Artificial Intelligence Fundamentals Certificate Practice Test

This certificate is well-suited for students, recent graduates, and early-career professionals who are new to AI and want to establish a verifiable baseline of AI knowledge. It is equally valuable for experienced IT professionals, auditors, risk managers, compliance officers, and business analysts who need to understand AI concepts and their organizational implications without necessarily working in a technical AI role.

Professionals seeking to transition into AI-adjacent roles — such as AI governance, IT audit with an AI focus, or risk and compliance in organizations adopting AI — will find this credential a practical starting point. Teams and organizations looking to upskill staff on AI fundamentals and demonstrate collective AI competency to stakeholders will also benefit from this certificate.

There are no formal prerequisites for the ISACA AI Fundamentals Certificate. Registration is open on a continuous basis with no eligibility restrictions, and candidates can schedule their exam as early as 48 hours after payment of registration fees.

While no prior AI or IT experience is required, candidates will benefit from basic familiarity with IT concepts and business processes. ISACA recommends using its official study guide and the self-guided online course — which includes performance-based labs covering topics such as machine learning models, security implementations of AI, and robotic process automation — to build the foundational knowledge needed to pass the exam.

The exam is a computer-based, remotely proctored, multiple-choice assessment consisting of 60 questions, with a time limit of 120 minutes. It is delivered online through ISACA's remote proctoring platform and can be scheduled at any time, providing candidates with scheduling flexibility. No in-person testing center is required.

The passing score is 65% (39 out of 60 questions correct). The exam registration fee is US $120 for ISACA members and US $144 for non-members. Eligibility established at registration is valid for twelve months, and candidates may schedule their testing appointment up to 90 days in advance.

• 1.Domain 1 — AI Concepts (50%): Covers the foundational characteristics and terminology of artificial intelligence, including machine learning paradigms (supervised, unsupervised, and reinforcement learning), neural networks, large language models (LLMs), generative AI, computer vision, robotic process automation (RPA), statistical modeling, and regression analysis. Candidates must demonstrate understanding of how these technologies function and their core distinctions.
• 2.Domain 2 — AI Implementations (50%): Covers the practical principles and applications of AI, including essential algorithms and software used to build and deploy AI systems, real-world AI use cases across business and IT contexts, and performance-based skills such as working with machine learning models and security implementations of AI. Candidates must demonstrate the ability to identify how AI can be applied and leverage fundamental tools to explore AI possibilities, as well as understand associated risks, ethical requirements, and governance considerations that guide responsible AI deployment.

• Use the official ISACA AI Fundamentals Study Guide (2nd Edition) as your primary resource — it is authored by global industry experts, maps directly to exam domains, and includes example questions with annotated answers aligned to the 65% passing threshold.
• Complete the ISACA self-guided online course, which earns 5 CPE credits and blends knowledge-based learning with hands-on performance labs covering machine learning models, AI security implementations, and robotic process automation — topics that appear in the AI Implementations domain.
• Download and thoroughly review the official ISACA Exam Candidate Guide before registering. It details exam rules, proctoring requirements, scoring methodology, and the retake policy, helping you avoid procedural surprises on exam day.
• Since the exam is split equally between AI Concepts (50%) and AI Implementations (50%), allocate study time evenly between understanding theoretical AI principles and practicing applied scenarios. Do not over-focus on one domain at the expense of the other.
• Practice with the ISACA Lab Package (4.5 CPE credits), which provides a virtual environment to interact with AI tools hands-on. Practical exposure to ML models and RPA reinforces conceptual understanding and prepares you for performance-based application questions.
• Review ISACA's published resources on AI ethics, AI governance frameworks, and AI risk management — topics that cut across both exam domains. ISACA's whitepaper library and AI resource hub (isaca.org/resources/artificial-intelligence) offer free materials directly aligned to the certificate's scope.
• Take at least one full-length timed practice exam under realistic conditions (2 hours, 60 questions) before your scheduled test date to calibrate your pacing. Aim to answer each question in under 2 minutes to ensure you complete the exam comfortably within the time limit.

The ISACA AI Fundamentals Certificate positions holders as credibly literate in AI at a time when organizations across every sector are integrating AI into operations, governance, and risk management. It provides a competitive edge for roles such as IT auditor, risk manager, compliance analyst, AI governance consultant, and business analyst — particularly as organizations seek professionals who can evaluate AI systems, identify associated risks, and ensure responsible AI deployment. The certificate also serves as a stepping stone to advanced ISACA AI credentials such as the AAIA (Advanced in AI Audit) and AAISM (Advanced in AI Security Management).

Certified professionals consistently earn salary premiums over non-certified peers. ISACA's research indicates that certified IT professionals earn an average of 15% more, and certified auditors can command 10–20% higher compensation than non-certified counterparts according to industry salary guides. ISACA's broader credentialing community of 185,000+ professionals spans more than 190 countries, providing global recognition and networking value for this foundational AI credential.