The AWS Certified AI Business Strategist (AIB-C01) is the first AWS certification that does not ask you to touch the console. No coding, no service configuration, no prior AWS certification required. Registration opened on 1 September 2026 and beta exam delivery began on 29 September 2026, which puts the exam in the short window where it costs $50 instead of the standard $100.
If you have been watching the AWS AI track fill up with developer and engineer credentials, this is the one aimed at the person signing off the budget rather than writing the prompt. This guide covers what the exam actually tests, the four domain weightings straight from the AWS exam guide, what the beta costs and how AIB-C01 compares to the AWS Certified AI Practitioner most people take first.
What the AWS Certified AI Business Strategist Actually Tests
AWS describes the target candidate as a business professional who evaluates, champions or scales AI initiatives, working alongside technical teams without building the solutions. The listed roles are product managers, programme managers, sales professionals, line-of-business managers, consultants, marketers and business analysts.
The recommended background is about six months working with or alongside teams adopting AI. That is a low bar by AWS standards, and deliberately so.
The exam validates that you can:
- Apply AI concepts and terminology to a business context
- Choose a solution type based on business requirements and constraints
- Use generative AI techniques, including prompt engineering and model adaptation, to reach a business outcome
- Measure AI value using KPIs, ROI frameworks and baseline metrics
- Apply responsible AI principles when a decision involves a tradeoff
- Establish governance structures and meet regulatory compliance obligations
- Assess organisational AI readiness across people, process, technology and governance
- Scale AI from pilot to enterprise deployment
What Is Explicitly Out of Scope
AWS publishes an out-of-scope list, and it is unusually long. You will not be asked to develop or code models, perform feature engineering, tune hyperparameters, build pipelines, run statistical analysis, implement security protocols, configure AWS services, or do hands-on data cleaning and labelling.
Exam Tip: AWS states that the exam does not assess AWS services knowledge in the way a technical exam does. You still need familiarity with Amazon Bedrock, Amazon SageMaker AI and Amazon Quick at a business level, including pricing models and where each one fits, but you are being tested on the decision rather than the deployment.
You are also expected to know three AWS frameworks in a governance sense: the AWS Cloud Adoption Framework for planning and scaling AI programmes, the shared responsibility model as it applies to AI workloads, and the Well-Architected Framework Responsible AI Lens.
The Four AIB-C01 Domains and Weightings
The domains are evenly balanced, with strategy taking the largest share. These weightings come from the official AWS exam guide.
| Domain | Topic | Weighting |
|---|---|---|
| 1 | AI Fundamentals and Literacy | 24% |
| 2 | AI Strategy and Business Value Creation | 28% |
| 3 | AI Governance and Responsible AI Leadership | 24% |
| 4 | Business Readiness, Leadership and AI Transformation | 24% |
That spread matters for how you revise. There is no small domain to skip. Domain 2 is worth roughly one question in three and centres on business cases, ROI frameworks and competitive positioning, so if your background is technical rather than commercial, that is the domain that will cost you.
Domain 3 pulls in regulatory compliance and enterprise AI risk. Anyone who has worked through an AI governance credential such as AIGP will find a quarter of this exam already familiar.
Cost, Format and the Beta Window
The beta form is longer than the exam will eventually be, which is normal: a beta carries extra unscored questions while AWS calibrates the item bank.
| Detail | AIB-C01 beta | AIB-C01 standard |
|---|---|---|
| Price | $50 USD | $100 USD |
| Questions | 85 | Not yet published |
| Time | 170 minutes | 130 minutes (per the exam guide) |
| Delivery | Pearson VUE test centre or online proctored | Same |
| Languages | English, Japanese | English, Japanese |
Scoring is scaled from 100 to 1,000 with a pass mark of 700, and the model is compensatory. You do not need to pass each domain individually, only the exam overall. Question types are multiple choice with one correct answer out of four, and multiple response where you must select every correct option out of five or more to score.
Exam Tip: Unanswered questions are scored as incorrect and there is no penalty for guessing. Answer every question, including the multiple-response ones you are unsure about.
Two things are worth knowing about beta exams specifically. Results take considerably longer than the usual same-day turnaround, because AWS scores the whole cohort together once the beta window closes. And candidates who certify by 15 February 2027 receive an Early Adopter digital badge on top of the certification itself.
Like all AWS certifications, AIB-C01 is valid for three years.
