IT, Cloud & Cybersecurity • Certification
AWS Certified AI Practitioner
Show foundational AI, ML and generative AI fluency on AWS.
Researched and maintained by TestPrepPilot Editorial BoardCloud, IT & cybersecurity certifications desk · Figures last verified August 2026
The short version
What is the AWS Certified AI Practitioner and is it worth it?
AIF-C01 is a 90-minute foundational exam with 65 questions, costing $100 and requiring a 700 score to pass. It is AWS's broadest entry point into AI/ML and generative AI concepts.
- Vendor-neutral AI literacy on AWS
- No coding required
- Affordable at $100
- Good first step toward MLA and DEA
- Three-year validity
What is it?
What exactly is the AWS Certified AI Practitioner?
Show foundational AI, ML and generative AI fluency on AWS.
The AWS Certified AI Practitioner (AIF-C01) is a foundational exam for anyone who uses, sells, manages or advises on AI/ML and generative AI solutions on AWS, without necessarily building them. It covers AI/ML fundamentals, generative AI concepts, foundation model applications, responsible AI, and security and governance for AI solutions, with an emphasis on Amazon Bedrock and SageMaker.
The path in brief
- Learn AI/ML and generative AI basics
- Book AIF-C01
- Study Bedrock and responsible AI
- Pass at 700
- Move to MLA-C01 or DEA-C01
Before you book
Who is eligible to sit the AWS Certified AI Practitioner?
Who it is for: Business, IT and marketing professionals working with AI solutions.
The test itself
What is the format of the AWS Certified AI Practitioner?
The AWS Certified AI Practitioner is administered by Remote proctored (Pearson VUE) and runs 90 minutes, contains 65 questions (50 scored + 15 unscored) questions and requires 700 to pass.
| Administered by | Remote proctored (Pearson VUE) |
|---|---|
| Questions | 65 questions (50 scored + 15 unscored) |
| Time limit | 90 minutes |
| Pass mark | 700 |
| Exam fee | $100 |
| Format | Multiple choice and multiple response, online proctored |
Content outline
What topics are on the AWS Certified AI Practitioner?
The AWS Certified AI Practitioner is weighted across 5 domains; the largest are Applications of Foundation Models (28%), Fundamentals of Generative AI (24%), Fundamentals of AI and ML (20%).
Weightings come from the official exam outline. Study time is best allocated in roughly these proportions rather than evenly across domains.
- Fundamentals of AI and ML 20%
Concepts, lifecycle
- Fundamentals of Generative AI 24%
LLMs, embeddings, inference
- Applications of Foundation Models 28%
Bedrock, RAG, agents
- Guidelines for Responsible AI 14%
Bias, fairness, explainability
- Security, Compliance, and Governance for AI Solutions 14%
Shared responsibility, guardrails
Money & time
How much does the AWS Certified AI Practitioner cost?
For the AWS Certified AI Practitioner, the exam fee is $100; the all-in cost is typically $100; most candidates spend 2-4 weeks preparing.
Cost breakdown
| Exam fee | $100 |
|---|---|
| Typical total | $100 |
Standard AWS list price.
Timeline
- Study 2-4 weeks
- Exam 90 minutes
Typical prep: 2-4 weeks
The path
How do you register for the AWS Certified AI Practitioner?
- 1
Create an AWS Certification account5 minutes
Sign in with your AWS Training account or create one at aws.amazon.com/certification; it manages your exam registration, score report and digital badge.
- 2
Choose your exam and level
Pick the credential that matches your role. Most candidates start at Foundational (CLF/AIF) or Associate (SAA, DVA, SOA) and progress to Professional or Specialty.
- Foundational: CLF-C02, AIF-C01
- Associate: SAA-C03, DVA-C02, SOA-C03, DEA-C01, MLA-C01
- Professional: SAP-C02, DOP-C02, AIP-C01
- Specialty: SCS-C03, ANS-C01
- 3
Schedule and pay10 minutes
Book through Pearson VUE at a test centre or online proctored. Foundational and Associate cost $100/$150; Professional and Specialty cost $300.
