Key Aspects of Artificial Intelligence 

  • What are Human Intelligence and Artificial Intelligence?  
  • History of AI  
  • Symbolic AI  
  • Sub-symbolic AI  
  • Some ML Algorithms in More Detail  
  • Applications and Limits of AI  

 Testing Artificial Intelligence Systems 

  • General Problems with Testing AI Systems 
  • Machine Learning Model Training  
  • Testing AI Test Environments  
  • Strategies to Test AI-based Systems  
  • Metrics for Testing AI-based Systems  

Common Test Types and Test Process for Mobile Applications 

  • AI in Testing 
  • Applying AI to Testing Tasks 
  • Quality Management AI in Component Level Test Automation 
  • AI in Integration Level or System Level Test Automation 
  • AI-based Tool Support for Testing  

Relevant Metrics in an AI-Based Testing Approach 

  • Assess Tool Vendor Claims 
  • Configuration of the Systems 
  • Return on Investment (ROI) 
  • Effects on Existing Processes 
  • Sensibility of Test Cases 
  • Test Case Explosion 
  • Maintainability 
  • Severity of the Defects Found 

Intended Audience 

  • Software Testers 
  • QAs 
  • Test Automation Engineers 
  • Test Architects 
  • Test Managers 
  • Software Developers 


Course Duration: 2 days

Get InfoPurchase

Send me more information about

ISTQB® AI Testing

    Business Outcomes 

    Individuals who hold the ISTQB® Certified Tester- AI Testing certification should be able to accomplish the following business outcomes:

    • 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

    About the Course

    The ISTQB® AI Testing (CT-AI) certification extends understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI-based systems and using AI in testing.