Certified Tester Testing with Generative AI — Requirements & Free Practice
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Certified Tester Testing with Generative AI
Professional certification in using generative AI for software testing, offered through ASTQB and AT*SQA.
Licensing authority: American Software Testing Qualifications Board · Application information
Initial by examination
- Applicability
- Current official ISTQB and ASTQB materials adopt English syllabus v1.1 as of this investigation; unpublished certification, route and version effective-date boundaries remain null.
- Award
- Pass the CT-GenAI certification examination; 30 of 46 points is the published passing score.
- Preparation
- Accredited training or self-study; a training course is not mandatory.
- Prerequisite
- The ISTQB Certified Tester Foundation Level (CTFL) certificate must already be held before taking CT-GenAI; no experience substitution is stated in the current applicable sources. This existing prior qualification does not instruct a second CTFL examination sitting or create a CTFL production task.
- Scheduling
- Register through AT*SQA; use the purchased code within 365 days, without extensions. Choose a testing center or online proctored appointment. Online availability is throughout the week, 24 hours a day, subject to scheduling. Extended-time non-native-language candidates select EXT. Request special accommodations at least one month ahead; reschedule online more than 24 hours ahead and testing-center appointments more than 72 hours ahead; a $90 fee applies inside the rescheduling fee window.
Certified Tester Testing with Generative AI
- Provider
- ASTQB examination delivered through AT*SQA; ISTQB certification scheme
- Format
- Multiple-choice examination in English
- Exam questions
- Total questions: 40.
- Time limit
- 60 minutes; 75 minutes for eligible non-native-language candidates
- Passing score
- 30 of 46 points (at least 65%)
Examination outline
Introduction to Generative AI for Software Testing (17.5%)
- Generative AI Foundations and Key Concepts
- Leveraging Generative AI in Software Testing: Core Principles
Prompt Engineering for Effective Software Testing (27.5%)
- Effective Prompt Development
- Applying Prompt Engineering Techniques to Software Test Tasks
- Evaluate Generative AI Results and Refine Prompts for Software Test Tasks
Managing Risks of Generative AI in Software Testing (25%)
- Hallucinations, Reasoning Errors and Biases
- Data Privacy and Security Risks of Generative AI in Software Testing
- Energy Consumption and Environmental Impact of Generative AI in Software Testing
- AI Regulations, Standards and Best Practice Frameworks
LLM-Powered Test Infrastructure for Software Testing (12.5%)
- Architectural Approaches for LLM-Powered Test Infrastructure
- Fine-Tuning and LLMOps: Operationalizing Generative AI for Software Testing
Deploying and Integrating Generative AI in Test Organizations (17.5%)
- Roadmap for the Adoption of Generative AI in Software Testing
- Manage Change when Adopting Generative AI for Software Testing
Examination sources
- ISTQB CT-GenAI Syllabus
p.10, 0.6 The Certified Tester Testing with Generative AI Certificate Exam
- ISTQB: CT-GenAI
Overview and Download Materials / Syllabus
- ISTQB Exam Structures and Rules Tables
p.25, CT-GenAI content allocation table
- ISTQB Exam Structures and Rules
p.8, 4.1.1
- ASTQB: Testing with Generative AI
ISTQB Testing with Generative AI Syllabus, download link target ISTQB-CT-GenAI-Syllabus-v1.1.pdf
- ISTQB: CT-GenAI
Exam Structure
- ISTQB Exam Structures and Rules
p.9, 5.1.2
- ISTQB Exam Structures and Rules Tables
p.25, CT-GenAI chapter totals and point columns
- ASTQB: Testing with Generative AI
Registration link following learning outcomes
- AT*SQA: Purchase
Certification exam purchase options, Testing With Generative AI
- AT*SQA: Exam Instructions
General Instructions / Information
- AT*SQA: Exam Instructions
General Instructions / Information, scheduling and accommodations bullets
- AT*SQA: Exam Instructions
General Instructions / Information, rescheduling bullets