Upgrade your testing workflow by applying AI-driven tools for smarter test design and faster analysis.
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4.6 Rating
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Apply AI-supported testing tools to generate optimized test suites, detect anomalies, and accelerate defect analysis. By mastering these practices, you streamline testing cycles, strengthen model reliability, and transform AI from a potential risk into a strategic advantage for your organization.
Gain a practical understanding of AI concepts, machine learning workflows, model behavior, dataset structures, and the challenges unique to AI-based systems.
Learn how to evaluate accuracy, reliability, robustness, validation datasets, model drift, bias, and explainability, using proven testing principles.
Discover how AI can support repetitive testing tasks like generating test scenarios, optimizing test suites, identifying anomalies, and accelerating analysis.
Build the ability to identify and manage issues such as dataset bias, overfitting, adversarial risk, inconsistent predictions, and ethical concerns.
Gain the skills to contribute to AI-driven QA initiatives, evaluate AI-powered tools, and support teams adopting AI testing strategies.
Reserve your spot in advance and choose the schedule that best fits your availability
Accelerate your AI-testing journey with a comprehensive, hands-on, globally recognized qualification. Here’s what the program empowers you with:
Understand ethical considerations, governance models, privacy needs, and risk-mitigation strategies in AI-driven environments.
24 hours of expert-led sessions delivered over three days, combining interactive instruction with guided hands-on practice to apply concepts to real-world scenarios.
Access comprehensive study guides, quick-reference templates, and curated learning resources, available for 30 days after training to support on-the-job application.
Certification-oriented preparation with practice questions, simulated exams, and detailed feedback to identify improvement areas and boost confidence.
This certification ensures you can meaningfully evaluate, test, and support AI systems in modern software organizations.
Extra Time
+25% for non-native language candidates
Eligibility
CTFL certification required to obtain CT-AI certification
Get a detailed overview of the course content and structure. Download the syllabus to see what you'll be learning and how our program can help you achieve your career goals.
Testing & QA Professionals
Testers, test analysts, test engineers, automation engineers, QA leads, test managers.
Technology & Delivery Teams
Software developers, project managers, product managers, team leaders, IT directors.
AI & Data Professionals
Data analysts, data engineers, ML practitioners involved in model quality validation.
Anyone Working with AI-Enabled Applications
Ideal for those needing practical understanding of how to verify, validate, and trust AI systems.

Aastha Agarwal is the AI Transformation Coach at Verity Software and First Authorized & Certified ISTQB CT-AI Trainer in India. AI Test Engineer + Manual tester + Corporate Coach – Experience in uncovering biases & ensuring fairness in AI Systems | “Optimizing Performance & Reliability of Machine Learning Models” | Combining traditional software testing expertise with AI knowledge to make sure of developing or deploying AI-powered solutions | Corporate coaching on AI & Machine Learning on various global certifications & non-certification courses.

Corporate Trainer/AI - Testing Engineer at Verity /AiEnsured(TAI)
Staying updated with the latest technologies, methodologies, and best practices can make you more valuable to your organization and improve your career prospects.
The content provided is always clear and detailed, making complex concepts easy to understand. What truly stands out is the willingness to explain things patiently, no matter how many times I ask. This dedication to clarity and understanding has been invaluable to me.
I had an excellent experience with Aastha during the ISTQB CT-AI certification training. The depth of her knowledge on the subject was impressive, and her ability to explain complex topics in simple terms made learning enjoyable and effective.
The pace of the training was perfect, balancing theory and practical application. The supportive and positive attitude made the sessions comfortable and conducive to learning. Thank you for such an enriching experience!
As a beginner, this training has been incredibly valuable in helping me understand machine learning concepts. Aastha and Deepika conducted the ISTQB AI sessions with great patience and expertise over four days.
Their teaching approach was clear, structured, and engaging, making complex topics easier to grasp. I have gained significant insights that will be instrumental in advancing my knowledge and transitioning into AI testing. Overall, it was a well-organized and enriching learning experience.
Personalized learning tailored to your pace, schedule, and career goals.
₹24,999
Scalable training solutions for teams of any size, across all domains.
No prior AI experience is required. However, an ISTQB® CTFL certification is mandatory to take the CT-AI exam.
The instructor-led program typically runs for 2–3 days, depending on the delivery plan. Self-learn participants can progress at their own pace using structured learning materials.
The course is available in instructor-led online and self-learn online formats. Instructor-led sessions include live interaction and guided learning, while self-learn offers flexibility with recorded content and references.
The program balances conceptual learning with practical exposure to AI and ML systems, including AI-supported testing techniques and model evaluation. The syllabus is tool-neutral and focuses on principles applicable across AI platforms and frameworks.
CT-AI certification builds expertise in one of the fastest-growing areas of software quality, enabling you to contribute to AI risk management and positioning you for advanced QA and AI testing specialist roles.
Reserve your spot in advance and choose the schedule that best fits your availability.