tuned and Reasoning LLMsMultimodal LLMs and Vision-Language Models
Leveraging Generative AI in Software Testing: Core Principles
Key LLM Capabilities for Test TasksAI Chatbots and LLM-Powered Testing Applications
2
Prompt Engineering for Effective Software Testing
43%
Effective Prompt Development
Structure of Prompts for Generative AI in Software TestingCore Prompting Techniques for Software TestingSystem Prompt and User Prompt
Applying Prompt Engineering Techniques to Software Test Tasks
Test Analysis with Generative AITest Design and Test Implementation with Generative AIAutomated Regression Testing with Generative AITest Control and Monitoring with Generative AISelecting Appropriate Prompting Techniques
Evaluate Generative AI Results and Refine Prompts
Metrics for Evaluating Generative AI ResultsTechniques for Evaluating and Iteratively Refining Prompts
3
Managing Risks of Generative AI in Software Testing
20%
Energy Consumption and Environmental ImpactImpact of GenAI on Energy Consumption and CO2 Emissions
AI Regulations, Standards, and Best Practice FrameworksAI Regulations, Standards and Frameworks Relevant to GenAI in Testing
Hallucinations, Reasoning Errors and Biases
Understanding Hallucinations, Reasoning Errors and BiasesIdentifying Hallucinations, Reasoning Errors and BiasesMitigation Techniques for GenAI Hallucinations and ErrorsMitigation of Non-Deterministic Behavior
Data Privacy and Security Risks
Data Privacy and Security Risks with Generative AIData Privacy and Vulnerabilities in GenAI for TestingMitigation Strategies for Data Privacy and Security
4
LLM-Powered Test Infrastructure for Software Testing
13%
Architectural Approaches for LLM-Powered Test Infrastructure
Key Architectural Components and ConceptsRetrieval-Augmented Generation (RAG)LLM-Powered Agents in Automating Test Processes
Fine-Tuning and LLMOps
Fine-Tuning LLMs for Test TasksLLMOps: Deploying and Managing LLMs
5
Deploying and Integrating Generative AI in Test Organizations
12%
Roadmap for Adoption of Generative AI in Software Testing
Risks of Shadow AIKey Aspects of a Generative AI StrategySelecting LLMs/SLMs for Software Test TasksPhases when Adopting Generative AI in Testing
Building Generative AI Capabilities in Test Teams
Essential Skills and Knowledge for Testing with GenAIBuilding Generative AI Capabilities in Test TeamsEvolving Test Processes in AI-Enabled Organizations
How do I earn this certification?
Passing CT-GENAI earns the ISTQB Certified Tester - Testing with Generative AI (CT-GenAI) certification. It sits in the Specialist Certifications track.
Current Level Exams
Next Level Options
- CTAL-TA - ISTQB Certified Tester Advanced Level - Test AnalystFocuses on test analysis, design techniques, and quality characteristics
- CTAL-TTA - ISTQB Certified Tester Advanced Level - Technical Test AnalystFocuses on technical testing, white-box techniques, and non-functional testing
- CTAL-TM - ISTQB Certified Tester Advanced Level - Test ManagerFocuses on test management, planning, monitoring, and control
- CTAL-TE - ISTQB Certified Tester Advanced Level - Test Engineering Focuses on test engineering practices and methodologies
- CTEL - ISTQB Certified Tester Expert Level Highest level of ISTQB certification for experienced test professionals
Alternative Paths
- CT-AI - Certified Tester - AI TestingComplementary certification focusing on testing AI-based systems (inverse of CT-GenAI which uses AI for testing)
- CT-TAE - Certified Tester - Test Automation EngineerEnhances automation skills that complement GenAI-powered test automation
- CTFL-AT - ISTQB Certified Tester Foundation Level - Agile TesterGenAI tools are increasingly used in Agile/DevOps contexts
- CT-SEC - Certified Tester - Security Testing Understanding security is important when using GenAI (data privacy, prompt injection)
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
The most effective way to prepare for CT-GENAI is by using the PlanetCert Simulator to practice questions and review detailed explanations.
What's changed on this exam?
Current Status
- ACTIVE
- Last content update: 2025-07-25
- Announcement date: 2025-07-29
Updates
- Large Language Models (LLMs) 2025 generation CT-GenAI covers GPT-4, Claude 3, Gemini 2.0 and similar models released through mid-2025 • Release date: 2025
- Prompt Engineering Techniques Current best practices Exam covers zero-shot, few-shot, prompt chaining, meta prompting as of syllabus approval • Release date: 2025
- RAG (Retrieval-Augmented Generation) Current architectures Chapter 4 covers RAG fundamentals and implementation approaches • Release date: 2025
- AI Regulations EU AI Act, ISO 42001, NIST AI RMF Chapter 3.4 covers latest AI regulations and frameworks relevant to testing • Release date: 2024-2025
Who should take this exam?
This exam is typically taken by Testers and Test Analysts.
Exam Code: CTFL; Exam Name: ISTQB Certified Tester Foundation Level; Vendor: ISTQB
- Basic familiarity with APIs, JSON, HTTP, and CI/CD tools (highly recommended but not required)
- Hands-on exposure to a GenAI system like a chatbot, code assistant, or image generator (helpful but optional)