ISTQB Certified Tester AI Testing (CT-AI)

Advance your career in the AI field with the ISTQB® AI Testing (CT-AI) certification, and extend your understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI-based systems and using AI in testing.

Course Objectives:

• Understand the current state and expected trends of AI
• Experience the implementation and testing of a ML model and recognize where testers can best influence its quality
• Understand the challenges associated with testing
• AI-Based systems, such as their self-learning capabilities, bias, ethics, complexity, non-determinism, transparency, and explainability
• Contribute to the test strategy for an AI-Based system
• Design and execute test cases for AI-based systems
• Recognize the special requirements for the test infrastructure to support the testing of AI-based systems
• Understand how AI can be used to support software testing

Outline:

• Chapter 1: Introduction To AI
• Chapter 2: Quality Characteristics For Ai-based Systems
• Chapter 3: Machine Learning (ml) – Overview
• Chapter 4: Ml – Data
• Chapter 5: Ml Functional Performance Metrics
• Chapter 6: Ml – Neural Networks And Testing
• Chapter 7: Testing Ai-based Systems Overview
• Chapter 8: Testing Ai-specific Quality Characteristics
• Chapter 9: Methods And Techniques For The Testing Of Ai-based Systems
• Chapter 10: Test Environments For Ai-based Systems
• Chapter 11: Using Ai For Testing