The ISTQB® Certified Tester - AI Testing is for individuals who want to expand their skills in testing AI based systems and/or AI for testing. This includes people in roles such as testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers and software developers. This certification is aimed at improving and attesting to a basic understanding of testing AI-based systems and/or AI for testing. Important Notice: CT-AI v1.0 Sunset: The CT-AI v1.0 syllabus will be retired with the release of the ISTQB® Certified Tester AI Testing (CT-AI) v2.0 syllabus. Please note the key dates below from which point exams, including retakes and training, will no longer be available. English version CT-AI v1.0: available until 21 April 2027 Non-English versions CT-AI v1.0: available until 21 October 2027 The new CT-AI v2.0 syllabus focuses on testing AI systems. More information can be found at ISTQB® Certified Tester - AI Testing v2.0 (CT-AI) Candidates interested in certification for using Generative AI in testing may also consider the ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI) certification. How do I obtain this certification? To be certified you must pass the ISTQB® Certified Tester - AI Testing exam. The exam consists of 40 multiple choice questions. The total number of points for this exam is 47 points. To pass the exam, at least 65% (31 points) of the total sum of points must be answered correctly. The exam duration is 60 minutes. If the candidate’s native language is not the examination language, the candidate is allowed an additional 25% (exam duration = 75 minutes) You can prepare for the exam by attending an accredited training course for ISTQB® Certified Tester AI Testing; participants will have relevant content and topics clearly explained and taught to them. The course will help you to understand the syllabus with the guidance of a trainer and give you understanding and knowledge of AI-based systems and using AI for Testing. The exam is also available on Pearson Vue and as a remote proctored FLEX exam for anyone wishing to self-study. You can also test your knowledge without obligation and free of charge before taking the exam by ISTQB CT-AI online mock exam What are the entry requirements? The mandatory prerequisite for taking the ISTQB® Certified Tester AI Testing exam is that candidates have achieved ISTQB® Certified Tester − Foundation Level certification. How does this certification benefit me? With the the ISTQB®Certified Tester AI Testing you will: Understand the current state and expected trends of AI. Experience the implementation and testing of an ML model and recognize where testers can best influence its quality. Understand the challenges associated with testing AI-based systems, such as their self-learning capabilities, bias, ethics, complexity, non-determinism, transparency and explainability. Contribute to the test strategy for an AI-based system. Design and execute test cases for AI-based systems. Recognize the special requirements for the test infrastructure to support the testing of AI-based systems. Understand how AI can be used to support software testing. Who is this certification for? The Certified Tester AI Testing is suitable for Anyone who is involved in testing as well as anyone interested in AI-based systems. This includes people performing activities such as test analysis, test consulting and software development. Anyone working with Agile or sequential software development lifecycles. Anyone involved in testing AI-based systems and/or AI for testing including testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers and software developers. Anyone who wants a basic understanding of testing AI-based systems and/or AI for testing, such as project managers, quality managers, software development managers, business analysts, operations team members, IT directors and management consultants. What other certifications can you recommend? Other ISTQB® certifications that may be of interest: ISTQB® Specialist Certifications: ISTQB® Certified Tester - Acceptance Testing (CT-AcT) ISTQB® Certified Tester - Automotive Software Tester (CT-AuT) ISTQB® Certified Tester - Game Testing (CT-GaMe) ISTQB® Certified Tester - Gambling Industry Tester (CT-GT) ISTQB® Certified Tester - Mobile Application Testing (CT-MAT) ISTQB® Certified Tester - Model-Based Testing (CT-MBT) ISTQB® Certified Tester - Performance Testing (CT-PT) ISTQB® Certified Tester - Security Tester (CT-SEC) ISTQB® Certified Tester - Test Automation Engineer (CT-TAE) ISTQB® Certified Tester - Usability Tester (CT-UT) ISTQB® Agile Certifications: ISTQB® Certified Tester Foundation Level – Agile Tester ISTQB® Certified Tester Advanced Level - Agile Technical Tester (CTAL-ATT) ISTQB Agile Test Leadership at Scale ISTQB® Advanced Level: ISTQB® Certified Tester Advanced Level - Test Analyst (CTAL-TA) ISTQB® Certified Tester Advanced Level - Test Analyst v4.0 (CTAL-TA) ISTQB® Certified Tester Advanced Level - Test Manager (CTAL-TM) ISTQB® Certified