Are you preparing for the ISTQB Certified Tester AI Testing (CT-AI) certification? This course is your ultimate guide to mastering AI testing concepts and acing the exam. Designed to align perfectly with the ISTQB syllabus, it provides everything you need to build confidence and knowledge for this sought-after certification.

With 5+ full-length mock exams and 240+ expertly crafted practice questions, you’ll experience a testing environment that mirrors the actual exam. Each question is accompanied by detailed explanations, ensuring you understand the concepts behind the answers. The course covers every critical topic outlined in the syllabus, making it an all-in-one resource for passing the CT-AI exam.

Practice Tests aligned to the Course Content

1. Introduction to AI

AI Definitions and Frameworks

Narrow, General, and Super AI

Standards, Regulations, and Pre-trained Models

2. Quality Characteristics for AI-Based Systems

Ethics, Bias, and Safety in AI

Transparency, Adaptability, and Autonomy

3. Machine Learning Overview

Forms of ML and Workflow Essentials

Overfitting, Underfitting, and Dataset Management

4. Testing AI-Based Systems

Testing Neural Networks

Evaluating Functional and Non-functional Quality

Prepare for the ISTQB CT-AI certification with this top-rated course. With in-depth practice exams and expert content, you’ll be well on your way to acing the certification and advancing your career.

With this course structure and description, you can confidently attract a wide range of learners and professionals interested in ISTQB AI Testing certification.