AI Certifications in 2026: Governance, Security and Cloud AI

As organisations adopt AI, demand has grown for people who can build, govern, secure and audit AI systems. Certification bodies have responded with a wave of new AI certifications. Some focus on technical skills, others on governance, risk and compliance. Because many of these AI certs are recent, their names, formats and recognition are still evolving. This guide groups the main options, explains who each suits and offers a way to decide which AI certification is worth your time.

New regulations and standards, such as the EU AI Act and ISO/IEC 42001, have created practical work for governance, risk, legal, audit and security teams. At the same time, cloud platforms have made machine learning services more accessible to developers and engineers. Certifications help professionals show structured knowledge in an area where formal training is still catching up. They do not replace experience, but they can help you move into AI-related work and give you a structured way to learn a fast-moving field.

AI governance: IAPP AIGP

The Artificial Intelligence Governance Professional (AIGP) from the IAPP is aimed at people responsible for AI governance, including privacy, legal, compliance, risk and product professionals. It covers how AI works at a conceptual level, relevant laws and frameworks, and how to manage AI risk across the lifecycle. It does not require coding skills, but it does expect you to understand concepts such as training data, model evaluation, bias and transparency well enough to discuss risk with technical teams.

AIGP suits people who sit between the business, legal and technical sides of an AI programme: writing AI policies, running impact assessments, reviewing vendors or preparing for regulatory obligations. As with any IAPP credential, check the current body of knowledge and candidate handbook, as content is revised to reflect new laws and frameworks. See our AIGP exam coaching for how we support candidates.

AI audit and AI security: ISACA AAIA and AAISM

ISACA has introduced advanced AI credentials designed for professionals who already hold certain certifications:

• Advanced in AI Audit (AAIA) is aimed at IT auditors, typically building on a credential such as CISA, and focuses on auditing AI governance, operations and tools.
• Advanced in AI Security Management (AAISM) is aimed at security managers, typically building on CISM or CISSP, and focuses on managing AI-related security risk.

Both are relatively new, and ISACA sets specific prerequisite credentials. Check ISACA's current eligibility rules before planning around them. If you do not yet hold a base credential, consider CISA or CISM first; both are valuable in their own right and open the door to the AI extensions later.

Management systems: ISO/IEC 42001

ISO/IEC 42001 is an international standard for AI management systems. Several training and certification bodies offer personal certifications such as ISO/IEC 42001 Foundation, Lead Implementer and Lead Auditor. These suit consultants, compliance professionals and auditors helping organisations implement or assess an AI management system. Course content and exam formats vary between providers, so compare them carefully and check that the provider is reputable.

If you already work with ISO/IEC 27001 for information security, much of the management system structure will feel familiar: context, leadership, planning, support, operation, performance evaluation and improvement. The AI-specific parts focus on topics such as AI risk and impact assessment and controls across the AI system lifecycle.

Technical and cloud AI certifications

For engineers, developers and data professionals, vendor certifications focus on building and running AI solutions:

• NVIDIA offers certifications in areas such as generative AI and large language models, AI infrastructure and operations.
• AWS offers AI and machine learning certifications, including an entry-level AI practitioner exam and associate or specialty machine learning tracks.
• Microsoft Azure and Google Cloud both offer AI and machine learning certifications, from fundamentals to engineer-level exams.

Cloud vendors change and retire AI exams faster than most, so check the official certification page for current exam codes and availability. Technical AI exams generally reward hands-on practice: building, deploying and monitoring models in a real environment teaches far more than reading service descriptions.

How to choose an AI certification

1. Match the certification to your role. Governance and legal professionals usually get more value from AIGP or ISO/IEC 42001; auditors and security managers from ISACA's advanced credentials; engineers from vendor tracks.
2. Check prerequisites. Some advanced credentials require an existing certification.
3. Look at real demand. Search job adverts in your market. Because many AI certifications are new, recognition differs widely between employers and regions.
4. Consider combinations. An AI credential often carries most weight alongside an established certification such as CISA, CISM, CISSP or a cloud associate exam.

Our overview of AI certifications lists the exams we currently support.

How to prepare

• Start with the official body of knowledge or exam outline and use it as your checklist.
• Read the key frameworks and standards directly where the exam relies on them.
• Practise with scenario-based questions that include explanations.
• Expect official preparation material to be thinner for newer exams, and plan extra time to build your own notes.

Pitfalls to avoid with new AI certifications

• Chasing badges instead of skills. Short online courses that issue a certificate of completion are not the same as a proctored certification exam. Both can be useful, but be clear which you are getting.
• Ignoring prerequisites and renewal. Some AI credentials require an existing certification, and most require continuing education to stay active.
• Studying outdated material. AI laws, frameworks and cloud services change quickly. Check that third-party resources match the current exam outline.
• Trusting "real exam question" offers. They breach certification agreements and are especially unreliable for new exams.

How a personal 1-to-1 assistant helps

New certifications often come with limited study resources, which makes guidance more valuable. A FoxyCert personal 1-to-1 assistant helps you understand the exam outline, plan your study, interpret frameworks and practise with explanations, with Telegram support until you pass. You always sit the exam yourself. If you plan an AI certification alongside a base credential, see our bundles.