Tester Advanced Level - Technical Test Analyst (CTAL-TTA) ISTQB® Expert Level ISTQB® Certified Tester Expert Level - Assessing the Test Process (CTEL-ITP-ATP) ISTQB® Certified Tester Expert Level - Implementing Test Process Improvements (CTEL-ITP-ITPI) ISTQB® Certified Tester Expert Level Test Management Strategic Test Management (CTEL-TM-SM) ISTQB® Certified Tester Expert Level Test Management Operational Test Management (CTEL-TM-OTM) ISTQB® Certified Tester Expert Level Test Management Managing the Test Team (CTEL-TM-MTT) If you are seeking to extend your knowledge of test automation, we recommend: A4Q Certified Selenium 4 Tester Foundation A4Q Foundation Level Tester for Appium If you need to be able to gather requirements then you could consider IREB® Certified Professional Requirements Engineer – Foundation Level CPRE-FL IREB CPRE AI4RE Micro-Credential

The ISTQB® Certified Tester – Testing with Generative AI (CT‑GenAI) is the official ISTQB® certification for AI-powered software testing. It equips professionals to apply Generative AI (GenAI), Large Language Models (LLMs), and AI testing tools across the entire software testing process. This globally recognized ISTQB® CT-GenAI certification is designed for anyone who wants to: Generate test cases, acceptance criteria, and synthetic test data using AI Use prompt engineering techniques to improve test accuracy and automation Identify and mitigate AI-specific risks such as hallucinations, bias, and data privacy breaches Integrate LLM-powered infrastructure (RAG, LLMOps, AI agents) into test environments Plan and execute an organizational AI testing strategy By earning the CT‑GenAI certification, you gain international recognition as a specialist in AI in software testing. Whether you’re new to AI or experienced in testing, this certification shows employers you can apply GenAI in practical, real-world test scenarios. IMPORTANT NOTE: Effective April 27, 2026, the ISTQB® has released version 1.1 of the Certified Tester Specialist Level: Testing with Generative AI (CT-GenAI) syllabus, a minor update to v1.0. This update introduces several minor corrections and clarifications, including: Terminology refinements (e.g., “few-shot” updated to “one-shot”) Clarifications in areas such as: Evaluation metrics for Generative AI in testing Bias detection and reasoning errors Data privacy terminology Use of LLM-powered agents in test automation Updates to acknowledgements and general editorial improvements For further information, please refer to the ISTQB® Release Note. Practice for your ISTQB® CT-GenAI exam with the ISTQB Prep platform! BUNDLE OFFER: Bundle your CT-GenAI exam with the ISTQB Prep platform and save 50% on the platform price. Get the tools you need to build confidence and succeed! Note: ISTQB Prep is currently available in English (other languages coming soon!) Important Information - Spanish Language Versions We offer two Spanish language versions of the exam: Latin American Spanish (LATAM) and European Spanish. Please note that when booking a Spanish exam through the website, the Latin American Spanish (LATAM) version will be assigned by default. If you would like to take the European Spanish version of the exam, please contact us at exam@isqi.org How do I obtain the ISTQB® CT‑GenAI certification? To be certified, you must pass the ISTQB® Certified Tester - Testing with Generative AI (CT‑GenAI) exam. Step 1 – Prepare for the certification exam You can choose one of two preparation paths: 1. Attend an accredited training course Accredited training providers deliver courses based on the official ISTQB® CT‑GenAI syllabus. Training covers all examinable topics, including prompt engineering, AI risk management, Generative AI test infrastructure, and organizational adoption. 2. Self-study using the official syllabus (download here) Study chapters on: Introduction to Generative AI and LLMs in testing Prompt engineering techniques for test design and automation Managing AI-specific risks (hallucinations, bias, data privacy) RAG, fine-tuning, and AI-powered test agents GenAI strategy and integration in testing organizations Step 2 – Test your knowledge Download the official ISTQB® CT‑GenAI sample exam questions, answers, and syllabus from the “Download” section on this page. You can also use the ISTQB® CT‑GenAI online mock exam to check your readiness. Step 3 – Take the exam You can take the ISTQB® CT‑GenAI certification exam: Format: 40 multiple-choice questions Duration: 60 minutes (+25% extra for non-native English speakers) Pass mark: 65% Languages: English (other languages coming soon!) Delivery: Online via iSQI FLEX (remote proctoring) or at Pearson Vue Test Centres Worldwide (coming soon!) Validity: Lifetime - the certification does not expire Who should take this certification? This certification is for professionals involved in or impacted by AI-enabled software testing, including: Testers, test analysts, test engineers, test automation engineers, UAT