AI Introduction for Testers Micro-Credential

AT*SQA Software Testing Micro-Credential

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AI Introduction for Testers Micro-Credential

This micro-credential shows you have a working understanding of AI and generative AI concepts, what they are, how they differ, and how testers can use them to support test design, automation, and results analysis. Passing adds you to the Official U.S. List of Certified Testers and counts toward the AT*SQA AI for Testers certification.

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Learn AI Introduction for Testers through AT*Learn Training

AT*SQA AI Introduction for Testers Body of Knowledge (Syllabus)

Register for the AI Introduction for Testers Micro-Credential Exam

What the AI Introduction for Testers Micro-Credential Covers

The syllabus covers the AI concepts that matter most to software testers. That includes what AI and machine learning are and how they work, how generative AI differs from other AI systems, and the model types testers encounter most: foundation models, instruction-tuned models, reasoning models, multimodal models, and vision-language models.

On the practical side, you will learn how teams use AI to support testing work. Examples include generating test cases, scaffolding test automation, reviewing logs, comparing screenshots to requirements, and drafting defect reports. Vision-language models in particular can speed up UI-heavy testing by flagging visual differences and writing the first draft of a defect.

The syllabus also covers tooling, from open-source frameworks like TensorFlow and Apache MXNet to AI-as-a-service from major providers, and addresses evaluation. You will learn how to measure AI outputs using accuracy, precision, recall, F1 score, and the confusion matrix, and how to monitor production models for drift over time.

What You Will Learn in the AI Introduction for Testers Micro-Credential

• What AI and machine learning are, and how they differ from traditional software
• How generative AI works and where it fits in a testing context
• The model types testers work with: foundation, instruction-tuned, reasoning, multimodal, and vision-language
• How to use AI for test case generation, automation scaffolding, log analysis, and defect reporting
• Tooling options and hardware considerations for AI-assisted testing
• Evaluation metrics: accuracy, precision, recall, F1 score, and the confusion matrix
• How to monitor production models for drift and when to retrain
• Privacy, bias, and traceability considerations when using AI in QA

Who Should Earn the AI Introduction for Testers Micro-Credential

Software testers and QA professionals who want a solid foundation in AI before working on AI-based systems or using AI tools on the job. No prior AI experience required.

How to Earn This Credential

Download the free syllabus to study, then register for the exam on the purchase page for $39. If you want structured video instruction and exam prep materials, the AT*Learn AI for Testers training is available for $49.

Passing the exam adds you to the Official U.S. List of Certified and Credentialed Software Testers, which employers use to verify credentials. This credential also counts toward the AT*SQA AI for Testers certification, which includes three additional micro-credentials: What to Test in AI-Based Systems, How to Test AI-Based Systems, and Testing Using AI. AT*SQA also offers the ISTQB AI Testing and ISTQB Testing with Generative AI certifications for testers who want a broader AI testing certification.

AI Introduction for Testers: Common Questions

Is there a free way to study before the exam?
Yes. AT*SQA publishes a free body of knowledge for this credential, which is the official syllabus for the exam. You can download it from this page. The AT*Learn training ($49) is available if you want video instruction and additional prep materials, but the exam can be taken based on the free syllabus alone.

Can this credential help me get a job in AI testing?
AI testing skills are in demand as more software teams build and deploy AI-based systems. This credential demonstrates that you understand AI fundamentals in a testing context, which is relevant for QA roles on teams working with machine learning, generative AI, or AI-powered tools.

How is this different from the ISTQB AI Testing certification?
The AI Introduction for Testers micro-credential is an entry-level credential focused specifically on AI concepts for testers. The ISTQB AI Testing certification is a full certification with a broader scope. Both are available through AT*SQA, and both add you to the Official U.S. List.

Does AT*SQA offer other AI testing credentials?
Yes. The AI Introduction for Testers micro-credential is the first step in the AT*SQA AI for Testers certification. The full certification covers what to test in AI-based systems, how to test AI-based systems, and how to use AI as a testing tool. AT*SQA also offers the ISTQB AI Testing and ISTQB Testing with Generative AI certifications for testers who want a full AI testing certification.