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AWS · AI & Machine Learning · Entry

AWS Certified AI Practitioner exam guide

Exam AIF-C01

AWS Certified AI Practitioner (AIF-C01) proves you understand AI, ML and generative AI concepts and can identify the right AWS services, such as Amazon Bedrock, SageMaker and Amazon Q, for business use cases. It is AWS's foundational AI credential and suits both technical and non-technical staff.

Questions65
Time limit90 minutes
Passing score700 (100-1000 scale)
Exam fee$100 USD
Valid for3 years
DeliveryPearson VUE test center or online proctored

Format: Multiple choice, multiple response, ordering, matching and case study. Fee note: AWS Certified holders get 50% off their next exam..

Who it's for

Business analysts, product managers, IT staff and developers who work with AI solutions on AWS but do not necessarily build models.

What the exam covers

Fundamentals of AI and ML20%
Fundamentals of Generative AI24%
Applications of Foundation Models28%
Guidelines for Responsible AI14%
Security, Compliance, and Governance for AI Solutions14%

Eligibility & prerequisites

Required: None

Recommended: Up to 6 months of exposure to AI/ML technologies on AWS; familiarity with core AWS services is helpful.

Keeping it active

Valid for 3 years. Recertify by passing the latest version of the AI Practitioner exam or by earning the AWS Certified Machine Learning Engineer - Associate.

Skills & careers

Skills it validates

  • Explaining ML lifecycle and core AI terminology
  • Describing foundation models, prompting and inference parameters
  • Choosing between prompt engineering, RAG and fine-tuning
  • Selecting AWS AI services such as Amazon Bedrock, SageMaker and Amazon Q
  • Applying responsible AI practices and Bedrock Guardrails
  • Describing security and governance controls for AI workloads

Job roles

AI Business AnalystProduct Manager (AI)Cloud Sales EngineerIT Project ManagerJunior ML Engineer

Where it fits in your path

Planning a degree too? See how this cert earns college credit in the College Credit Navigator.

Build my study plan

  1. Week 1: Take the free AWS Skill Builder AI Practitioner exam prep course; cover AI/ML fundamentals and the ML lifecycle.
  2. Week 2: Generative AI and foundation models: experiment in the Amazon Bedrock console with prompts, temperature and knowledge bases.
  3. Week 3: Responsible AI, security and governance: Bedrock Guardrails, SageMaker Clarify, IAM and data privacy controls.
  4. Week 4: Take the official practice question set and a full practice exam; review domain 3 (foundation model applications) closely.

Make it yours: pick your exam date and weekly hours. We'll split your time by domain weight and give you a printable plan.

Exam-day tips

  • Applications of foundation models is the largest domain at 28%; know when to use RAG vs fine-tuning vs continued pre-training.
  • Expect ordering, matching and case study question types alongside multiple choice; practice them so the format does not slow you down.
  • Know inference parameters (temperature, top-p, max tokens) and their effects.
  • Be able to match services to scenarios: Bedrock, SageMaker, Amazon Q, Comprehend, Rekognition, Transcribe, Textract.
  • Learn evaluation metrics at a recognition level (accuracy, F1, ROUGE, BLEU) rather than formulas.

Key terms for this exam

All 167 terms Study with thinQcards™

Commonly confused on this exam

Frequently asked questions

How much does the AWS AI Practitioner exam cost?

$100 USD, plus applicable taxes or exchange fees.

How hard is AIF-C01?

It is foundational. Most candidates pass after 2-4 weeks of part-time study; no coding is required.

Do I need Cloud Practitioner first?

No. There are no prerequisites, though Cloud Practitioner knowledge of core AWS services helps.

How long is the AI Practitioner valid?

3 years. Renew by passing the current version or by earning the Machine Learning Engineer - Associate.

AWS AI Practitioner vs Azure AI Fundamentals?

Both are entry-level AI credentials. AIF-C01 is weighted toward generative AI on Bedrock; AI-901 is built around Microsoft Foundry. Choose based on your organization's cloud.

Official page: aws.amazon.com. Reviewed November 2026. Vendors change fees and objectives, so confirm with the vendor before you book. Spot something out of date? Tell us.