testers, test managers Software developers involved in testing Project managers, quality managers, software development managers, business analysts, IT directors, consultants What are the entry requirements? Mandatory prerequisite: ISTQB® Certified Tester – Foundation Level (CTFL) No programming experience required: suitable for both technical and non-technical roles What are the benefits of the ISTQB® CT‑GenAI certification? Boost your AI testing expertise Understand LLMs, tokenization, embeddings, and multimodal models Use prompt engineering (structured prompts, chaining, few-shot, meta) across all testing activities Generate, refine, and evaluate test cases, acceptance criteria, synthetic data, and test reports Mitigate AI-specific risks Identify and manage hallucinations, bias, non-determinism, privacy, and security risks Apply ethical and regulatory best practices Assess the environmental impact of AI in testing Adopt an AI-powered test infrastructure Implement RAG, fine-tuning, and LLMOps for test optimization Use AI agents to automate test processes Lead GenAI adoption in test organizations Plan a GenAI adoption roadmap Build AI capabilities in test teams Adapt testing processes for AI-enabled organizations Which topics are covered in the Syllabus? The CT‑GenAI syllabus (download here) consists of five chapters: Introduction to Generative AI for Software Testing Prompt Engineering for Effective Software Testing Managing Risks of Generative AI in Software Testing LLM-Powered Test Infrastructure Deploying and Integrating GenAI in Test Organisations The syllabus combines theory with practical exercises, starting with guided examples before moving to real-world tasks. What other certifications can you recommend? ISTQB® Certified Tester Foundation Level (CTFL) ISTQB® Certified Tester Advanced Level - Test Analyst (CTAL-TA v4.0) ISTQB® Certified Tester Advanced Level - Test Manager v3.0 (CTAL-TM) ISTQB® Certified Tester Advanced Level - Technical Test Analyst (CTAL-TTA) ISTQB® Certified Tester Advanced Level – Test Automation Engineering v2.0 ISTQB® Certified Tester AI Testing (CT-AI) - covers the broader testing of AI-based systems and machine learning models themselves, including data quality, algorithm validation, and AI-specific risks. Organizations seeking to increase essential AI knowledge across the organization may be interested in the A4Q AI Essential e-learning and certification package. A4Q AI Foundation A4Q AI Compliance

The ISTQB® Certified Tester AI Testing v2.0 (CT-AI) certification provides a comprehensive introduction to testing AI-based systems, with a primary focus on machine learning and including key concepts and testing approaches for generative AI. It extends core software testing knowledge to address the unique challenges of AI, including non-deterministic behavior, data dependency, probabilistic outcomes, and continuously evolving models. The certification equips professionals with the skills needed to design, execute, and evaluate tests for AI systems in modern development environments. Version 2.0 replaces the previous CT-AI v1.0 syllabus. The v1.0 certification will be phased out: English version: available until 21 April 2027 Non-English versions: available until 21 October 2027 Candidates are encouraged to pursue v2.0 to align with current industry practices and evolving AI technologies. Professionals interested in testing using generative AI systems should consider the ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) certification. Contents The ISTQB® CT-AI v2.0 certification covers the following key areas: Introduction to Artificial Intelligence AI-based vs conventional systems Types of AI (narrow, general, super AI) Overview of AI technologies, including generative AI AI development, hosting, and regulatory considerations Quality Characteristics for AI-Based Systems AI-specific quality characteristics (ISO/IEC 25059) Functional correctness and adaptability Transparency, robustness, and controllability Safety and ethical considerations Machine Learning Supervised, unsupervised, and reinforcement learning ML workflow and lifecycle Data preparation and dataset management ML functional performance metrics Neural networks fundamentals Testing AI-Based Systems Challenges in testing AI systems Statistical and risk-based testing approaches Testing generative AI and large language models Test levels for machine learning systems Input Data Testing Data quality risks and mitigation Bias detection and representativeness Data pipeline and dataset validation Model Testing ML model risks and performance testing Adversarial and metamorphic testing Overfitting, underfitting, and drift A/B and back-to-back testing Machine Learning Development Testing Testing during development and deployment Monitoring and maintaining model performance in production Who is the CT-AI v2.0 certification for? This certification is suitable for: Testers, test analysts, and test engineers Software developers and data