AIF-C01: Exam Objectives
For the complete and official list of exam objectives, refer to the official exam guide:
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
- SageMaker Studio
- SageMaker JumpStart
- SageMaker Clarify
- SageMaker Model Monitor
- SageMaker 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 Forecast: Time-series forecasting
- Amazon Fraud Detector: Fraud detection
- Amazon Kendra: Intelligent search
- Amazon CodeGuru: Code review and recommendations
Supporting Services
- Amazon OpenSearch Service: Vector database for RAG
- AWS Lambda: Serverless compute
- Amazon S3: Data storage
- AWS IAM: Access management
- AWS CloudTrail: Audit logging
Study Progress
Track your progress:
- [ ] Reviewed exam objectives
- [ ] Studied all domains
- [ ] Completed study notes
- [ ] Reviewed exam tips
- [ ] Practiced with Amazon Bedrock
- [ ] Ready for certification