- 4
Prepare with official resources2-12 weeks
Use the free Exam Guide, AWS Skill Builder Official Practice Questions and Builder labs. Budget 2-12 weeks depending on level.
- 5
Sit the exam
Exams are scored 100-1000 against a fixed pass mark (700 Foundational, 720 Associate, 750 Professional/Specialty). Results appear immediately.
The fine print
What are the retake and renewal rules for the AWS Certified AI Practitioner?
- Proctoring & delivery
- Delivered by Pearson VUE at a test centre or online with a live proctor. A government photo ID is required and the online environment is scanned before the session.
- Retake policy
- If you do not pass, you must wait 14 days before retaking the same exam. Each attempt is paid; there is no limit on attempts.
- Score reporting
- Exams are scored on a 100-1000 scale. Foundational pass at 700, Associate at 720, Professional and Specialty at 750. A score report shows section-level feedback under a compensatory model (no section minimum).
- Recertification
- All AWS certifications are valid for three years. Recertify by passing the latest version of the same exam, or by earning a higher-level credential that automatically refreshes lower ones (for example, DevOps Pro refreshes CloudOps Associate).
- Refunds & rescheduling
- Cancellation and reschedule rules follow Pearson VUE; refunds are generally not given for no-shows, and reschedules must occur before the cut-off window.
Context
AWS certification levels
| Level | Duration | Fee | Pass score | |
|---|---|---|---|---|
| Foundational (CLF-C02, AIF-C01) | 90 min | $100 | 700 | |
| Associate (SAA/DVA/SOA/DEA/MLA) | 130 min | $150 | 720 | |
| Professional (SAP/DOP/AIP) | 180 min | $300 | 750 | |
| Specialty (SCS/ANS) | 170 min | $300 | 750 |
What it pays
How much does this credential pay?
$112,590 median for data scientists (BLS, May 2024)
There is no Bureau of Labor Statistics occupation called "AWS AI Practitioner" — the certification validates foundational AI and machine-learning knowledge on AWS, and the wage question belongs to the role you perform with it. The closest official BLS occupation for the AI and data careers the credential serves is Data Scientists, SOC 15-2051, which had a May 2024 median wage of $112,590, with the lowest 10 percent under $68,170 and the highest 10 percent above $172,270, with Computer Support Specialists (SOC 15-1231, $61,550) as the entry benchmark. The fit must be read with an honest caveat: AI Practitioner is an entry-level fundamentals credential, so the realistic benchmark for a new holder sits far below the data-scientist median — the credential typically appears on the resume of a business professional, a career-changer or an IT professional adding AI literacy, and the AI-career wage applies only after the experience the median describes. BLS counted 197,200 data scientist jobs in 2024 and projects a striking 34 percent growth from 2024 to 2034, with about 23,400 openings a year. The limitation to state plainly: the BLS median covers the whole occupation at all levels, credentialed or not, and an entry certificate carries no wage premium in government data. Read the number as the market for the occupation the certificate is a step toward.
| Measure | Figure | Source / note |
|---|---|---|
| Median annual wage, data scientists (destination market) | $112,590 | BLS OOH, SOC 15-2051, May 2024 |
| Lowest 10 percent | Under $68,170 | BLS OOH, SOC 15-2051, May 2024 |
| Highest 10 percent | Above $172,270 | BLS OOH, SOC 15-2051, May 2024 |
| Median, computer support specialists (entry benchmark) | $61,550 | BLS OOH, SOC 15-1231, May 2024 |
Job growth.BLS projects 34 percent growth for data scientists from 2024 to 2034, about 23,400 openings per year.
Your odds
What are the pass rates?