scientists Test managers and QA professionals Business analysts and project managers IT leaders and consultants Anyone seeking a foundation in testing AI-based systems How does the CT-AI v2.0 certification benefit me? After completing this certification, candidates will be able to: Understand the current state of AI, including generative AI. Experience the implementation and testing of machine learning models Understand the working and testing of simple neural networks. Understand the specific AI quality characteristics defined by ISO/IEC 25059. Calculate and interpret ML functional performance metrics for machine learning models. Recognize the scope and importance of the two test levels that are specific to the testing of machine learning systems. Contribute to the development of an effective test strategy for a machine learning system. Design and execute test cases for machine learning systems. Exam Information Number of Questions: 40 Duration: 60 minutes Pass Mark: 29 out of 44 points Format: Multiple-choice questions Prerequisites Mandatory: ISTQB® Certified Tester Foundation Level (CTFL) Recommended: Basic experience in software testing, development, or data-related roles and approximately six months of practical experience How do I obtain the ISTQB® Certified Tester AI Testing (CT-AI) v2.0 certification? To be certified, you must pass the ISTQB® Certified Tester AI Testing (CT-AI) v2.0 certification exam. You can prepare for the exam by: Attending an accredited training course for ISTQB® CT-AI v2.0 Self-study using the official syllabus, sample exams (see “Downloads” section), and the ISTQB® Glossary You can also test your knowledge without obligation and free of charge by taking an online mock exam before attempting the certification exam. Frequently Asked Questions What is the ISTQB® CT-AI v2.0 certification? The ISTQB® Certified Tester AI Testing v2.0 (CT-AI) certification validates knowledge in testing AI-based systems, with a focus on machine learning, data quality, and AI-specific testing techniques. Is ISTQB® CT-AI v2.0 focused on generative AI? No. CT-AI primarily focuses on machine learning systems and AI testing fundamentals. Generative AI is included as part of the broader AI landscape. For a dedicated focus on using GenAI in testing, refer to the ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) certification. What is the difference between ISTQB® CT-A v2.0 and ISTQB® CT-GenAI? CT-AI v2.0 focuses on testing AI-based systems, especially machine learning systems, including data, model, and AI-quality-related testing. CT-GenAI focuses on using generative AI in software testing, including applying LLMs, prompt engineering, and GenAI-supported testing approaches across the test process. What are the prerequisites for CT-AI v2.0? Mandatory: ISTQB® Certified Tester Foundation Level (CTFL) certification ( ISTQB® Certified Tester Foundation Level (CTFL 4) or a previous version) Recommended: A minimal background in software development or software testing and approximately six months of relevant practical experience Do I need AI or programming experience to take the ISTQB® CT-AI v2.0 certification exam? No prior AI or programming experience is required. However, a basic understanding of software testing or development concepts is beneficial. How is AI testing different from traditional software testing? AI testing introduces additional challenges, including: Non-deterministic outputs Dependence on training data quality Lack of clear test oracles Continuous model evolution How long does it take to prepare for the ISTQB® CT-AI exam? The syllabus is designed for approximately 19.5 hours of training, with additional self-study recommended depending on experience. If you are self-studying, then use the learning time per chapter as a guide. What topics are covered in the ISTQB® CT-AI v2.0 certification? The certification covers: AI fundamentals and machine learning Data preparation and model evaluation AI-specific quality characteristics Testing techniques for AI systems Model and data testing approaches Is ISTQB® CT-AI v2.0 relevant for real-world AI projects? Yes. The certification provides practical knowledge for testing machine learning models, data pipelines, and AI system behavior, which can be applied in real-world projects. Can I take the ISTQB® CT-AI v2.0 exam without training? Yes. You can prepare through self-study using the syllabus and sample exams (including the online sample), although accredited training can help structure learning and improve exam readiness. What other certifications can you recommend? ISTQB® Certifications: ISTQB® CTFL 4 (CTFL is a prerequisite for CT-AI, v4.0 or a previous version if you are already certificated) ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI) General AI Certifications: A4Q AI Essentials A4Q AI Foundation A4Q AI Compliance IREB Microcredential AI4RE

