Test ai with confidence
ISTQB AI Testing Training
Build the specialist skills needed to test AI-based systems, machine learning models, Generative AI and Large Language Models (LLMs) with accredited ISTQB AI Testing training.
The ISTQB Certified Tester AI Testing (CT-AI) course combines AI and machine learning fundamentals with practical testing approaches for evaluating data, models and AI-based systems.
Prepare for internationally recognised ISTQB CT-AI certification with practitioner-led training from Impimpi Technologies.
AI Testing Skills for Modern Testers
Learn How to Test AI-Based Systems
AI is changing software and changing how that software needs to be tested.
Unlike conventional systems, AI-based systems can be probabilistic, data-driven, difficult to explain and capable of producing outputs that are not always predictable. This creates new testing challenges around data quality, bias, model performance, robustness, expected results and risk.
Our ISTQB AI Testing training develops the knowledge and practical skills needed to understand these challenges and apply appropriate testing approaches throughout the AI and machine learning lifecycle.
You’ll explore how to test machine learning systems, input data, ML models, Generative AI and LLM-based systems while developing a structured approach to AI quality and risk.
Join live virtual training from across Africa, attend classroom training in South Africa, or arrange private corporate training for your team.
About the course
What Is ISTQB AI Testing?
The ISTQB Certified Tester AI Testing (CT-AI) certification is designed for professionals involved in testing AI-based systems.
CT-AI v2.0 introduces the fundamental concepts of artificial intelligence and machine learning before exploring how systems based on these technologies can be effectively tested.
The course covers the complete testing picture — from understanding AI technologies and quality characteristics to testing training data, machine learning models, Generative AI systems and AI deployment.
It also includes practical exercises that allow you to work with machine learning models, data preparation, performance metrics and specialist AI testing techniques.
120+
Countries recognise this certification
ISTQB CTFL
Required before taking the certification exam
7
Syllabus chapters covered over 3 days
65%
Pass mark required on the certification exam
syllabus
What Does the ISTQB AI Testing Course Cover?
The ISTQB CT-AI v2.0 syllabus contains seven examinable chapters and requires a minimum of 19.5 hours of accredited instruction.
Introduction to Artificial Intelligence
Understand the differences between conventional and AI-based systems and explore key AI technologies, including machine learning, Generative AI and modern AI development environments.
You’ll also examine AI model development and hosting, machine learning frameworks, and the influence of AI regulations and standards.
Quality Characteristics for AI-Based Systems
Explore the quality characteristics that become particularly important when testing AI.
Learn about AI functional correctness, adaptability, transparency, robustness, user controllability, intervenability, safety and societal and ethical risk, as well as how appropriate acceptance criteria can be established for AI-based systems.
Machine Learning
Develop a practical understanding of how machine learning systems are created and evaluated.
Topics include:
– Supervised, unsupervised and reinforcement learning
– The machine learning workflow
– Training, validation and test datasets
– Data preparation
– Pretrained models
– Fine-tuning
– Retrieval-Augmented Generation (RAG)
– ML functional performance metrics
– Neural networks
You’ll also work with metrics and practical machine learning exercises as part of the course.
Testing AI-Based Systems
Learn why testing AI-based systems requires different approaches from conventional software testing.
Explore locked and adaptive AI systems, statistical testing, test oracle challenges, risk-based testing and specialist test levels for machine learning systems.
This section also covers testing Generative AI and Large Language Models, including red teaming and exploratory testing.
Input Data Testing
Learn how the quality of data can influence the quality and behaviour of machine learning systems.
Explore techniques for testing:
– Data bias
– Data pipelines
– Data representativeness
– Dataset constraints
– Label correctness
– Input data quality
The syllabus also includes a hands-on input data testing exercise.
Machine Learning Model Testing
Develop specialist techniques for testing ML models and mitigating model-related risks.
You’ll explore:
– ML functional performance testing
– Adversarial testing
– Metamorphic testing
– Drift testing
– Overfitting and underfitting
– A/B testing
– Back-to-back testing
These approaches help testers evaluate model behaviour where traditional testing techniques may not be sufficient.
Machine Learning Development Testing
Understand testing within the broader ML development and deployment process.
Learn how testing strategies can address risks during the development and deployment of machine learning systems and support more robust behaviour in production.
COURSE INFORMATION
ISTQB AI Testing Training at a Glance
Training Duration
3-days
Training Delivery
Live Virtual | Classroom | Corporate
Accreditation
ISTQB & SASTQB Accredited
Exam Infomration
Prepare for the ISTQB CT-AI Exam With Confidence
Your training follows the official ISTQB Certified Tester AI Testing (CT-AI) v2.0 syllabus and prepares you for the internationally recognised certification exam.
Your Impimpi Technologies training package includes the ISTQB certification exam, official courseware, sample exam material and exam preparation support.
40 Questions
Multiple choice format
60 Minutes
+25% extra time for non-native speakers
65% Pass Mark
29 out of 44 points required
Prerequisite
ISTQB Foundation Level (CTFL) Certificate
WHY CT-AI
Why Get ISTQB AI Testing Certified?
