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Certified Tester AI Testing (CT-AI) Training

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The Certified Tester AI Testing (CT-AI) certification equips professionals with the skills to test Artificial Intelligence (AI) and Machine Learning (ML)-based systems, ensuring quality, transparency, fairness, and reliability in AI-driven applications.

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  • Certified Trainer

  • Authorized Courseware

  • Completion Certificate from ATP

  • Enterprise Reporting

  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

What is Certified Tester AI Testing (CT-AI) Training about?

As AI and ML solutions become more integrated into modern systems, the challenges of verifying, validating, and ensuring their fairness and accuracy increase. The CT-AI certification addresses these challenges by providing a structured approach to AI testing. It focuses on the quality characteristics of AI systems, the specific risks of ML-based models, and strategies to test data, algorithms, and models effectively. The certification also covers explainability, ethical aspects, and automation techniques tailored for AI testing.

What are the objectives of Certified Tester AI Testing (CT-AI) Training ?

  • Understand the fundamentals of AI, ML, and data-driven systems.
  • Identify risks and quality aspects specific to AI systems.
  • Apply test strategies and techniques for ML models and datasets.
  • Ensure transparency, fairness, and bias detection in AI testing.
  • Utilize automation and tools for AI/ML testing processes.

Who is Certified Tester AI Testing (CT-AI) Training for?

  • Software Testers and Test Managers.
  • AI/ML Engineers and Data Scientists involved in quality assurance.
  • Quality Managers ensuring compliance in AI-driven applications.
  • Professionals working in regulated AI domains (e.g., healthcare, finance).
  • Anyone seeking to specialize in AI system testing.

What are the prerequisites for Certified Tester AI Testing (CT-AI) Training?

  • ISTQB® Certified Tester Foundation Level (CTFL).
  • Basic understanding of software testing principles.
  • Familiarity with AI/ML concepts (supervised/unsupervised learning).
  • Knowledge of data management and analytics.
  • Some programming or scripting exposure (Python preferred) is helpful.

Available Training Modes

Live Online Training

Who is the instructor for this training?

The trainer for this Certified Tester AI Testing (CT-AI) Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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