AIB-C01 vs AWS Certified AI Practitioner: Which One
This is the question most people arrive with, because AIF-C01 has been the default entry point to the AWS AI track since 2024. They are not competing exams. They test different halves of the same problem.
| AIB-C01 | AIF-C01 | |
|---|---|---|
| Full name | AWS Certified AI Business Strategist | AWS Certified AI Practitioner |
| Category | Business | Foundational |
| Focus | Strategy, governance, ROI, adoption | AI and ML concepts, AWS AI services |
| Coding required | No | No |
| Questions | 85 (beta) | 65 |
| Time | 170 minutes (beta) | 90 minutes |
| Price | $50 beta, $100 standard | $100 |
AIF-C01 asks what a foundation model is, when to fine-tune versus use retrieval augmented generation, and which AWS service does which job. AIB-C01 asks whether the project should be funded, what the KPI is, who owns the risk and how you take it from pilot to production.
If your job title contains "engineer" or "developer", AIF-C01 is still the better first exam and the sensible route onward is the AWS Certified Generative AI Developer (AIP-C01) or the machine learning associate track, which moves to MLA-C02 this year. If you own a budget, a roadmap or a client relationship, AIB-C01 is the one that matches what you get asked in meetings. We covered whether AI Practitioner earns its keep separately.
Holding both is a reasonable play for consultants and pre-sales staff, and the overlap in Domain 1 means the second one costs less study time than the first.
Should You Sit the Beta or Wait?
The case for sitting it now is straightforward. You pay half price, you get the Early Adopter badge if you certify by 15 February 2027, and you hold a credential almost nobody else has while it still signals something.
The case for waiting is equally real. Beta questions have not been through the usual statistical validation, so a handful of the items you sit may end up thrown out. Results are slow. And there is no third-party study material worth the name yet, because the exam is days old.
Sit the beta if you are
- Already working on AI adoption, governance or business cases day to day
- Comfortable with AI vocabulary and AWS AI services at a conceptual level
- Able to revise from the exam guide and AWS documentation without a course
- Motivated by the price and the Early Adopter badge
Wait for general availability if you are
- New to AI concepts and want a structured course first
- Uncomfortable sitting an exam with no published pass-rate history
- Needing the result on a fixed date for a job application or appraisal
How to Prepare Without a Course
There is no exam-specific book yet, so build revision around the primary sources.
- Read the official exam guide end to end. It lists tasks and skills per domain, plus in-scope and out-of-scope AWS services. It is the closest thing to a syllabus that exists.
- Learn three services at a business level. Amazon Bedrock (pricing tiers, Guardrails, Knowledge Bases), Amazon SageMaker AI (when managed beats custom) and Amazon Quick. You need to know what each is for and what it costs, not how to configure it.
- Work through the three frameworks. AWS Cloud Adoption Framework, the shared responsibility model for AI workloads, and the Well-Architected Framework Responsible AI Lens.
- Practise the money questions. AWS pricing structures (consumption, instance and seat based), Savings Plans, the AWS Pricing Calculator, Cost Explorer, and AWS Marketplace for build-buy-partner decisions. Domain 2 is 28% of the exam and this is where it lives.
- Drill scenario questions. The format rewards reading a business situation and picking the defensible decision. Practice questions from the AWS AI Practitioner bank cover the Domain 1 literacy material and get you used to the AWS question style.
Two to three weeks of evening study is realistic for someone already working near AI adoption. Give it six if the vocabulary is new.
Frequently Asked Questions
Is the AWS AI Practitioner certification worth it?
For technical staff and career changers, yes. AIF-C01 is the cheapest credible way to prove you understand foundation models, prompting and the AWS AI service catalogue, and it feeds directly into the associate and professional AI exams. For a business audience the answer is changing, because AIB-C01 now covers the strategy and governance material that AIF-C01 only touches.
How much does AWS AI certification cost?
AWS Certified AI Practitioner (AIF-C01) is $100 USD. AWS Certified AI Business Strategist (AIB-C01) is $100 USD at standard price, currently discounted to $50 USD during the beta window that opened on 29 September 2026. Prices vary with local taxes and exchange rates.
Does AIB-C01 require any prior AWS certification?
No. There is no prerequisite certification and no coding or hands-on AWS implementation experience is required. AWS recommends a baseline of roughly six months working with or alongside teams adopting AI.
What is the pass mark for AIB-C01?
The exam is scored on a scaled range of 100 to 1,000 and the minimum passing score is 700. Scoring is compensatory, so a weak domain can be offset by strong performance elsewhere.
How long does an AWS certification last?
Three years. After that you either retake the current version of the exam or, where AWS offers one, complete the recertification path for that credential.
Ready to Start Practising?
AIB-C01 is a rare thing: an AWS certification with a genuinely thin field of candidates and a half-price window attached. The people who sit it in the next few months will be explaining it to their colleagues rather than competing with them for the badge.
Domain 1 is a quarter of the exam and it is pure AI literacy, which is exactly what the AI Practitioner question bank drills. Start there, then work outward into strategy, governance and adoption using the exam guide.
CertCrush gives you exam-style questions with full explanations, so you learn why an answer is defensible rather than memorising which letter it was. Create a free account and start practising today.