- The Short Answer: What ITS-AI Means
- Reading the Name Word by Word
- Who Stands Behind the Credential
- What the Credential Covers: Six Official Objective Domains
- The Outline Conflict: Old Five-Domain Versus Current Six-Domain Coverage
- What the Meaning Looks Like on Test Day
- Scoring, Validity and Voucher Expiry
- Who Benefits From the Credential
- Sequencing the Domains in Your Preparation
- Frequently Asked Questions
- ITS-AI stands for Information Technology Specialist - Artificial Intelligence, an exam-based credential issued by Pearson and delivered through Certiport.
- The current English objectives list six domains, from AI Problem Definition through Maintaining and Monitoring AI in Production.
- The exam is a proctored knowledge assessment of 45-50 questions with a 50-minute maximum; the passing score is 700 on a 1-1000 scale.
- Pearson's resources page still links a legacy five-domain outline, so confirm you are studying the revised six-domain document.
The Short Answer: What ITS-AI Means
ITS-AI is shorthand for Information Technology Specialist - Artificial Intelligence. It is the exam and credential Pearson publishes as "IT Specialist - Artificial Intelligence," administered through Certiport, a Pearson VUE business. When you see ITS-AI on this site, that is the only credential we mean. If you want the plain-language version of the same question, our pages on what ITS-AI is and what ITS-AI stands for cover it from slightly different angles.
The meaning goes beyond the acronym. The credential is a statement about knowledge: that you understand how an AI initiative moves from a defined problem, through data and features, into models, and then into a deployed, monitored application. It is a knowledge assessment, not a project portfolio and not a lab-based performance test, and that distinction shapes how you prepare.
Reading the Name Word by Word
Each part of the title carries meaning, and understanding them helps you set accurate expectations.
Information Technology Specialist
"IT Specialist" is the Pearson/Certiport program family. It is a series of exam-based certifications aimed at validating foundational-to-intermediate skills in a technology area. The family label tells you the credential is positioned as a demonstrable skills signal for learners and early-career professionals rather than a vendor-specific product certification.
Artificial Intelligence
The subject area is the AI lifecycle as an end-to-end discipline. This is not a single-tool credential. The objectives span defining whether a problem suits AI at all, collecting and transforming data, engineering features, choosing and evaluating algorithms and models, integrating and deploying applications securely, and keeping them healthy once live.
Certification
"Certification" here means you pass a scored, proctored exam and receive a credential with a defined validity period. There is no application that requires a logged number of work hours. The program describes roughly 150 hours of preparation as a readiness profile, but that is guidance, not an eligibility gate. For the formal picture, see our guide to ITS-AI requirements and eligibility.
Who Stands Behind the Credential
The issuer is Pearson, and the exam is administered by Certiport, a Pearson VUE business. In Pearson's catalogue the exam carries the identifier INF-307. The objectives document itself is titled "IT SPECIALIST EXAM OBJECTIVES - Artificial Intelligence" and is published with a 2026 copyright.
That issuer chain matters for two practical reasons. First, delivery runs through established testing infrastructure: Pearson VUE test centers, the OnVUE online proctoring option, or the separate Certiport Authorized Testing Center (CATC) channel often used by schools and training providers. Second, policy for scoring, certification expiration and candidate conduct is published by Certiport, which gives you a definitive source for the rules rather than relying on third-party summaries.
What the Credential Covers: Six Official Objective Domains
The clearest way to understand what ITS-AI means is to read the six objective domains in the current English document. These are official exam objectives, not a prescribed curriculum, so how you learn the material is up to you. Pearson does not publish percentage weights for them, so treat any weighting you see quoted for a domain with caution. Our full walkthrough lives in the ITS-AI exam domains guide; here is the meaning-level summary.
Domain 1: AI Problem Definition
Before any model exists, a practitioner must decide whether and how AI applies. This domain frames the exam's opening logic.
- Assessing feasibility: is the problem suited to an AI approach, and are the resources realistic?
- Translating a business need into a well-formed AI task
- Understanding how human interaction with the eventual system should be considered from the start
Domain 2: Data Collection and Transformation
Data quality drives everything downstream, so this domain tests how data is sourced and prepared.
