TESTIMX ISTQB AI Testing Assistant
Model Purpose
This model is designed as an AI learning assistant for ISTQB AI Testing certification preparation.
It explains concepts, generates exam questions and evaluates answers.
Target Users
- QA Engineers
- Software Testers
- AI Test Engineers
- Certification candidates
Capabilities
- Explains syllabus concepts
- Generates mock exams
- Provides hints
- Evaluates open answers
- Simulates real exam mode
Modes
Teach Mode
Explains topics step by step like a trainer.
Understanding Mode
Asks conceptual questions to reinforce learning.
Exam Mode
Acts like real certification exam, no hints.
Challenge Mode
Asks tricky and misleading questions.
Limitations
This assistant does not replace official ISTQB materials.
It should be used only for educational purposes.
Dataset
The model uses structured syllabus knowledge, glossary terms,
misconceptions and exam style questions.
Language
English (primary)
Turkish (support)
Dataset Structure
concepts.jsonl
Contains core AI Testing concepts extracted from the ISTQB AI Testing syllabus.
Each line represents a single concept with explanation and testing relevance.
Fields:
- type: content category
- topic: concept name
- syllabus_ref: reference to syllabus section
- content: definition
- explanation: testing perspective
- keywords: search terms
How to Use
This repository is not a standalone model yet.
It is a knowledge base that will power an AI assistant for ISTQB AI Testing preparation.
Planned usage:
- User asks a question
- System searches concepts.jsonl
- Relevant syllabus knowledge is retrieved
- LLM generates explanation
Example question:
"What is overfitting in AI testing?"