AI is transforming the way businesses operate, but unmanaged risks can lead to regulatory penalties, reputational damage, and loss of trust. With the EU AI Act now in force, organizations need professionals who understand AI risks, ask the right questions, and ensure responsible use. The A4Q AI Portfolio consists of three complementary modules: AI Essentials: A non-technical introduction to AI literacy, risk awareness, and regulatory obligations. AI Foundation: A deeper dive into how AI systems work and how to apply them responsibly. AI Compliance: Focused on regulatory alignment, risk categories, and organizational responsibilities under the EU AI Act. The A4Q AI Essentials certification package includes a practical, self-paced e-learning course and exam. It gives an introduction to AI for professionals across all industries, with no technical expertise required. It builds fundamental knowledge of AI technologies, risk classifications, and key principles such as transparency, data protection, and human oversight. Fully aligned with the EU AI Act, this certification helps participants understand regulatory requirements, ethical considerations, and how to apply them in real-world business contexts. It is ideal for both technical and non-technical teams and supports organizations to adopt AI responsibly, ethically, and in full compliance with European regulations. Please note that the AI Essentials certification is valid for a period of two (2) years from the date of issue. After this period, recertification is required to maintain the validity of your credential. Note: Your purchase includes the e-learning course along with the exam. How do I obtain the A4Q AI Essentials certification? To earn your A4Q AI Essentials certification, you’ll need to complete the e-learning course and then pass the certification exam. Both are included in your purchase. Here’s how to prepare: Complete the e-learning course: Work through all modules and practice with quizzes to reinforce your understanding of key topics. Refer to the official syllabus: Use it to ensure full coverage of all exam-relevant areas. Explore optional content: Learn the basics of prompt engineering (this module is not part of the exam, but offers valuable context). Take and pass the certification exam: Demonstrate your knowledge and receive your official A4Q AI Essentials certificate. What will I learn? By completing the A4Q AI Essentials certification, you’ll gain knowledge in: What AI is and how it’s used in everyday business contexts The difference between rule-based and learning-based AI systems Key requirements and implications of the EU Artificial Intelligence Act Transparency, data protection, and ethical considerations in AI usage The role of human oversight and how to ensure accountability Practical awareness of AI risks, bias, and fairness Intro to prompt engineering for effective use of AI tools (optional module) What are the entry requirements? There are no prerequisites for the A4Q AI Essentials certification. The syllabus is designed as a basic module and is suitable for both technical and non-technical professionals who: Work in organizations that develop, operate, or procure AI systems. Need to understand AI technologies, risks, and compliance, particularly in the context of the EU AI Act. How does the A4Q AI Essentials certification benefit me? The certification offers the following key benefits to individuals and organizations: Build essential AI understanding – Gain a clear overview of AI concepts, applications, and regulatory basics to increase confidence in discussions and decisions. Support compliance efforts – Understand the EU AI Act, high-risk system categories, and GDPR principles to help ensure legal and ethical alignment. Recognize ethical and transparency issues – Learn the basics of bias, discrimination, and transparency requirements to better assess potential risks. Contribute to informed AI use – Identify where AI is applied in business and support responsible, risk-aware adoption within your organisation. Who is the A4Q AI Essentials certification for? A4Q AI Essentials is designed for anyone working with or around AI systems, especially: Professionals involved in the development, procurement, or use of AI systems. Project managers, consultants, product owners, and compliance officers. Employees seeking AI knowledge aligned with EU regulations. Organizations seeking compliance with the EU AI Act. What other certifications can you recommend? ISTQB® Certified Tester - AI Testing (CT-AI) ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI) A4Q AI Foundation A4Q AI Compliance

