About This Course
This course provides foundational knowledge of AI testing based on the ISTQB® Certified Tester Foundation Level – AI Testing (CT-AI) syllabus. Participants will learn the fundamentals of artificial intelligence and machine learning, understand the unique challenges involved in testing AI-based systems, and explore how AI can enhance software testing activities. The course covers AI quality characteristics, risk-based testing, ethics, explainability, and exam preparation, equipping learners with the knowledge required for AI testing projects and certification success.
AI Testing Fundamentals
Understand AI and machine learning concepts and their impact on software testing.
Testing AI Systems
Learn how to evaluate AI-based applications, models, and intelligent systems effectively.
AI-Powered Testing
Explore how artificial intelligence can improve test automation and testing processes.
Certification Preparation
Build the knowledge needed to prepare for the ISTQB CT-AI certification exam.
Course Curriculum
• Introduction to Artificial Intelligence
• Introduction to Machine Learning
• AI Terminology and Concepts
• Types of Machine Learning
• AI Applications in Software Testing
• Characteristics of AI Systems
• AI Testing Challenges
• AI vs Traditional Software Testing
• Test Oracles for AI Systems
• Bias and Explainability
• AI Test Data Management
• AI-Assisted Testing
• Test Generation with AI
• Test Prioritization Techniques
• Automated Test Maintenance
• Practical AI Testing Tools
• Test Levels for AI Systems
• Test Types for AI Solutions
• AI Testing Techniques
• Coverage Metrics
• Machine Learning Model Evaluation
• Managing Uncertainty
• Functional Quality Characteristics
• Non-Functional Quality Characteristics
• Accuracy and Robustness
• Fairness and Transparency
• Ethics in AI Systems
• Reliability Assessment
• Risk-Based Testing
• AI Risk Identification
• AI Risk Mitigation
• Test Prioritization Methods
• Managing AI-Specific Risks
• AI Testing Tools
• Validation Frameworks
• Data Pipelines
• Test Environments
• Continuous Testing
• AI Project Infrastructure
• ISTQB CT-AI Exam Structure
• Practice Questions
• Certification Preparation
• Exam Techniques
• Revision and Review
Skills You'll Gain
Develop practical skills that can be applied immediately in real-world trading scenarios.
Registration & Pricing
Everything you need to know before enrolling.
Feedback

Course Features
- Lectures 0
- Quizzes 0
- Duration 60 hours
- Skill level All levels
- Language English
- Students 10
- Assessments Yes







