Live Virtual Course: Certified Tester AI Testing (CT-AI)

The ISTQB Certified Tester AI Testing (CT-AI) course builds on Foundation Level knowledge. You’ll learn how to adapt to AI technologies, enhancing your testing capabilities, and drive innovation in your processes. 

Gain the skills to excel in AI-driven software testing
This course covers AI fundamentals, machine learning, and advanced testing techniques. You’ll gain practical skills to address AI challenges, ensure system reliability, and navigate ethical considerations for effective testing of AI-based systems. 

Learning objectives

• Understand AI concepts, trends, and differences from conventional systems 
• Address challenges, develop strategies, and execute tests for AI systems 
• Learn machine learning (ML) methods, design, train, and validate ML models 
• Explore neural networks, deep neural networks, and coverage measures 
• Perform data preparation and address quality issues for ML 
• Apply techniques like pairwise, exploratory, and metamorphic testing 
• Use metrics to evaluate ML models and their limitations 
• Adapt test environments for AI systems, including virtual environments 
• Explore AI's role in defect analysis and regression optimisation 
• Address ethical issues and mitigate risks in AI testing 

What you'll learn
This globally recognised certification teaches you essential AI concepts, testing strategies, and machine learning methods. You’ll gain practical skills to address challenges, optimise processes, and ensure ethical, reliable testing, equipping you to deliver efficiency, innovation, and high-quality AI solutions for your business. 

AI concepts and testing strategies

• Discover AI concepts, trends, and system differences while mastering strategies to that help you tackle issues such as bias, ethics, and transparency. You’ll also learn how to develop and execute effective test cases for AI-based systems.

Machine learning and neural networks

• Understand machine learning methods, from supervised to reinforcement learning. Design, train, and validate models, explore neural networks, and address data quality issues that help you ensure accurate and reliable AI testing outcomes.

Testing techniques and metrics

• Apply advanced techniques including exploratory and metamorphic testing. Use performance metrics which will help you to evaluate models, optimise regression testing, and mitigate risks. Ensuring you can deliver robust, business-ready AI solutions.

What's included

• Accredited ISTQB Certified Tester AI Testing training  
• All accompanying course material    
• ISTQB Certified Tester AI Testing exam 

Who it’s for
Professionals working on AI-driven projects. The course builds on ISTQB Foundation knowledge, focusing on testing AI-based systems and leveraging AI for effective software testing practices.  

Prerequisites
You need to hold an ISTQB Foundation certificate. It is also recommended that you have 18 months of practical experience in testing. 

Exam information
60 minutes, 40 multiple-choice questions, closed book, 65% pass mark. See FAQs for guidance on booking your exam. 

Remote proctored exam
Take your exam from any location. Read about ISQi remote proctored exam here

Optional extras
Pass Protect. 

Pre-course
There is no pre-course work for this training course.