Only in May: Get 10% discount on the AI4RE exam with discount code: AI4RE10 (Cannot be combined with other discounts.) Please note that the exam is recorded but not live-proctored. "AI does not replace the Requirements Engineer – it amplifies their impact. AI4RE empowers professionals to use AI as a force multiplier while retaining ownership, quality, and trust." The AI4RE micro-credential equips Requirements Engineering professionals with structured competencies to apply AI technologies responsibly within RE processes. Participants gain practical knowledge of LLMs, chatbots, and Retrieval-Augmented Generation (RAG), including their capabilities, limitations, and risks. The program focuses on AI-assisted elicitation, analysis, documentation, and quality assurance — ensuring human oversight, traceability, and compliance are maintained at all times. How do I obtain the AI4RE micro-credential? To obtain your AI4RE micro-credential, you will need to pass the exam. The exam consists of 22 multiple-choice questions, and you must achieve a score of at least 80.00% to pass. The examination lasts 30 minutes. For non-native speakers, it may be extended to 36 minutes. You can prepare for the exam by attending a training course offered by a recognized IREB training provider. Alternatively, you can use the syllabus and study guide for self-study. Take the official IREB online self-assessment to prepare effectively for the AI4RE micro-credential. It provides a realistic simulation of the exam experience. The exam covers the following topics, as outlined in the Syllabus and study guide for the AI4RE micro-credential (see downloads) : AI Basics Large Language Models (LLMs) Prompt Engineering Risks and Responsibilities in AI4RE Use Cases for AI in Requirements Engineering After completing the AI4RE Micro-Credential, you will be able to: understand core AI concepts relevant to Requirements Engineering; explain how Large Language Models (LLMs) work and where their limitations lie; apply prompt engineering techniques to improve the quality of AI-generated RE outputs; identify suitable AI use cases across elicitation, documentation, validation, and management; recognize and mitigate risks such as hallucinations, bias, data leakage, and compliance issues; take responsibility for AI-supported RE processes through human validation and governance. What are the entry requirements? There are no formal prerequisites. However, we recommend that you have basic knowledge of Requirements Engineering, for example, at the CPRE Foundation Level, to fully benefit from this micro-credential. How will this micro-credential benefit me? You will learn how AI really works beyond trial and error. You will be able to apply AI in Requirements Engineering with confidence, ensuring quality and compliance. You will know how to avoid common pitfalls that lead to unusable or risky requirements. You will strengthen your professional profile by gaining a future-oriented micro-credential. You will stay relevant as AI becomes a standard tool in Requirements Engineering. Once you have passed the exam, you will receive a digital badge to prove your newly acquired expertise. Who is this micro-qualification for? This micro-credential is designed for professionals involved in Requirements Engineering and related roles, including: Requirements Engineers Business Analysts Product Owners Product Managers Systems Analysts Agile practitioners involved in backlog and requirements work It is particularly valuable for professionals already using AI tools, such as chatbots, transcription tools, document analysis systems, and who wish to apply them competently, safely, and systematically. What other certifications can you recommend? For anyone willing to understand and apply AI: A4Q AI Essentials A4Q AI Foundation A4Q AI Compliance For RE specialists, analysts, project managers: IREB Certified Professional for FoundationLevel (CPRE FL) For testers, developers: ISTQB® Certified Tester - AI Testing (CT-AI) ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI)

AI is transforming the way businesses operate, but unmanaged risks can lead to regulatory penalties, reputational damage, and loss of trust. With the EU AI Act now in force, organizations need professionals who understand AI risks, ask the right questions, and ensure responsible use. The A4Q AI Portfolio consists of three complementary modules: AI Essentials: A non-technical introduction to AI literacy, risk awareness, and regulatory obligations. AI Foundation: A deeper dive into how AI systems work and how to apply them responsibly. AI Compliance: Focused on regulatory alignment, risk categories, and organizational responsibilities under the EU AI Act. The A4Q AI Compliance certification (Certified Professional for AI Compliance – EU AI Act) validates essential knowledge and practical competencies required to interpret, apply, and evidence compliance with the EU AI Act across the full AI system lifecycle. The certification confirms a comprehensive understanding of the Act’s core requirements, including risk-based classification, governance, documentation, transparency, and audit readiness - key capabilities for responsible and compliant AI deployment. Certificate holders demonstrate their ability to classify AI systems by risk level, apply high-risk obligations, support FRIA processes, contribute to post-market monitoring, and align AI governance with ISO/IEC 42001, ISO/IEC 23894, and