AWS publishes no pass rate — it publishes the passing score: 700 of 1000, with a 65-question, 130-minute exam
AWS does not publish cohort pass rates for its certification exams, and third-party surveys are not official data, so we do not treat them as authoritative. What AWS does publish is the format and the passing standard: the AI Practitioner exam (AIF-C01) has 65 questions with a 130-minute time limit, and a passing score of 700 on the 100-1000 scale. The exam is delivered at Pearson VUE centres or through online proctoring, and the certification is valid for three years. The exam content follows the official exam guide, with domains covering fundamentals of AI and ML, fundamentals of generative AI, applications of foundation models, the AWS AI and ML services, and responsible AI. The absence of a published pass rate is not an absence of standards: the AI Practitioner is AWS's entry AI credential, and the 700 line rewards a working familiarity with the AI concepts and the AWS AI service family rather than deep technical depth. The practical reading: target 80 percent-plus on practice, use AWS's official exam guide and sample questions, and treat the credential as the entry rung toward the role-based AI certifications (such as the Machine Learning Engineer Associate) that benchmark the AI-career wages.
Read this before quoting the number.AWS publishes the passing score and format but no pass rate; any percentage circulating online is a third-party estimate.
Your schedule
How long should I study for it?
60-100 hours over 6-8 weeks of focused study
The AIF-C01 is a 65-question, 130-minute exam with a 700/1000 passing score, built on the official exam guide domains: fundamentals of AI and ML, fundamentals of generative AI, applications of foundation models, the AWS AI and ML services, and responsible AI. The exam is AWS's entry AI credential and rewards a working familiarity with the concepts and services rather than deep technical depth. A defensible plan runs 60 to 100 hours over 6 to 8 weeks. Weeks 1-2: the AI and ML fundamentals — the core concepts (training, inference, supervised vs unsupervised, the ML lifecycle) and the generative-AI basics (foundation models, prompting, RAG). Weeks 3-4: the AWS AI and ML services — SageMaker, Bedrock, the AI services (Textract, Comprehend, Rekognition, Polly, Transcribe), and what each is for. Weeks 5-6: applications and responsible AI — the use cases for the services, and the responsible-AI principles (fairness, transparency, privacy). Weeks 7-8: scenario drilling and two full timed practice exams at the real format. The plan is coverage-based because the exam rewards breadth across the concepts and the service family; hands-on exploration in a free-tier project accelerates the service modules.
- Weeks 1-225
AI and ML fundamentals
- Core ML concepts and the lifecycle
- Generative AI: foundation models and prompting
- RAG and model fine-tuning basics
- Weeks 3-430
AWS AI and ML services
- SageMaker and the ML platform
- Bedrock and the generative-AI stack
- The AI services: Textract, Comprehend, Rekognition, Polly
- Weeks 5-620
Applications and responsible AI
- Use cases for each service
- Responsible-AI principles
- Scenario practice
- Weeks 7-825
Drill and mocks
- Scenario drilling in volume
- Two full timed practice exams
- Review weak domains
Adjusting the pace
Working with AI tools.Compress the concepts phase; the AWS service names and use cases are the new content.
New to AI/ML.Add 2 weeks of general AI concepts before the AWS service modules.
How to study
How do I prepare most effectively?
The AIF-C01 rewards breadth across the AI concepts and the AWS service family, so the dominant strategy is systematic coverage with a service-purpose focus: learn what each AWS AI and ML service is for — SageMaker for building models, Bedrock for foundation models, Textract for document extraction, Rekognition for vision — because the exam asks purpose-level questions. Second, master the generative-AI fundamentals deliberately: foundation models, prompting and RAG are a distinct and growing share of the exam. Third, learn the responsible-AI principles, a domain that candidates focused on the services often miss. Fourth, use AWS's official exam guide and sample questions, the closest thing to the real item style, and hold yourself to 80 percent-plus on practice because the 700 line leaves little margin. Finally, take at least two full timed practice exams; 65 questions in 130 minutes is exactly 2 minutes per item, and the scenario items are reading-heavy.
Learn services by purpose
What each AWS AI and ML service is for is the exam's core pattern.
Master generative-AI basics
Foundation models, prompting and RAG are a distinct and growing share.
Cover responsible AI
Fairness, transparency and privacy are a tested domain.
Hold to 80%+ on practice
The 700/1000 line leaves little margin.
Run two full simulations
65 questions in 130 minutes; drill the pace.
What to buy
Which study resources are worth paying for?
