BICSI ISTQB Certified Tester AI Testing (CT-AI) V1.0 : CTAT
- Exam Code: CTAT
- Exam Name: ISTQB Certified Tester AI Testing (CT-AI) V1.0
- Updated: Oct 23, 2026
- Q & A: 0 Questions and Answers
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About BICSI ISTQB Certified Tester AI Testing (CT-AI) V1.0 : CTAT Exam
Open it once online, practice offline thereafter. The BICSI ISTQB Certified Tester AI Testing (CT-AI) V1.0 online engine from TorrentVCE keeps your CTAT simulation running without network — 0 questions, zero interruptions in 2026.
BICSI CTAT Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Methods and Techniques for Testing AI-Based Systems | - Pairwise Testing - Adversarial Attacks and Data Poisoning
- A/B Testing - Experience-Based Testing of AI-Based Systems
- Back-to-Back Testing |
| Topic 2: Quality Characteristics for AI-Based Systems | - Side Effects and Reward Hacking - Evolution - Safety and AI - Ethics - Autonomy - Bias - Transparency, Interpretability and Explainability - Flexibility and Adaptability |
| Topic 3: Machine Learning Functional Performance Metrics | - Selecting ML Functional Performance Metrics - Benchmark Suites for ML - Limitations of ML Functional Performance Metrics - Additional ML Functional Performance Metrics for Classification, Regression and Clustering - Confusion Matrix |
| Topic 4: Testing AI-Based Systems Overview | - Documenting an AI Component - Test Levels for AI-Based Systems
- Testing for Concept Drift - Specification of AI-Based Systems - Selecting a Test Approach for an ML System - Testing for Automation Bias in AI-Based Systems |
| Topic 5: Testing AI-Specific Quality Characteristics | - Challenges Testing Probabilistic and Non-Deterministic AI-Based Systems - Challenges Testing Self-Learning Systems - Challenges Testing Complex AI-Based Systems - Testing for Algorithmic, Sample and Inappropriate Bias - Test Oracles for AI-Based Systems - Testing Autonomous AI-Based Systems - Test Objectives and Acceptance Criteria - Testing the Transparency, Interpretability and Explainability of AI-Based Systems |
| Topic 6: Machine Learning (ML) Overview | - Selecting a Form of ML - Overfitting and Underfitting
- ML Workflow |
| Topic 7: Introduction to AI | - AI-Based and Conventional Systems - Standards, Regulations and AI - Definition of AI and AI Effect - Narrow, General and Super AI - AI as a Service (AIaaS)
- AI Development Frameworks - AI Technologies - Pre-Trained Models
|
| Topic 8: Machine Learning Data | - Dataset Quality Issues - Data Labelling for Supervised Learning
- Training, Validation and Test Datasets in the ML Workflow |
| Topic 9: Using AI for Testing | - Using AI for Defect Prediction - Using AI for Test Case Generation - Using AI for Testing User Interfaces
- Using AI to Analyze Reported Defects - Using AI for the Optimization of Regression Test Suites |
| Topic 10: Machine Learning Neural Networks and Testing | - Neural Networks - Coverage Measures for Neural Networks |
| Topic 11: Test Environments for AI-Based Systems | - Test Environments for AI-Based Systems - Virtual Test Environments for Testing AI-Based Systems |
BICSI ISTQB Certified Tester AI Testing (CT-AI) V1.0 Exam — FAQ
60 (75 minutes for eligible candidates taking the exam in a non-native language), 40 questions — that's your time budget. Rehearse it: the TorrentVCE online engine runs simulation tests with automatic settings, so pacing becomes trained, not lucky.
Files arrive first: our system emails your purchase within a minute of successful payment — unlimited installations, and 24/7 support if nothing shows up within 2 hours (check spam). Failure is covered too: take the corresponding CTAT exam within 60 days of purchase, and if you don't pass, submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam for a full refund, processed within 7 days. Exclusions: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. You can also choose a free replacement — two other products of equal value.
ISTQB Certified Tester Foundation Level (CTFL) certification is required. Completion of an accredited training course is not mandatory. Eligibility rules change from time to time, so confirm the current requirements on the official page (official CTAT exam page) before booking.
The BICSI ISTQB Certified Tester AI Testing (CT-AI) V1.0 blueprint spans 11 domains — including Machine Learning Functional Performance Metrics, Testing AI-Based Systems Overview, Machine Learning Data. The weightings are your study map: allocate hours where the points are. Every subtopic appears in the outline above.
Yes — download the free CTAT demo before buying and assess the quality and reliability yourself; it's the best way to avoid wasting money on bootless material. Purchases include 365 days of free updates, renewable later at half price.
The BICSI ISTQB Certified Tester AI Testing (CT-AI) V1.0 is BICSI's certification exam for BICSI Certification, at the Specialist level. Passing it demonstrates proficiency with specific technologies — a credential employers from small business to enterprise recognize. Related credentials include ISTQB Certified Tester Foundation Level (CTFL), ISTQB Certified Tester Advanced Level, ISTQB Certified Tester Specialist.
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