AIP-C01: Exam Guide
The AWS Certified Generative AI Developer – Professional (AIP-C01) exam measures your ability to build, deploy, and monitor generative AI applications on AWS.
Exam Domains
| Domain | Weighting |
|---|---|
| Domain 1: Foundation Model Integration, Data Management, and Compliance | 31% |
| Domain 2: Implementation and Integration | 26% |
| Domain 3: AI Safety, Security, and Governance | 20% |
| Domain 4: Operational Efficiency and Optimization for GenAI Applications | 12% |
| Domain 5: Testing, Validation, and Troubleshooting | 11% |
Domain 1: FM Integration, Data Management, and Compliance (31%)
- FM Selection: Choosing the right model (e.g., Claude, Llama, Mistral) based on latency, cost, and context window requirements.
- Data Pipelines: Implementing S3 ingestion workflows, data validation, and pre-processing for RAG.
- Vector Stores: Designing vector solutions using Amazon OpenSearch Serverless or Aurora PostgreSQL with pgvector.
- Compliance: Ensuring data residency and adherence to organizational policies.
Domain 2: Implementation and Integration (26%)
- Agentic AI: Implementing multi-step reasoning using Amazon Bedrock Agents.
- RAG Architecture: Creating knowledge bases, implementing chunking strategies, and tuning retrieval performance.
- API Integration: Using
InvokeModelandInvokeModelWithResponseStreamAPIs.
Domain 3: AI Safety, Security, and Governance (20%)
- Guardrails for Amazon Bedrock: Configuring content filters, PII detection, and denied topics.
- Identity & Access: IAM policies for Bedrock and VPC endpoints for private connectivity.
- Governance: Implementing traceable and auditable AI systems.
Domain 4: Operational Efficiency and Optimization (12%)
- Cost Optimization: Implementing token efficiency systems and choosing cost-effective model deployment strategies.
- Provisioned Throughput: When to use PTUs for predictable performance.
Domain 5: Testing, Validation, and Troubleshooting (11%)
- Model Evaluation: Using automated and human-based evaluation metrics (Groundness, Accuracy).
- Monitoring: AWS CloudWatch metrics and CloudTrail logs for auditing.