AIF-C01 prep spans official AWS resources and third-party courses. AWS's own materials — the exam guide (free), sample questions and the AWS Skill Builder AI courses — are the authoritative source; a Skill Builder subscription runs roughly $29-$99/month. Third-party providers sell AI Practitioner courses and practice exams at $50-$300; the market is growing quickly because the certification is new and popular. The AWS free tier supports hands-on exploration of the AI services. A realistic total budget is $150 to $600 including the $100 exam fee and one to three months of Skill Builder. Prices below are list prices as of mid-2026 and change frequently; we rank nothing by commission.
| Resource | Price | Format | Best for |
|---|---|---|---|
| AWS exam guide + sample questions | Free | Official PDF + practice items | The authoritative scope; read it first |
| AWS Skill Builder | $29-$99/month | Courses and hands-on labs | The official hands-on path |
| AWS free tier | $0 | Real cloud environment | Exploring the AI services |
| Third-party courses | $50-$300 | Video courses and labs | Structured walkthrough of the domains |
| Practice-exam products | $30-$120 | Online simulated exams | Scenario drilling before the exam |
List prices as of mid-2026, subject to change; the AIF-C01 exam fee is $100; no commission or affiliate ranking is implied.
Avoid these
What mistakes do candidates most often make?
The most common AIF-C01 mistake is studying deep ML theory instead of the exam's breadth: candidates who dive into model mechanics miss the purpose-level service items, which dominate the exam. The fix is balanced concept-and-service coverage. The second mistake is under-preparing the generative-AI material, a distinct and growing share that newer study plans sometimes miss. Third, candidates skip the responsible-AI domain, treating it as soft when it is tested. Fourth, some candidates never run a full timed simulation and misjudge the reading-heavy pace. Finally, treating AI Practitioner as the destination misses the point: it is the entry rung of the AWS AI track, and the role-based certifications (Machine Learning Engineer Associate and beyond) are what benchmark the AI-career wages.
✕Studying deep ML theory
✓The exam rewards breadth across concepts and service purposes.
✕Under-preparing generative AI
✓Foundation models, prompting and RAG are a distinct growing share.
✕Skipping responsible AI
✓A tested domain; cover fairness, transparency and privacy.
✕Never running full simulations
✓65 questions in 130 minutes; run two full timed exams.
✕Treating it as the finish
✓Plan the role-based AI track as the next step.
What you'll face
What question types will I see?
The AIF-C01 is a 65-question multiple-choice and multiple-response exam in 130 minutes. The items test the exam guide domains: AI and ML fundamentals, generative-AI fundamentals, applications of foundation models, the AWS AI and ML services, and responsible AI — with many scenario items asking which service or approach fits a described use case. Samples below are editor-written illustrations of the published exam guide, not live exam items; they show the concept-and-purpose style of the real items.
ML lifecycle, generative AI, foundation models and prompting.
Which AWS AI or ML service fits a described use case.
Fairness, transparency, privacy and governance.
Try these
Q1A company must extract text from scanned invoices and structure it for processing. The most appropriate AWS service is:
Answer:A
Textract extracts text and data from documents — the service for scanned-invoice processing. Rekognition analyses images and video, Polly converts text to speech, and Transcribe converts speech to text.
Q2Which technique allows a generative-AI application to ground its answers in an organisation's private documents without retraining the model?
Answer:A
RAG retrieves relevant private documents and grounds the model's answers in them without retraining — the standard approach. Full fine-tuning is heavier, removing guardrails is a safety risk, and a larger corpus is not the grounding mechanism.
Q3Under responsible-AI practice, before deploying a machine-learning model that makes hiring decisions, an organisation should:
Answer:A
Responsible AI requires evaluating models for bias and documenting governance, transparency and fairness measures before deployment — especially for high-stakes decisions like hiring. Immediate deployment, skipped documentation or single-group testing each fail the responsible-AI principles.
Samples are editor-written illustrations of the published exam guide, not live exam items.
The big day
What should I expect on exam day?
