AT*SQA AI For Testers Certification
AT*SQA makes it easy to add another certification to your resume. When you get all four micro-credentials in the AI for Testers AT*SkillStack™ below, you will also receive the AT*SQA AI for Testers Certification!
What the AT*SQA AI for Testers Covers
The AI for Testers certification is designed by AT*SQA to equip software testers with a foundational understanding of artificial intelligence (AI) and its impact on testing practices. This module explores why AI, a transformative technology akin to personal computers and smartphones, is here to stay and will revolutionize how we interact with and test systems. It introduces key AI concepts, including the distinction between AI and Generative AI, the structure and function of neural networks, and the basics of machine learning models such as Large Language Models (LLMs) and Small Language Models (SLMs). Through engaging content and practical examples, learners will grasp essential terminology, understand data considerations, and explore how AI can enhance testing processes, all while addressing challenges and limitations to ensure effective application in real-world scenarios.
Pass all four micro-credentials and you will also receive the AT*SQA AI for Testers Certification
- AI Introduction for Testers
- What to Test in an AI based System
- How to Test AI-Based Systems
- Testing Using AI
Bonuses: Get extra Testing Tiers® points and appear on Official U.S. List of Certified & Credentialed Software Testers™ when you receive the certification. You can also appear in the AT*Work™ list of software testers for hire.
AI Introduction for Testers Micro-Credential
The AI Introduction for Testers micro-credential covers the core concepts testers need to understand AI: the difference between AI and Generative AI, how neural networks process information through layers of connected neurons, and the machine learning workflow from data preparation through model training, evaluation, and deployment. You will also learn how supervised, unsupervised, and reinforcement learning algorithms work, why training data quality directly determines model accuracy, how model performance is measured using metrics like precision, recall, and F1-score, and the distinctions between foundation, instruction-tuned, and reasoning LLMs.
Learn AI Introduction for Testers through AT*Learn Training
Get the AT*SQA AI Introduction for Testers Body of Knowledge (Syllabus)
Register for the AI Introduction for Testers Micro-Credential Exam
What to Test in AI-Based Systems Micro-Credential
The What to Test in AI-Based Systems micro-credential covers what testers need to evaluate when the system under test includes AI components. Topics include how to identify and test for hallucinations, reasoning errors, and bias; how to handle non-deterministic systems where the same input can produce different outputs; data privacy risks and security attack vectors specific to AI; and the quality characteristics that differ from traditional software testing, including flexibility, adaptability, system evolution, ethics, side effects, reward hacking, and transparency. Because AI systems rarely have acceptance criteria defined in testable terms, this credential focuses on building the judgment testers need to evaluate AI outputs effectively.
Learn What to Test in AI-Based Systems through AT*Learn Training
AT*SQA What to Test in AI-Based Systems Body of Knowledge (Syllabus)
Register for the What to Test in AI-Based Systems Micro-Credential Exam
How to Test AI-Based Systems Micro-Credential
"How to Test AI-Based Systems" explains how the traditional test levels can be applied to testing AI-based systems. It also discusses testing techniques that are particularly well-suited for AI system testing. The module includes a discussion of the challenges of testing AI systems.
Learn How to Test AI-Based Systems through AT*Learn Training
AT*SQA How to Test AI-Based Systems Body of Knowledge (Syllabus)
Register for the How to Test AI-Based Systems Micro-Credential Exam
Testing Using AI Micro-Credential
Testing Using AI Micro-Credential provides a practical, up-to-date guide for software testers on leveraging Artificial Intelligence to transform testing practices. As AI rapidly reshapes software development, this syllabus explores how testers can use AI for test case generation and management, intelligent test data creation, self-healing automation, predictive defect analysis, and more. It balances the exciting opportunities AI offers — such as increased speed, coverage, and efficiency — with critical discussions on challenges, risks, ethics, and the evolving role of human testers as "governors of intelligence." Designed for modern testing professionals, it equips learners with actionable knowledge and prompt engineering skills to stay effective in an AI-driven quality assurance landscape.
Learn Testing Using AI through AT*Learn Training
See a Sample of the AT*Learn Training
The video below is an example of the training that you will see when you purchase AT*Learn training for AI for Testers. Each micro-credential is covered in depth and makes preparing for your micro-credential exam and learning easier. The whole AT*Learn AI for Testers Training can be purchased for $49.
Who Needs AT*SQA AI for Testers Certification?
Anyone involved in enhancing software quality through efficient testing processes can benefit from the AT*SQA AI For Testers Certification, including:
- Manual Testers transitioning to automation
- Test Automation Engineers
- Developers contributing to CI/CD pipelines
- Quality Assurance (QA) Analysts
- DevOps Team Members
- API Testers
- Software Engineers
- Business Analysts involved in testing
This training builds foundational knowledge of AI and Generative AI, equipping testers to understand machine learning models, neural networks, and data-driven workflows. By learning how AI is built, tested, and applied in practice, testers can identify risks, evaluate model accuracy, and adapt traditional testing methods to AI-based systems. Mastering AI concepts empowers testers to leverage AI tools in their own work, enhance test design, and anticipate quality challenges, enabling faster, smarter testing and ensuring reliability in an AI-driven development environment.
AT*SQA AI for Testers
Purchase Micro-Credential Exams That Stack to Certification Learn About TrainingFrequently Asked Questions About the AT*SQA AI for Testers Certification
What is the AT*SQA AI for Testers Certification?
The AT*SQA AI for Testers Certification is earned by passing four micro-credential exams that cover AI concepts, testing AI-based systems, and using AI tools in your testing work. All four must be passed to receive the certification. There are no prerequisites and the exams are open-book and taken online.
What does the AI for Testers certification cover?
The four micro-credentials cover: foundational AI concepts including machine learning, neural networks, and Generative AI; how to identify and test for hallucinations, bias, and non-deterministic behavior in AI-based systems; how to apply traditional test levels and techniques to AI system testing; and how to use AI tools to generate test cases, create test data, and support automation.
How much do the micro-credential exams cost?
Each exam is $39. Exams are online and open-book with 10 questions and a 20-minute time limit. The passing score is 70% and a free second attempt is included within 365 days if you do not pass on the first try.
Do I need prior AI experience to take these exams?
No. The curriculum starts with foundational AI concepts and is designed for working software testers, not AI practitioners. If you understand software testing but are new to AI, this certification is built for you.
How is this different from the ISTQB AI Testing certification?
The ISTQB AI Testing certification is a single proctored exam at the specialist level that requires passing the ISTQB Foundation Level first. The AT*SQA AI for Testers certification uses a micro-credential format with four shorter open-book exams, has no prerequisites, and is designed specifically for testers who want practical, accessible AI knowledge. The two certifications are complementary rather than competing.
What are the benefits of earning this certification?
Once you have passed all four exams, email [email protected] to receive your certification. You will then appear on the Official U.S. List of Certified and Credentialed Software Testers, earn Testing Tiers points, and can list the certification on your resume. You are also eligible to appear in the AT*Work directory of software testers for hire.
Questions About AT*SQA Certifications and Micro-Credentials?
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Learn about flexible recertification options so you can demonstrate ongoing competency.