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Our ISTQB® Foundation - AI For Testers training course will teach you to become proficient in the following. Including but not limited to:

  • Understanding the current state and expected trends of AI 
  • Experience the implementation and testing of a ML model and recognise 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 
  • Recognise 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 

Our ISTQB® Foundation - AI For Testers training course covers the following Modules:

Module 1: Introduction To A.I

  • Definition of A.I and A.I effect
  • Narrow, general and super A.I
  • A.I-based and conventional systems
  • A.I technologies
  • A.I Development Frameworks
  • Hardware for A.I-based systems
  • A.I as a service
  • Pre-trained Models
  • Standards, regulations and A.I

Module 2: Quality Characteristics Of A.I-Based Systems

  • Flexibility and adaptability
  • Autonomy
  • Evolution
  • Bias
  • Ethics
  • Side effects and reward hacking
  • Transparency and interpretability
  • Safety and A.I

Module 3: Machine Learning(ML) Overview

  • Forms of (ML)
  • (ML) Workflow
  • Selecting a form of (ML)
  • Factors involved in (ML) Algorithm selection
  • Overfitting and underfitting

Module 4: (ML) Data

  • Data preparation as part of (ML) workflow
  • Training, Validation and Test datasets in (ML) workflow
  • Dataset quality issues
  • Data quality and its effect on the (ML) model
  • Data labelling for supervised learning

Module 5: (ML) Functioning Performance Metrics

  • Confusion Matrix
  • Add (ML) functioning performance metrics for classification, regression and clustering
  • Limitations of (ML) functional performance metrics
  • Selecting (ML) functional performance metrics
  • Benchmark suites for (ML) performance

Module 6: (ML) Neural Networks And Testing

  • Neural Networks
  • Coverage measure for Neural Networks

Module 7: Testing A.I-Based Systems - Overview

  • Specifications of A.I-based systems
  • Test levels for A.I-based systems
  • Test Data for testing A.I-based systems
  • Testing for automation bias in A.I-based systems
  • Documenting an A.I-based component
  • Testing for concept drift
  • Selecting a test approach for an (ML) system 

Module 8: Testing A.I Specific Quality Characteristics

  • Challenges testing self-learning systems
  • Testing autonomous self-learning systems
  • Testing for algorithmic, sample and inappropriate bias
  • Challenges testing complex A.I-based systems
  • Testing transparency of A.I-based systems
  • Test oracles for A.I-based systems
  • Test objectives and acceptance criteria

Module 9: Methods And Techniques For The Testing Of A.I-Based Systems

  • Attacks and Data poisoning
  • Pairwise testing
  • A/B testing
  • Back-to-back testing
  • Metamorphic testing
  • Experience-based testing of A.I-based systems
  • Selecting test techniques of A.I-based systems

Module 10: Test Environments For A.I-Based Systems

  • Test environments for A.I-based systems
  • Virtual test environments of A.I-based systems

Module 11: Using A.I For Testing

  • A.I technologies for testing
  • Using A.I to analyse defect reports
  • Using A.I for test case generation
  • Using A.I for optimisation of regression test suites
  • Using A.I for defect prediction
  • Using A.I for testing user interface

Our ISTQB® Foundation - AI For Testers training course will benefit several individuals and organisations, including but not limited to:

  • Software Testers
  • Test Automation Engineers
  • Quality Assurance (QA) Professionals
  • Developers
  • Test Managers
  • AI and Machine Learning Professionals
  • Quality Analysts
  • Anyone involved in software testing, quality assurance, test automation, or software development can benefit from learning AI testing.

Our ISTQB® Foundation - AI For Testers training course contains the following:

  • Pre-reading
  • Course Manual
  • Quizzes
  • Exercises

Our ISTQB® Foundation - AI For Testers training course requires delegates to have experience at the level of our BCS Certificate In Software Testing course.

There is no recommended reading for our ISTQB® Foundation - AI For Testers training course.

ISTQB® Foundation - AI For Testers Exam:

  • Format: Multiple choice
  • Duration: 1 hour
  • Questions: 40
  • Pass score: 65% (26 out of 40).
Proctored Exam
ISTQB® Foundation - AI For Testers Certificate

Attendees may enjoy our training course three-day BCS Certificate In Software Testing training course.

Our three-day BCS Certificate In Software Testing training course will teach you the characteristics of software architecture that impact on software testing in the development lifecycle.

Using the ISTQB® Foundation training course as a base, the BCS Certificate In Software Testing training course develops and supplements core testing principles by considering the typical circumstances that anyone involved in testing encounters in the workplace.

Our ISTQB® Foundation - AI For Testers training course offers several benefits to individuals and organisations, including but not limited to:

  • Enhanced Test Automation: AI techniques can improve test automation by enabling intelligent test case generation, adaptive test execution, and self-healing test automation.
  • Improved Test Coverage: AI testing techniques can help identify and generate test cases that cover a broader range of scenarios and inputs.
  • Early Defect Detection: AI can aid in early defect detection by analysing data and identifying patterns that indicate potential issues.
  • Efficient Test Planning and Execution: AI techniques can assist in optimising test planning and execution processes.
  • Intelligent Test Result Analysis: AI can help in intelligent analysis of test results, making it easier to identify patterns, trends, and areas of concern.
  • Advanced Test Data Generation: AI techniques can assist in generating realistic and diverse test data for testing purposes.
  • Adaptability to Evolving Technologies: As AI continues to advance and become more prevalent in software development and testing, learning AI testing ensures that testers stay up-to-date with the latest trends and techniques.

INFORMATION

ISTQB® Foundation - AI For Testers Course Dates

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Now only £1999 + VAT

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Now only £1999 + VAT

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We Are Flexible

We try and be as flexible as we can and accommodate your needs. We can swap delegates at any time with no charge. We can also create bespoke content should this be required.

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We specialise in IT Service and Project Management. All of our Trainers and Consultants have considerable years of hands-on experience in IT Service / Project Management, working across a wide number of industry sectors.

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Our training, sales and admin staff are all professional, helpful, friendly and approachable. We believe in providing excellent customer service. You will always have a dedicated friendly Account Manager