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Master Amazon Bedrock and generative AI development with comprehensive preparation for the AIP-C01 exam. Covers RAG, Bedrock Agents, AI safety, guardrails, and GenAI implementation.
The AWS Certified Generative AI Developer - Professional (AIP-C01) validates expertise in designing, developing, deploying, and maintaining generative AI applications using Amazon Bedrock and other AWS AI/ML services. This certification demonstrates your ability to build production-ready GenAI solutions with foundation models.
Exam Details: 65-85 questions | 180 minutes | Passing score: ~750/1000 | Cost: $300 USD
The exam covers five domains: Foundation Model Integration, Data Management, and Compliance (31%), Implementation and Integration (26%), AI Safety, Security, and Governance (20%), Operational Efficiency and Optimization (12%), and Testing, Validation, and Troubleshooting (11%). You'll need hands-on experience with Amazon Bedrock, RAG architectures, and responsible AI practices.
180 minutes
~65 questions
750 (scaled)
AIP-C01
AWS
Amazon Bedrock model catalog and selection criteria, Bedrock API invocation and streaming responses, Model comparison: Anthropic Claude, Amazon Titan, Meta Llama, Cohere
RAG (Retrieval-Augmented Generation) architecture patterns, Vector databases: Amazon OpenSearch Serverless, pgvector, Pinecone, LangChain and LlamaIndex integration with Bedrock
Amazon Bedrock Guardrails: topic denial, content filters, PII redaction, Responsible AI principles: fairness, explainability, privacy, Hallucination detection and grounding techniques
Bedrock Provisioned Throughput for latency-sensitive workloads, Token usage optimization and context window management, Caching strategies for repeated GenAI requests
Amazon Bedrock Model Evaluation for automated benchmarking, Human evaluation workflows and annotation, RAGAS and other RAG evaluation frameworks
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