AI is becoming part of more software products, services and business processes. That creates new testing challenges that traditional approaches alone may not fully address.
The ISTQB Certified Tester AI Testing (CT-AI) certification helps you build structured, internationally recognised knowledge for testing AI-based and machine learning systems.
Understand How AI Changes Testing
Learn why AI-based systems can require different testing approaches because of factors such as probabilistic behaviour, data dependency, adaptability and difficult-to-define expected results.
Build Machine Learning Testing Skills
Develop a stronger understanding of machine learning workflows, data preparation, model evaluation and the testing activities that apply throughout the ML lifecycle.
Test Data, Not Just Software
Learn how to identify risks involving bias, data quality, representativeness, labels and data pipelines that can directly affect the behaviour of machine learning systems.
Apply Specialist AI Testing Techniques
Build knowledge of approaches including adversarial testing, metamorphic testing, drift testing, A/B testing and back-to-back testing for evaluating machine learning models.
Test Generative AI & LLMs
Develop an understanding of how Generative AI and Large Language Models can be tested using approaches such as exploratory testing and red teaming.
Strengthen Your Professional Profile
Demonstrate internationally recognised specialist knowledge in AI testing, an area that is becoming increasingly relevant as organisations adopt AI-enabled technology.
Prepare for the Future of Software Testing
Build skills that complement your existing software testing foundation and help you contribute more confidently to the quality and risk management of modern AI-based systems.
WHO SHOULD ATTEND?
Who Is ISTQB AI Testing Training For?
The ISTQB AI Testing training is designed for software testing and technology professionals who want to understand how to test the quality, behaviour and risks of AI-based and machine learning systems.
Whether you are already working with AI-enabled software or want to develop specialist skills for the future, CT-AI provides a structured pathway into AI testing, covering machine learning, data and model testing, Generative AI, LLMs and specialist AI testing techniques.
Already in the Field?
If you already work in software testing, QA, development or data, CT-AI helps you extend your existing skills into AI-based systems and understand how traditional testing practices need to adapt for data-driven and probabilistic technologies.
New to AI Testing?
You don’t need to be an AI or machine learning expert to get started. The course introduces the essential AI and machine learning concepts before progressing into specialist testing approaches.
The course is particularly relevant for:
Why Impimpi Technologies
Why Choose Impimpi Technologies for ISTQB AI Testing Training?
AI may be changing software testing, but the fundamentals of quality still matter. At Impimpi Technologies, we combine specialist software testing expertise with practical, certification-focused training to help you build skills you can apply beyond the classroom.
Software Testing Is Our Speciality
We’re not a general technology training provider that also offers software testing. Software testing is what we do. Our training is built around the real skills and knowledge testing professionals need to grow their careers.
Practitioner-Led Training
Learn from experienced testing professionals who can connect the CT-AI syllabus to practical software testing scenarios, helping you understand not only the theory, but how it applies in the real world.
Practical, Hands-On Learning
CT-AI includes practical exercises across machine learning, data, LLM and model testing. We focus on helping you understand how to apply AI testing concepts, not simply memorise them for an exam.
Certification-Focused Support
Your training is structured around the official ISTQB CT-AI v2.0 syllabus, with courseware, sample exam material and exam preparation support to help you approach your certification with confidence.
Training That Fits Around You
Join live virtual training from across Africa, attend classroom training in South Africa, or arrange private corporate training for your organisation.
More Than Exam Preparation
Certification matters, but so does understanding how to apply what you’ve learned.
Our goal is to help you understand the concepts, not simply memorise them for an exam.
After ISTQB CT-AI
Continue Building Your AI & Testing Skills
Completing the ISTQB Certified Tester AI Testing (CT-AI) certification gives you specialist knowledge for testing AI-based and machine learning systems. From here, you can continue developing your expertise based on the direction you want your software testing career to take.
Learn how to use Generative AI within software testing for activities such as test analysis, test design, automation and reporting. This is a strong complement to CT-AI: CT-AI focuses on testing AI, while CT-GenAI focuses on using AI for testing. The CT-AI v2.0 syllabus specifically separates these areas.
Take your test analysis and design skills further with advanced techniques for risk-based testing, test analysis, test design and quality evaluation.
Build specialist knowledge in designing, developing and maintaining effective test automation solutions as you expand your technical testing capabilities.
FREQUENTLY ASKED QUESTIONS
ISTQB AI Testing Training FAQs
Find answers about ISTQB CT-AI training, certification and prerequisites.
Build the Skills to Test the Future of Software
As AI, machine learning and Generative AI become part of more software systems, testing professionals need the skills to understand the new quality challenges they introduce.
Develop practical AI testing skills and prepare for your ISTQB Certified Tester AI Testing (CT-AI) certification with specialist training from Impimpi Technologies.
Learn how to test AI. Build your specialist expertise. Stay ahead of what’s next.