- Collecting data from appropriate sources
- Cleaning, transforming and preparing data for modeling
- Recognizing data issues that would undermine a model
Domain 3: Feature Engineering
The current coverage treats feature engineering as its own domain rather than folding it into data handling.
- Selecting and constructing inputs a model can learn from
- Understanding how feature choices affect model performance
- Connecting engineered features to the modeling approach that follows
Domain 4: AI Algorithms and Models
The technical center of the exam, covering how models are chosen, trained and judged.
- Matching algorithm families to problem types
- Natural language processing concepts
- Model-evaluation metrics and how to interpret them
- Explainability: why a model produced a given output
Domain 5: Application Integrity and Deployment
This is the revised document's exact domain name. Application integration remains objective 5.1.
- Integrating AI into applications
- CI/CD concepts as they apply to AI delivery
- Security considerations for AI-enabled applications
Domain 6: Maintaining and Monitoring AI in Production
The lifecycle does not end at launch, and neither does the exam.
- Monitoring live behavior and detecting drift
- Maintaining performance over time
- Decommissioning systems responsibly when they reach end of life
Notice what the structure says about the credential's philosophy: it is lifecycle-oriented. A candidate who only knows model training will struggle, because roughly half the domain list sits before or after the modeling step. That framing is one reason people ask how hard the ITS-AI exam is; the difficulty comes from breadth across the lifecycle more than from deep mathematical derivation.
The Outline Conflict: Old Five-Domain Versus Current Six-Domain Coverage
One of the most useful things to know about the meaning of ITS-AI right now is that the published sources do not fully agree. Certiport announced an update to the IT Specialist AI certification on April 29, 2026, and listed the English content update as taking effect June 30, 2026. The revised public objectives document runs to five pages and ends at objective 6.5.
However, Pearson's general IT Specialist resources page still links an older outline carrying a 2025 copyright, which uses five domains. That legacy document should not be treated as complete current English coverage. Some retail practice products also retain legacy headings.
| Aspect | Legacy outline (2025 copyright) | Revised objectives (2026 copyright) |
|---|---|---|
| Number of domains | Five | Six |
| Feature engineering | Not a separate domain | Domain 3, standalone |
| Deployment domain name | Older heading | Application Integrity and Deployment |
| Monitoring and decommissioning | Less granular | Domain 6, including drift and decommissioning |
| Where it appears | Linked from Pearson's general resources page | Certiport's ITS AI2 objectives page |
What the Meaning Looks Like on Test Day
Understanding the credential includes understanding the event. The ITS-AI exam is a computer-based, proctored knowledge assessment. Pearson's MindhubPro listing estimates 45 to 50 questions with a 50-minute maximum. That is a variable range, not a fixed form count, so do not plan around exactly 45 or exactly 50 items. The 50-minute limit is timed exam time and excludes administrative steps and the tutorial.
You can test through a Pearson VUE center, through OnVUE online proctoring with a system check and a live webcam proctor, or through the separate CATC channel. An older IT Specialist exam tutorial, copyrighted 2021, describes how answer-option navigation works, but its generic 36-40 question estimate predates the exam-specific listing, so rely on the 45-50 range for this exam.
Fees and vouchers
Two price points appear in the source material:
- Exam-only voucher: USD 127 web/member pricing on Pearson MindhubPro. It is country-restricted, unavailable in some listed markets, and expires 12 months after purchase.
- CATC voucher with retake: USD 133, US-only, and not usable at Pearson VUE centers or through OnVUE. Proctoring may cost extra.
Voucher expiry is a separate matter from credential validity. Buying a voucher starts a 12-month window to sit the exam; it has nothing to do with how long the credential lasts once earned. For the full cost picture, see our ITS-AI certification cost breakdown, and for scheduling logistics, the ITS-AI exam dates guide.
CATC conditions
If you test through a Certiport Authorized Testing Center, expect photo and signature ID, a non-disclosure agreement, parental consent for candidates under 18, and a rule against personal paper or communication devices in the testing area.
