What is the AIF-C01 exam format?

65 questions in 90 minutes, of which 50 are scored and 15 are unscored. Question types include multiple choice, multiple response, ordering, and matching. Scores are reported on a 100 to 1,000 scale and 700 passes.

Do I need to know how to code?

No. AWS explicitly lists developing or coding AI/ML models, data engineering, hyperparameter tuning, pipeline building, and implementing security protocols as out of scope. The target candidate uses AI/ML solutions rather than building them.

Do I need AWS Certified Cloud Practitioner first?

No, there are no formal prerequisites. AWS recommends up to six months of exposure to AI/ML technologies on AWS plus familiarity with core services, the shared responsibility model, IAM, and pricing models. Those new to AWS often take Cloud Practitioner first, but it is not required.

What are the domain weights?

Fundamentals of AI and ML is 20 percent, Fundamentals of GenAI is 24 percent, Applications of Foundation Models is 28 percent, Guidelines for Responsible AI is 14 percent, and Security, Compliance, and Governance is 14 percent. Domain 3 is the largest single section.

What does the exam cost?

100 USD at standard pricing, which places it in AWS's foundational tier alongside Cloud Practitioner.

How is this different from AWS Certified AI Business Strategist?

AI Practitioner (AIF-C01) covers AI concepts and AWS AI services for a broad technical-adjacent audience, with real service breadth. AI Business Strategist (AIB-C01) is a business-track exam covering AI strategy, value measurement, governance, readiness and enterprise scaling. AIF-C01 tests recognition; AIB-C01 tests judgment.

Has the exam changed recently?

Yes. The current exam guide includes agentic AI concepts such as the Model Context Protocol, multi-agent patterns, memory management and orchestration, plus context engineering, prompt caching, model distillation, and newer AWS offerings including Amazon Bedrock AgentCore, Amazon Nova, Amazon Quick, Kiro and Strands Agents. Older study material predates these additions.

Are ordering and matching questions really on the exam?

Yes. Alongside multiple choice and multiple response, the exam includes ordering questions, where you place 3 to 5 steps in sequence, and matching questions, where you pair 3 to 7 prompts with responses. All pairs or positions must be correct to earn credit.

Amazon Web Services (AWS)· Foundational

AWS Certified AI Practitioner

AIF-C01

AWS's foundational AI certification. Validates understanding of AI, machine learning, and generative AI concepts, foundation model applications, prompt engineering, responsible AI, and the security and governance of AI solutions on AWS. No coding required.

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Question 1 of 100/10 answered

A company is explaining AI terminology to its leadership team. Which statement correctly describes the relationship between artificial intelligence, machine learning, and deep learning?

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Practice Tests Included in the Bundle (2)

AWS Certified AI Practitioner - Practice Exam 1

Full-length practice exam covering all five AIF-C01 domains at the published weights: fundamentals of AI and ML, fundamentals of GenAI, applications of foundation models, guidelines for responsible AI, and security, compliance and governance. Includes all four exam question types, including ordering and matching, and covers the 2026 syllabus additions such as agentic AI, MCP and context engineering.

65 questions

90 minutes

Locked

AWS Certified AI Practitioner - Practice Exam 2

Second full-length practice exam at the published AIF-C01 domain weights. Covers supervised and reinforcement learning, asynchronous inference, precision, chunking and diffusion models, prompt caching, agent memory management, Bedrock Knowledge Bases, instruction tuning and continued pre-training, RLHF, distillation, BLEU and BERTScore, underfitting, and AWS governance services.

65 questions

90 minutes

Locked

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Why Get This Certification?

Skills You'll Validate

Explaining AI, ML, deep learning, and generative AI concepts and terminology
Identifying practical use cases where AI adds value, and when it does not
Describing the AI/ML development lifecycle and MLOps fundamentals
Explaining foundation model concepts including tokens, embeddings, and context engineering
Describing agentic AI concepts including MCP, memory, tool use, and orchestration
+5 more skills

Career Benefits

Target Roles

Business AnalystIT SupportSales ProfessionalProduct Manager

Salary Range

$95,000 - $150,000+

AWS's foundational AI certification and the most common entry point into the AWS AI certification track

Exam Topics & Domains

The certification exam evaluates your knowledge across 5 key competency areas:

Technologies & Tools Covered

Amazon BedrockAmazon Bedrock AgentCoreAmazon Bedrock GuardrailsAmazon Bedrock Knowledge BasesAmazon SageMaker AIAmazon SageMaker JumpStartAmazon NovaAmazon QAmazon QuickKiroStrands AgentsAmazon ComprehendAmazon LexAmazon PollyAmazon RekognitionAmazon TextractAmazon TranscribeAmazon TranslateAmazon PersonalizeAmazon OpenSearch ServiceAmazon AuroraAmazon NeptuneAWS IAMAWS KMSAmazon MacieAWS PrivateLinkAWS CloudTrailAWS ConfigAWS ArtifactAmazon InspectorAWS Trusted Advisor

What You'll Be Able To Do

After earning this certification, you'll be able to:

Explain AI, ML, and generative AI concepts accurately in a business setting
Match an AWS AI service to a use case and know when AI is the wrong tool
Design foundation model applications using RAG, prompting, and agents
Choose the right customization approach for a cost and accuracy target
Evaluate foundation model performance with appropriate metrics
Apply responsible AI principles and detect bias in datasets and outputs
Secure and govern AI workloads on AWS

Why This Certification Matters

Skills You'll Validate

Explaining AI, ML, deep learning, and generative AI concepts and terminology
Identifying practical use cases where AI adds value, and when it does not
Describing the AI/ML development lifecycle and MLOps fundamentals
Explaining foundation model concepts including tokens, embeddings, and context engineering
Describing agentic AI concepts including MCP, memory, tool use, and orchestration
Choosing effective prompt engineering techniques and recognizing their risks
+4 more skills

Career Benefits

Target Roles

Business AnalystIT SupportSales ProfessionalProduct Manager+5

Salary Range

$95,000 - $150,000+

AWS's foundational AI certification and the most common entry point into the AWS AI certification track

Industries Actively Hiring

TechnologyFinancial ServicesHealthcareRetailConsultingManufacturingPublic SectorEducation

Frequently Asked Questions

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