People usually pick a credential by reading the titles and choosing the most senior-sounding one. That is backwards. The credential is a claim an employer will read next to your job title, and the two have to agree.
Here is the map, and the question that sorts you into it.
The question
Not "what do I want to be." Ask: what will I be doing with AI within the next twelve months, on work someone is paying me for? Applying it inside a role you already have is a different credential from governing how an organization uses it, which is different again from teaching it.
The structure in one table
| Level | Credential |
|---|---|
| Foundation | AI Awareness — the prerequisite for every credential |
| Tier 1 | CAA — Certified AI Analyst |
| Tier 2 | CAPE — Certified AI Prompt Engineer |
| Tier 2 | CAC — Certified AI Consultant |
| Tier 2 | CAIPM — Certified AI Project Manager |
| Tier 2 | CAIT — Certified AI Trainer |
| Tier 2 | CAICO — Certified AI Compliance Officer |
| Tier 3 | CANN — Certified AI Nexus Negotiator |
| Tier 3 | CAHI — Certified AI Healthcare Integrator |
| Tier 3 | CAHA — Certified AI HR Administrator |
| Tier 3 | CASP — Certified AI Sustainability Practitioner |
The credential names are deliberately literal: each one is named for the job it belongs to. What every credential requires, and what each one tests, is published on the credentials page — read that before you enrol rather than inferring it from the title.
What every credential shares
Every Tier 2 and Tier 3 credential includes the same four program capstones — Business, Prompt Engineering, Governance, and Workforce — so that any NAICB professional, regardless of specialization, shares a common core of applied skill. That is deliberate. A specialization is only meaningful if there is a floor underneath it.
Four common situations
"I use AI at work but it is not my job." Foundation, then CAA. Every credential starts there, and Tier 1 keeps every specialization open to you afterwards.
"I have been told to write our AI policy." Look at CAICO, the compliance credential. Policy ownership is where the exposure sits - acceptable use, vendor review, records, and what happens when someone pastes something they should not have.
"I teach, and now I have to teach this." Look at CAIT, the trainer credential. Instructing on AI is a distinct competence from using it, and it is increasingly something organizations ask trainers to evidence.
"I advise other businesses." Look at CAC, the consultant credential. Consultants sell credibility, and a verifiable credential is easier for a client to check than a claim.
What not to do
- Do not collect credentials. Three unrelated ones read as shopping, not expertise.
- Do not skip the fit question because a tier sounds senior. Employers read the pairing, not the tier number.
- Do not list a credential you have not earned yet. "In progress" is honest and it is fine. Anything else surfaces in a background check.
How to decide today
Read your own job description. Underline the parts that will involve AI in the next year. Then match those lines to the table above and pick the credential that describes what you underlined. If nothing matches cleanly, start at Foundation and Tier 1 — that path stays open to every specialization later.
Questions people ask
Do I have to start at the Foundation level?
Yes. AI Awareness is the prerequisite for every NAICB credential. It establishes a shared baseline so that a Tier 2 or Tier 3 credential means the same thing regardless of which specialization it sits in.
Can I hold more than one credential?
Yes, and specialists commonly do. The tiers stack rather than compete: Tier 1 establishes applied analysis, Tier 2 adds a professional function, Tier 3 adds a domain.
How long does it take to earn a credential?
It depends on the tier and how much of the coursework you take at once. The limiting factor for most working professionals is scheduling the classes, not the assessment itself.
Is a higher tier always better?
No. A credential that does not match your work is worth less than one that does, because the value is in what an employer can infer from it. A Certified AI Trainer who delivers training is more credible than the same person holding an unrelated specialist credential.
What if my role does not fit any of them?
Start with Tier 1. The Certified AI Analyst credential covers applied AI work that cuts across roles, and it is the prerequisite for every specialization if you later decide to add one.