Scoring, Validity and Voucher Expiry
The passing score is 700 on a 1-1000 scale. This is a scaled score, so it is not a raw 70% requirement, and you cannot back-calculate a number of correct answers from it. Certiport does not publish pass rates, which is why you should be skeptical of any site quoting a specific percentage; our pass rate analysis explains what can and cannot be said, and the passing score guide details the scaling.
| Item | Fact |
|---|---|
| Passing score | 700 on a 1-1000 scaled score |
| Question count | Estimated 45-50 (variable) |
| Time limit | 50 minutes maximum, timed exam time only |
| Credential validity | Five years for awards on or after June 18, 2025 |
| Earlier awards | Remain nonexpiring |
| Recertification | New voucher and a passing result on the current exam |
| Voucher expiry | 12 months after purchase (separate from validity) |
The five-year validity applies to awards earned on or after 2025-06-18. Awards earned before that date remain nonexpiring. When a five-year credential lapses, recertifying means buying a new voucher and passing the then-current exam, which could differ in content from the one you first passed.
Who Benefits From the Credential
The program does not require a degree beyond command of the objective-domain knowledge, which makes the credential accessible to students, career changers and working IT staff who want a verified AI literacy signal. The program suggests approximately 150 hours of preparation as a readiness profile. That figure describes how much study the program anticipates, not a verified requirement you must document.
Typical audiences include:
- Students and recent graduates who want a recognizable, exam-verified AI credential on a resume
- IT support and operations staff moving toward AI-adjacent responsibilities
- Analysts and developers who need to speak credibly about the whole AI lifecycle, including deployment, security and monitoring
- Educators and training programs that use the IT Specialist family for classroom credentialing
We deliberately avoid quoting salary numbers here because the issuer does not publish earnings data tied to this credential. For a qualitative look at the hiring side, the ITS-AI jobs and salary guide pages discuss what employers tend to look for, and the ROI analysis helps you weigh the voucher cost against likely benefit.
Sequencing the Domains in Your Preparation
You do not need a generic study system here; you need an order that respects how the domains depend on each other. This is one possible arrangement across roughly six weeks, tied directly to the objective domains.
Problem framing and data
- Domain 1: practice judging feasibility and framing a task
- Domain 2: data sourcing, cleaning and transformation basics
Feature engineering
- Domain 3 on its own, since it is a standalone domain in the current objectives
- Link each feature technique to the data issues from Domain 2
Algorithms, NLP and evaluation
- Domain 4 gets two weeks: it holds the most technical vocabulary
- Cover NLP, explainability and evaluation metrics explicitly
Integration, CI/CD and security
- Domain 5, beginning with objective 5.1 on application integration
Production and full review
- Domain 6: drift, monitoring, decommissioning
- Timed mixed-domain practice in the 45-50 question, 50-minute format
Key Takeaway
Build your plan from the 2026 six-domain objectives, not from a retail practice bank's headings. Then use timed mixed sets from our ITS-AI practice tests to rehearse the 50-minute pace. For a fuller plan, see the ITS-AI study guide, the one-page cheat sheet, and the training options overview.
Frequently Asked Questions
ITS-AI stands for Information Technology Specialist - Artificial Intelligence. It is the Pearson/Certiport credential published publicly as IT Specialist - Artificial Intelligence. Our page on what ITS-AI means and the overview of the certification give additional background.
No. It is an exam-based certification. You earn it by passing a proctored knowledge assessment with a scaled score of 700 or higher on a 1-1000 scale. No degree is required beyond the objective-domain knowledge, and the roughly 150-hour preparation figure is a readiness profile rather than a logged-hours requirement.
The revised English objectives list six domains: AI Problem Definition; Data Collection and Transformation; Feature Engineering; AI Algorithms and Models; Application Integrity and Deployment; and Maintaining and Monitoring AI in Production. An older five-domain outline is still linked from Pearson's general resources page and should not be treated as complete current English coverage.
Awards earned on or after June 18, 2025 are valid for five years. Earlier awards remain nonexpiring. To recertify, you buy a new voucher and pass the current exam. Voucher expiry, 12 months from purchase, is a separate clock from credential validity.
You can test at a Pearson VUE center, online through OnVUE with a system check and a live webcam proctor, or through the separate Certiport Authorized Testing Center channel. CATC vouchers are not usable at Pearson VUE centers or through OnVUE, so buy the voucher that matches your intended delivery route.