relevant international frameworks. The certification also reflects an understanding of the global regulatory context influencing AI deployment in international environments. Certification validity: 2 years, after which recertification is required. How do I obtain the A4Q AI Compliance certification? To obtain the certification, candidates must pass the official A4Q AI Compliance exam: 40 multiple-choice questions 60 minutes (plus 15 minutes for non-native speakers) Pass mark: 65 percent (26 correct answers) Based on the exam-relevant syllabus chapters (1–16) Preparation can be completed in two ways: By attending an accredited training course, which follows the recommended 16-hour curriculum defined in the syllabus. Through independent study, using the official syllabus and recommended literature. Test your knowledge without obligation and free of charge before taking the live exam by A4Q AI-Compliance online sample exam. Who should take the A4Q AI Compliance certification? This certification is suitable for anyone involved in AI governance, compliance, or oversight, including: AI Compliance Officers, legal specialists, and DPOs working with the EU AI Act. Risk, audit, and governance professionals responsible for AI controls and assurance. Product owners, project managers, and architects working on regulated or high-risk AI systems. Procurement and vendor-management teams evaluating AI solutions and providers. Public-sector leaders and policy owners involved in AI-supported decision-making and FRIA processes. ESG, CSR, and digital transformation leaders embedding responsible and trustworthy AI. It also complements other certifications, providing a natural next step after foundational AI literacy and governance qualifications, including the A4Q AI Essentials and A4Q AI Foundation. What are the entry requirements for the certification? There are no prerequisites. The certification is accessible to both technical and non-technical professionals. A general interest in AI, governance, regulation, or digital transformation is helpful but not required. What are the benefits of the A4Q AI Compliance certification? For Individuals: Gain an internationally recognized certification in AI compliance Demonstrate understanding of AI compliance principles applicable across industries Learn how to interpret and apply AI regulatory frameworks and standards Build awareness of organizational processes and technology relevant to AI governance Prepare to contribute to AI compliance initiatives within your team or organization For Organizations: Equip teams with a shared understanding of AI compliance requirements Support adherence to regulatory frameworks, including AI-specific compliance guidelines Facilitate responsible adoption of AI technologies in line with organizational policies Strengthen internal capabilities to manage AI governance and compliance without sole reliance on external consultants Prepare staff to participate in AI risk management, audits, and policy implementation Which topics are covered in the A4Q AI Compliance syllabus? The certification exam is based on 16 exam-relevant chapters, covering all fundamental EU AI Act concepts, from introductory compliance principles through high-risk requirements, GPAI obligations, transparency duties, CE-related documentation, harmonized standards, and global interfaces. The syllabus also contains optional chapters providing additional insight into practical exercises, roadmap development, and future regulatory evolution; these optional chapters are not examined. The official syllabus, covering core EU AI Act concepts such as: Introduction to AI compliance and the EU AI Act Risk-based classification and Annex III high-risk systems Prohibited practices High-risk obligations (risk management, oversight, documentation, data governance, accuracy, robustness, cybersecurity) Transparency and labeling requirements General-Purpose AI (GPAI) obligations Conformity assessment and CE-related documentation Post-market monitoring and incident reporting Governance, policies, and organizational roles Harmonized standards and global interfaces Optional chapters offer practical exercises, roadmap development, and insight into future regulatory evolution. These optional topics support deeper understanding but are not part of the examination. What other certifications can you recommend? A4Q AI Essentials A4Q AI Foundation ISTQB® Certified Tester - AI Testing (CT-AI) ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI)

