AIF-C01: AWS Certified AI Practitioner

Exam Information

• Provider: AWS (Amazon Web Services)
• Exam Code: AIF-C01
• Official Exam Page: AWS AI Practitioner Certification
• Exam Duration: 120 minutes
• Number of Questions: 85 questions
• Passing Score: 700/1000
• Exam Format: Multiple choice, multiple response
• Exam Cost: $75 USD
• Validity: 3 years

Certification Achieved ✅

Earned: January 2, 2026 Credential: Verify Certificate

Notes Prepared: January 2026 · Last Updated: 2026-02-05

Overview

The AWS Certified AI Practitioner validates your understanding of AI/ML concepts, AWS AI/ML services, and responsible AI practices. This certification is designed for individuals who want to demonstrate foundational AI knowledge.

Target Audience:

• Business analysts and data analysts
• Product managers working with AI
• Non-technical professionals who need to understand AI
• Developers new to AI/ML
• Anyone seeking foundational AI/ML knowledge on AWS

Prerequisites:

• 6 months of exposure to AWS AI/ML services (recommended)
• Basic understanding of cloud computing concepts
• Familiarity with data analytics concepts
• No programming experience required

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Exam Objectives

For the complete and official list of exam objectives, refer to the AWS Certified AI Practitioner (AIF-C01) Exam Guide.

Exam Weighting

Domain	Weight	Focus Areas
Domain 1: Fundamentals of AI and ML	~20%	AI concepts, ML types, lifecycle
Domain 2: Fundamentals of Generative AI	~24%	GenAI concepts, capabilities, AWS services
Domain 3: Applications of Foundation Models	~28%	Model selection, RAG, prompt engineering
Domain 4: Guidelines for Responsible AI	~14%	Fairness, explainability, best practices
Domain 5: Security, Compliance, and Governance	~14%	Security, compliance, governance

In-Scope AWS AI/ML Services

Generative AI Services:

• Amazon Bedrock: Foundation models as a service
• Amazon Q: AI-powered business assistant
• Amazon CodeWhisperer: AI code suggestions
• PartyRock: AI app builder

ML Services:

• Amazon SageMaker: End-to-end ML platform (Studio, JumpStart, Clarify, Model Monitor, Autopilot)
• Amazon Augmented AI (A2I): Human review workflows

AI Services:

• Amazon Rekognition: Image and video analysis
• Amazon Textract: Document text extraction
• Amazon Comprehend: NLP and sentiment analysis
• Amazon Translate: Language translation
• Amazon Transcribe: Speech-to-text
• Amazon Polly: Text-to-speech
• Amazon Lex: Conversational interfaces
• Amazon Personalize: Recommendation systems
• Amazon Kendra: Intelligent search

Supporting Services:

• Amazon OpenSearch Service: Vector database for RAG
• AWS Lambda, Amazon S3, AWS IAM, AWS CloudTrail

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Study Materials

📚 Study Notes

Comprehensive study notes covering all exam topics across 5 domains

🎯 Exam Guide

Exam traps, common pitfalls, and quick decision rules

📄 Cheatsheet

One-page exam day reference - print and review 5 minutes before the exam

💡 Exam Tips

Exam strategies and study advice

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📖 Official Resources

• AWS AI & ML Learning Plan
• Official Exam Guide
• AWS Machine Learning Blog
• Amazon SageMaker Documentation
• Responsible AI Resources

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Study Progress

AIF-C01 Study Progress

0/80%

Domain 1: Fundamentals of AI and ML (20%)

• 1.1: AI concepts and terminology
• 1.2: Practical AI use cases
• 1.3: ML development lifecycle

Domain 2: Fundamentals of Generative AI (24%)

• 2.1: Generative AI concepts
• 2.2: Capabilities and limitations
• 2.3: AWS generative AI services

Domain 3: Applications of Foundation Models (28%)

• 3.1: Design considerations
• 3.2: Model selection
• 3.3: Prompt engineering and fine-tuning
• 3.4: RAG (Retrieval Augmented Generation)

Domain 4: Guidelines for Responsible AI (14%)

• 4.1: Responsible AI practices
• 4.2: Model explainability

Domain 5: Security, Compliance, Governance (14%)

• 5.1: Securing AI systems
• 5.2: Governance and compliance

Explore Amazon Bedrock hands-on

Practice with AWS AI/ML services

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