The AIF-C01 is a 65-question, 130-minute computer-based exam at a Pearson VUE centre or through online proctoring. Bring a valid government-issued photo ID matching your registration name and your appointment confirmation; personal items go in the locker. Arrive 30 minutes early; late arrivals forfeit the appointment and the fee. Pace at exactly 2 minutes per item, flag uncertain items for review, and budget extra time for the reading-heavy scenario items. You receive your score on screen immediately, with the official result following; AWS reports your scaled score against the 700 line. If you fail, you may retake after a 14-day waiting period. On a pass, the certification is valid for three years. The afterwards matters: record the expiration date, add the credential to your profile, and plan the next rung of the AWS AI track — typically the Machine Learning Engineer Associate.
Bring
- Valid government-issued photo ID matching your registration name
- Appointment confirmation
Leave at home
- Phone, smartwatch and all electronics
- Notes and study materials
- Personal bags beyond what the centre allows
How the day runs
Rules in the room
- No personal electronics in the testing room
- 130 minutes for 65 questions; the clock does not pause
- A 14-day wait applies before retaking after a fail
Afterwards.On a pass, your certification is valid for three years. On a fail, wait 14 days and retake after additional study. Plan the role-based AI track as the next step.
Reference
What are the key facts about the AWS Certified AI Practitioner?
AWS Certified AI Practitioner is a certification credential; awarded by Amazon Web Services; the exam fee is $100; typical preparation is 2-4 weeks; holders typically earn $95,000-$140,000.
| Credential | AWS Certified AI Practitioner |
|---|---|
| Abbreviation | AWS AI Practitioner |
| Type | Certification |
| Profession | IT, Cloud & Cybersecurity |
| Specialty | Amazon Web Services |
| Awarded by | Amazon Web Services |
| Difficulty | Easy |
| Typical prep time | 2-4 weeks |
| All-in cost | $100 |
| Typical salary range | $95,000-$140,000 |
| Delivery | Online proctored multiple choice |
| Level | Foundational |
| Validity | 3 years |
| Cost | $100 |
| Scope | National / Multi-state |
| Also known as | AIF-C01 |
Real questions
Frequently asked questions about the AWS Certified AI Practitioner
Do I need to code for AIF-C01?
No. The exam tests conceptual knowledge of AI/ML and generative AI on AWS, not the ability to write training code or deep SageMaker configurations.
Which services should I know?
Focus on Amazon Bedrock, SageMaker, and the managed AI services (Transcribe, Translate, Comprehend, Lex, Polly), plus responsible-AI tooling such as Bedrock Guardrails.
Is AIF-C01 a good starting point?
Yes. It pairs well with Cloud Practitioner and is a natural on-ramp to the ML Engineer Associate and Data Engineer Associate for those moving into AI roles.
How long is it valid?
Three years, like other AWS certifications. You recertify by passing the current version or a higher credential.
Which AWS cert should I start with?
Cloud Practitioner (CLF-C02) for general cloud literacy or AI Practitioner (AIF-C01) for AI/ML context. Role-based candidates often go straight to Solutions Architect Associate (SAA-C03).
Do AWS certifications expire?
Yes, after three years. You recertify by passing the current version or a higher credential that refreshes it.
Are the exams hands-on?
AWS exams are scenario-based multiple choice and multiple response, not live-terminal. They test applied judgement rather than memorisation.
How are questions scored?
Each exam has 50 scored questions plus 15 unscored items used for future research; the 100-1000 scaled score maps difficulty across forms.
In short
Is the AWS Certified AI Practitioner worth it?
- Foundational AWS AI/ML and GenAI exam
- Covers fundamentals, foundation models and responsible AI
- 700 pass, $100, 90 minutes
- Valid for three years
Same awarding body
What other credentials does Amazon Web Services award?
Worth comparing
How does the AWS Certified AI Practitioner compare with similar credentials?
Trust
Where does this information come from?
Everything above is taken from the awarding body's own published material. Fees, question counts and domain weights are revised regularly — check the official page before you pay.
- Amazon Web Services Awarding body
- Official AWS Certified AI Practitioner exam page Exam page
Research confidence: high · Last reviewed 2026-08