This course is designed for you if you are:
Involved in testing
Looking to acquire a basic
understanding of testing
Anyone working with
Interested in obtaining the official
ISTQB® Certified Tester AI Testing certification
Plans and Pricing
If you would like to register your interest in the course and/or learn more, please pick your preferred plan and submit your details via one of the forms below.
We will be in touch as soon as the course is ready to launch.
Autonomous1/3 |
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Monthly course subscription |
Access to the training materials library |
Chat support |
Access to 250+ test questions |
Mock Exam at the end of the course, to track your progress |
Certificate upon course completion |
Tips on how to pass the exam |
20+ Q&A sessions with accredited expert |
6 hands-on Python workshops |
DatesContinuous enrolment |
Price£99/month |
Enrol Now |
Guided2/3 |
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6-week course (with additional 2 weeks of access to materials) |
Access to the training materials library |
Chat support |
Access to 250+ test questions |
Mock Exam at the end of the course, to track your progress |
Certificate upon course completion |
Tips on how to pass the exam |
20+ Q&A sessions with accredited expert |
6 hands-on Python workshops |
Dates13 January |
Price£800 |
Register |
Enterprise3/3 |
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Are you limited on time or have specific requests based on your current project? Let us adjust the course to your needs. Contact us. |
Autonomous |
Guided |
Enterprise |
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Course format | Monthly course subscription | 6-week course (with additional 2 weeks of access to materials) | Are you limited on time or have specific requests based on your current project? Let us adjust the course to your needs. |
Access to the training materials library | |||
Chat support | |||
Access to 250+ test questions | |||
Mock Exam at the end of the course, to track your progress | |||
Certificate upon course completion | |||
Tips on how to pass the exam | |||
20+ Q&A sessions with accredited expert | |||
6 hands-on Python workshops | |||
Enrolment dates | Continuous enrolment | 13 January | |
Price | £99/month | £800 | |
Still not sure?
Access the first chapter of the course via a one-week trial – check videos, slides, reading materials and test questions at no charge.
Get your trial - Access the first chapter at no cost.
Why choose us?
250+ practice questions*
Chat support with Expert
20+ hours Live sessions*
User-friendly platform
6 Hands-on Python Workshops*
Listen, Watch, Read formats
Mock Exam
English language
* Available in Guided and Enterprise plans
Our Team
ISTQB® Certified Tester AI Testing
A4Q 20-AIFL-171752-43
ISTQB® Certified Tester Foundation Level
iSQI 19-CTFL-151899-12
ISTQB® Certified Tester Foundation Level
GASQ ID 34720
ISTQB® Certified Tester AI Testing
ASTQB - ISTQB 24-CT-AI-00023-USA
ISTQB® Certified Tester Foundation Level
GASQ ID 759389
ISTQB® Certified Tester Foundation Level
GASQ ID 17465
Learning Goals
Discover ways to leverage the power of AI tools
Identify key points influencing the quality of ML models
Acquire a deep understanding of the testing complexity of AI systems
Gain hands-on experience
Apply different test strategies specific to AI systems
Develop and execute test cases for AI systems
Stay current with the latest AI advancements and emerging trends
Get better prepared for the official ISTQB® CT-AI Tester Exam
Information Hub
Read on to learn more about what to expect from the course.
At the end of the course, you will have the opportunity to take the Mock Exam to check your knowledge. Please mind that the official ISTQB® Certified Tester AI Testing (CT-AI) Exam is not included in the price.
The ISTQB® Certified Tester- AI Testing training course covers 11 chapters of the certification syllabus:
Chapter 1: Introduction to AI
- Definition of AI and AI effect
- Narrow, general and super AI
- AI-based and conventional systems
- AI technologies
- AI development frameworks
- Hardware for AI-based systems
- AI as a service
- Pre-trained models
- Standards, regulations and AI
Chapter 2: Quality Characteristics for AI-Based Systems
- Flexibility and adaptability
- Autonomy
- Evolution
- Bias
- Ethics
- Side effects and reward hacking
- Transparency, interpretability and explainability
- Safety and AI
Chapter 3: Machine Learning (ML) - Overview
- Forms of ML
- ML workflow
- Selecting a form of ML
- Factors involved in ML algorithm selection
- Overfitting and underfitting
Chapter 4: ML - Data
- Data preparation as part of the ML workflow
- Training, validation and test datasets in the ML workflow
- Dataset quality issues
- Data quality and its effect on the ML model
- Data labelling for supervised learning
Chapter 5: ML Functional Performance Metrics
- Confusion matrix
- Additional ML functional performance metrics for classification, regression and clustering
- Limitations of ML functional performance metrics
- Selecting ML functional performance metrics
- Benchmark suites for ML
Chapter 6: ML - Neural Networks and Testing
- Neural networks
- Coverage measures for neural networks
Chapter 7: Testing AI-Based Systems Overview
- Specification of AI-based systems
- Test levels for AI-based systems
- Test data for testing AI-based systems
- Testing for automation bias in AI-based systems
- Documenting an AI component
- Testing for concept drift
- Selecting a test approach for an ML system
Chapter 8: Testing AI-Specific Quality Characteristics
- Challenges testing self-learning systems
- Testing autonomous AI-based systems
- Testing for algorithmic, sample and inappropriate bias
- Challenges testing complex AI-based systems
- Challenges testing probabilistic and non-deterministic AI-based systems
- Testing the transparency, interpretability and explainability of AI-based systems
- Test oracles for AI-based systems
- Test objectives and acceptance criteria
Chapter 9: Methods and Techniques for the Testing of AI-Based Systems
- Adversarial attacks and data poisoning
- Pairwise testing
- A/B testing
- Back-to-back testing
- Metamorphic testing
- Experience-based testing of AI-based systems
- Selecting test techniques for AI-based systems
Chapter 10: Test Environments for AI-Based Systems
- Test environments for AI-based systems
- Virtual test environments for testing AI-based systems
Chapter 11: Using AI for Testing
- AI technologies for testing
- Using AI to analyse reported defects
- Using AI for test case generation
- Using AI for the optimisation of regression test suites
- Using AI for defect prediction
- Using AI for testing user interfaces
You can get the Course certificate after successfully completing the Mock Exam (with the pass mark of 65%) which you can place on Linkedin. Please note that this is not an official ISTQB® Certified Tester AI Testing (CT-AI) certificate.
Exactpro is an ISTQB®-accredited Training Provider for the Specialist Certified Tester AI Testing certification.
We recommend following the official ISTQB® Certified Tester AI Testing (CT-AI) Syllabus.
Exactpro is an award-winning provider of AI-enabled software testing and development services for mission-critical technology of the global financial markets.
Exactpro team has successfully tested and released into live service such complex financial systems as trading, clearing and settlement platforms, market data, collateral and risk management systems, as well as regulatory reporting systems. We are happy to share years of experience with you on this course.
Our specialists regularly conduct global educational events. Learn more about Exactpro at exactpro.com.