AI is transforming the way businesses operate, but unmanaged risks can lead to regulatory penalties, reputational damage, and loss of trust. With the EU AI Act now in force, organizations need professionals who understand AI risks, ask the right questions, and ensure responsible use. The A4Q AI Portfolio consists of three complementary modules: AI Essentials: A non-technical introduction to AI literacy, risk awareness, and regulatory obligations. AI Foundation: A deeper dive into how AI systems work and how to apply them responsibly. AI Compliance: Focused on regulatory alignment, risk categories, and organizational responsibilities under the EU AI Act. The A4Q AI Foundation Level certification is a globally recognized qualification in artificial intelligence. It equips professionals and organizations with the knowledge needed to understand how AI works, where it can be applied in business, and how to introduce it responsibly. The official syllabus covers the fundamentals of AI, including machine learning, neural networks, natural language processing, computer vision, and the data lifecycle. It explores practical use cases such as customer analysis, marketing automation, pricing, supply chain management, and customer service. A distinctive feature of this certification is its focus on generative AI, with examples of how tools like ChatGPT and Gemini can support real-world business activities. It also addresses the regulatory and ethical framework for adoption, with special emphasis on the EU AI Act and the General Data Protection Regulation (GDPR). By achieving this certification, you demonstrate your ability to recognize, understand, and apply artificial intelligence concepts in organizational contexts, thereby supporting both innovation and compliance. Note: The AI Foundation certification is valid for a period of two (2) years from the date of issue. After this period, recertification is required to maintain the validity of your credential. How do I obtain the A4Q AI Foundation Level certification? To earn the certification, you must pass the A4Q AI Foundation exam: 40 multiple-choice questions 60 minutes duration (plus 15 minutes for non-native speakers) Pass mark: 65 percent (26 correct answers) Based on the official syllabus (excluding appendices) Preparation is available through A4Q-accredited training providers, who deliver at least 14 hours of instruction worldwide in classroom, online, or blended formats. The certification is awarded when the exam is successfully passed. You can also test your knowledge without obligation and free of charge before taking the live exam by A4Q AI-Foundation online sample exam. Who should take the A4Q AI Foundation Level certification? The A4Q AI Foundation certification is designed for a very broad audience: Business leaders and consultants IT and compliance professionals Employees in marketing, sales, operations, and many other areas Since AI is becoming part of everyday business, this certification is valuable for almost everyone in an organization who wants to: Understand AI Apply AI in practice Benefit from AI responsibly What are the entry requirements for the certification? There are no formal prerequisites. Candidates will benefit from: General familiarity with IT or business processes Interest in digital transformation and data-driven decision-making The syllabus is designed to be accessible to professionals from any background and does not require coding or data science knowledge. What are the benefits of the A4Q AI Foundation Level certification? For individuals: Gain an internationally recognized certification in artificial intelligence Demonstrate the ability to understand and apply AI concepts in business-relevant contexts Explore how generative AI tools such as ChatGPT and Gemini can support tasks like reporting, analysis, and communication Build awareness of the compliance environment, including the EU AI Act and GDPR Strengthen career opportunities in IT, business analysis, governance, and transformation For organizations: Develop teams with a shared understanding of AI and its business value Ensure compliance with major frameworks such as the EU AI Act and GDPR Support responsible adoption of artificial intelligence across departments Reduce dependency on external consultants by building internal knowledge Prepare staff to contribute to AI change management and strategy development Which topics are covered in the A4Q AI Foundation Level syllabus? The syllabus is structured into eight chapters: Introduction to Artificial Intelligence – history, milestones, and economic impact Technology Overview – machine learning, neural networks, natural language processing, computer vision, training methods, and the data lifecycle Practical Applications – examples from customer analysis, pricing, supply chain, marketing, and customer service Prompts – how to design, refine, and reuse prompts for generative AI tools Assistance Systems – business applications, benefits, limitations, and integration strategies Regulation and Ethics – the EU AI Act, GDPR, fairness, transparency, and human oversight Change Management – employee engagement, organizational readiness, and cultural transformation Developing an AI Roadmap – adoption phases, best practices, and governance frameworks What other certifications can you recommend? A4Q AI Essentials A4Q AI Compliance ISTQB® Certified Tester - AI Testing (CT-AI) ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI)