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The course is structured according to the ISTQB® AI Testing syllabus. This way you can compare the topics covered in the course with the syllabus.
- 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