• info@sajoacademy.com
  • +91 9890 674 675

ISTQB Certified Tester - AI Testing (CT-AI)

Advance your career by gaining highly sought-after CT-AI certificate and become one of the few testing professionals who understand AI systems.

  • Learn AI-based systems testing essentials 
  • Master ML testing and understand quality metrics to evaluate  
  • Detect bias and risks by applying AI testing techniques
  • Using AI-based systems AI for testing
View Schedule
Download Syllabus

What will I learn?

  • Understand the current state, techniques and trends in Artificial Intelligence (AI) and machine learning (ML) in the context of testing. 
  • Analyse the unique quality characteristics of AI-based systems: bias, transparency, adaptability, non-determinism and more. 
  • Apply testing strategies specific to AI/ML systems — from data pipelines and models to production monitoring.
  • Design and execute test cases for AI-based systems and use AI techniques to optimise and augment testing.
  • Evaluate and select ML functional performance metrics, neural-network coverage measures and other specialised metrics.
  • Lead the testing infrastructure and environment setup required for AI systems — including virtual simulation, data quality and test environment management.

This course includes:

  • Access to Online Live Class
  •  High quality study material
  •   Exam registration assistance
  •    100% achievement assurance
  •  Dedicated support
  •   Course completion certificate 
  •  Course access for 1 year

Know Your Instructor

Sagar Joshi

Instructor - Software Testing

ISTQB Accredited Trainer | Software Testing Expert

Course Curriculum

ISTQB Certified Tester - AI Testing (CT-AI)

Who is this course for? 

  • Testers, test analysts, test engineers, test consultants who are working (or will work) with AI-based systems. 
  • Test managers and architects looking to add AI-testing expertise or supervise AI systems testing. 
  • Developers and data analysts wanting to understand testing implications of ML/AI systems. 
  • Quality assurance professionals, project managers, business analysts and operations team members who want a grounding in AI testing and assurance. 

Entry requirements

  • Candidates should have the ISTQB Foundation Level certification.
  • It is recommended that participants have basic understanding of software testing principles and some exposure to ML/AI concepts is helpful.

Course Description

This comprehensive course is designed for professionals who want to master the emerging field of AI testing and gain a globally recognised ISTQB CT-AI certification.

Artificial Intelligence is rapidly becoming a core component of modern software systems, from recommendation engines and autonomous systems to fraud detection, natural language processing, and predictive analytics. As AI systems evolve, traditional testing alone is no longer sufficient. The ISTQB AI Testing course equips you with the specialised knowledge needed to understand, assess, and validate AI-based systems, ensuring they behave reliably, ethically, and consistently in real-world conditions.

The curriculum provides a structured introduction to AI and machine learning concepts, focusing on how these technologies differ from conventional software. You will learn how data influences system behaviour, how models are trained and evaluated, and how quality risks arise in non-deterministic systems. The course also explores the unique characteristics of AI systems, such as bias, transparency, adaptability, and robustness. Understanding these attributes is essential for identifying potential failures that may arise not from code defects but from data issues, model limitations, or unexpected behaviours in production.

A major portion of the course is dedicated to practical AI testing strategies. You will study methods for testing data pipelines, validating ML models, designing test cases for self-learning algorithms, and applying techniques such as metamorphic testing, adversarial testing, and exploratory testing of AI outputs. These approaches help you uncover issues that cannot be detected through traditional test techniques. You will also learn how to evaluate AI performance using model metrics like accuracy, precision, recall, and F-scores, and how to interpret these metrics in testing contexts.

The course further explores the use of AI to improve testing itself. You will see how AI can assist in generating test cases, predicting defects, analysing logs, and enhancing automation. This dual perspective—testing AI systems and using AI in testing—gives you a strong foundation for modern quality assurance practices.

In addition to technical aspects, the course covers essential considerations such as ethical testing, risk management, transparency requirements, and the governance of AI systems. You will learn how to communicate AI-related risks, document your findings, and collaborate effectively with data scientists, developers, and business stakeholders in AI-driven projects.  By the end of the programme, you will be well prepared to pass the ISTQB AI Testing certification exam and ready to apply your skills in real projects involving AI or machine learning. Whether you are a tester, QA professional, test manager, developer, or someone transitioning into AI-centric roles, this course provides the knowledge, methods, and confidence needed to work effectively in the rapidly growing world of AI-based software.

This certification is recognised globally and opens the door to advanced roles within AI testing, data-driven development, and intelligent automation. Begin your journey towards becoming a skilled and certified AI testing professional with the ISTQB Certified Tester – AI Testing (CT-AI) course. 

One time payment

Self-spaced training program  

17999 INR
Register Now

© 2025 SAJO ACADEMY PRIVATE LIMITED