ISTQB Certified Tester AI Testing (CT-AI) - Online Classroom (Exam Included)
2.650,00 EUR
- 4 days
The ISTQB Foundation in AI Software Testing course builds on the knowledge gained at the Foundation level and prepares professionals for the role of an AI Tester. Delivered over four tutor-led days, the course combines lectures, hands-on exercises, and exam preparation. The certification exam is typically scheduled shortly after the course, allowing time for review. This course is fully accredited by UKITB on behalf of ISTQB and aligns with SFIAplus Level 3 (BCS).
Key Features
Language
Course and material are in English
Level
Intermediate level for professionals
4 Days online classroom
8 hours per day with a certified trainer and Interactive exercises
Method
Multimedia presentations, group exercises and discussions, practical workshops, case study.
Material
All accompanying course materials in digital
Study time
50 hours of study time recommended
Exam voucher included
Official ISTQB (CT-AI) exam included. Scheduled anytime, valid for 1 year
Certification included
for ISTQB Certified Tester AI Testing (CT-AI)
Why ISTQB?
ISTQB certifications are designed to enhance software quality by promoting globally recognized best practices in testing. These certifications equip professionals with the essential skills and knowledge to carry out testing activities effectively, contributing to the delivery of high-quality, reliable software. By completing an ISTQB course, you'll adopt a consistent, structured approach to software testing, helping reduce risk and instill greater confidence in your development processes.
Demonstrate Your Testing Proficiency with ISTQB
As the world’s leading software testing certification body, the International Software Testing Qualifications Board (ISTQB) offers courses that are continually updated to reflect the evolving demands of the industry. These programs provide learners with a comprehensive understanding of modern testing practices and the standardized terminology essential for a successful career in software testing.
Learning Outcomes
At the end of this course, you will be able to:
Understand AI Fundamentals & Trends
Grasp the basics of AI, its evolution, categories (narrow, general, super), and current industry trends.
Differentiate AI from Traditional Systems
Identify how AI-based systems differ from conventional software in design, function, and complexity.
Explore ML Concepts & Model Building
Learn about supervised, unsupervised, and reinforcement learning; create, train, and evaluate ML models.
Manage Data & Evaluate Model Quality
Handle data preparation, detect bias, and apply appropriate metrics to assess ML model performance.
Address Testing Challenges in AI
Tackle AI-specific challenges such as non-determinism, explainability, ethical concerns, and concept drift.
Design and Execute AI Test Strategies
Build test plans, derive test cases, and apply diverse test techniques (e.g., metamorphic, A/B, pairwise).
Leverage AI to Support Testing Activities
Understand how AI can enhance test automation, defect prediction, and test optimization.
Implement Real-World Testing Scenarios
Practice using tools, labs, and realistic AI systems to simulate professional AI testing tasks.
Navigate Infrastructure Needs for AI Testing
Recognize specialized infrastructure and environments required for AI system testing.
Prepare for Advanced AI Testing Roles
Demonstrate readiness for roles in AI-focused testing projects with strong theory and hands-on expertise.
Course timeline
AI Foundations and Test Strategies
Lesson 1
Explore the fundamentals of AI, emerging trends, and how AI systems differ from traditional software. Learn to address key concerns like bias, ethics, and explainability, while developing test cases tailored for AI-driven applications.
Machine Learning and Neural Networks
Lesson 2
Dive into core machine learning techniques, including supervised, unsupervised, and reinforcement learning. Gain hands-on experience with model development, neural networks, and data preparation to support high-quality AI testing.
Testing Methods and Evaluation Metrics
Lesson 3
Master a range of testing approaches, such as exploratory and metamorphic testing. Leverage key performance metrics to assess model accuracy, enhance regression test coverage, and ensure secure, scalable AI systems for real-world use.
Who Should Enroll in this Program?
This course is ideal for professionals currently working on or planning to join AI-focused projects. It is tailored for those looking to apply foundational software testing concepts in AI contexts.The Certified Tester in AI Testing (CT-AI) qualification suits individuals who want to deepen their understanding of AI and machine learning, particularly in testing AI systems or leveraging AI in software testing.
Software Testers
QA Engineers
Test Automation Engineers
AI/ML Engineers
Software Developers
Exam Details
Prerequisites
- To be eligible for the AI for Testers qualification, candidates must already hold the ISTQB Foundation Certificate.
- Additionally, it is recommended that they have at least 18 months of experience in software testing.
Exam Format
- The examination consists of a one-hour exam with 40 multiple choice questions.
- It will be a ‘closed book’ examination i.e. no notes or books will be allowed into the examination room.
- Duration of 60 minutes (or 75 minutes for candidates taking examinations that are not in their native language). The pass mark is 65% (31 out of 47 points).
- Exam is included in the price
Statements
Licensing and accreditation
ISTQB CT-AI training course offered by ILX Ltd Partner Program Agreement.
Equality policy
Candidates are encouraged to reach out to ISTQB for guidance and support throughout the accommodation process.
Frequently Asked Question
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