AWS-AIP-C01: AWS Certified Generative AI Developer - Professional

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Official learning paths, exam details, skills measured, and community resources to supplement your study.

About the AWS-AIP-C01 Exam

Master the AWS Certified Generative AI Developer - Professional exam (AIP-C01) — building production generative-AI applications on AWS with Amazon Bedrock foundation models, Knowledge Bases and RAG, Bedrock Agents and AgentCore, Guardrails, prompt engineering, agentic AI with Strands and the Model Context Protocol (MCP), safety and governance, cost and performance optimization, and evaluating and troubleshooting GenAI systems in production.

The complete practice exam for the AWS Certified Generative AI Developer - Professional certification (exam AIP-C01). It covers Foundation Model Integration, Data Management and Compliance (designing GenAI solutions, selecting and configuring foundation models, Amazon Bedrock Cross-Region Inference and Provisioned Throughput, data validation and multimodal pipelines, vector stores with Amazon Bedrock Knowledge Bases / OpenSearch / Aurora pgvector, Amazon Titan and Nova embeddings, chunking and retrieval, reranking, and prompt engineering and governance with Bedrock Prompt Management and Prompt Flows), Implementation and Integration (agentic AI with Strands Agents, AWS Agent Squad and MCP, Amazon Bedrock Agents and AgentCore, model deployment strategies, the Converse API, enterprise integration with API Gateway / EventBridge / Step Functions, and CI/CD and GenAI-gateway patterns), AI Safety, Security and Governance (Amazon Bedrock Guardrails content filters, denied topics, sensitive-information filters, contextual grounding and Automated Reasoning checks, prompt-injection defense, VPC endpoints and PrivateLink, PII detection with Comprehend and Macie, model cards, CloudTrail auditing, and responsible-AI practices), Operational Efficiency and Optimization (token efficiency, prompt caching, tiered model selection, latency-optimized inference, auto-scaling, and observability with CloudWatch and Bedrock Model Invocation Logs), and Testing, Validation and Troubleshooting (Amazon Bedrock Model Evaluation, LLM-as-a-judge and RAG evaluation, A/B and canary testing, and diagnosing context-window, retrieval and prompt issues) — every question a real-world AWS generative-AI scenario with full explanations.

Who Should Take This Exam?

The AWS Certified Generative AI Developer - Professional (AIP-C01) is designed for GenAI developers, ML engineers, application developers, and AI solutions architects who build, integrate, secure, optimize, and troubleshoot production generative-AI applications on AWS with Amazon Bedrock and Amazon SageMaker AI. It validates hands-on GenAI development skills, so practical experience building production applications on AWS plus one year of hands-on experience implementing GenAI solutions (RAG, agents, foundation-model integration) is strongly recommended. It builds naturally on the AWS Certified AI Practitioner and the AWS Machine Learning certifications.

Prerequisites: None (2+ years building production applications on AWS and 1 year of hands-on GenAI experience are recommended)

Typical study time: 8-12 weeks of focused study

Exam Quick Facts

DetailValue
Exam CodeAWS-AIP-C01
TitleAWS Certified Generative AI Developer - Professional
Duration180 minutes
Questions75 (65 scored + 10 unscored)
Pass Score750 / 1000
Cost$300 USD
ProviderPearson VUE (test center or online proctored)
Validity3 years
PrerequisitesNone (2+ years building on AWS and 1 year of GenAI experience recommended)
Question TypesMultiple choice, Multiple response
Official PageView on AWS →

Exam Domains & Weights

The AWS-AIP-C01 exam covers 5 domains. Focus your study time based on the weights below — higher-weighted domains have more exam questions.

DomainWeightPractice Qs
Foundation Model Integration, Data Management, and Compliance31%78
Implementation and Integration26%65
AI Safety, Security, and Governance20%50
Operational Efficiency and Optimization for GenAI Applications12%30
Testing, Validation, and Troubleshooting11%27
Total100%250

💡 Study tip: Foundation Model Integration, Data Management, and Compliance (31%) and Implementation and Integration (26%) together make up more than half the exam — start there, and go deep on Amazon Bedrock Knowledge Bases, RAG, and agentic patterns (Agents, AgentCore, Strands, MCP). Testing, Validation, and Troubleshooting is the lightest (11%), but it ties everything together, so don’t skip it.

Practice Exam — 250 Questions

Prepare for the AWS-AIP-C01 with our 250-question practice exam covering all 5 exam domains. Every question includes detailed explanations and maps to official exam objectives.

What you get:

  • ✅ Exam simulation mode with timer
  • ✅ Spaced repetition for weak areas
  • ✅ Detailed explanations for every question
  • ✅ Progress tracking across domains
  • ✅ 20 free questions — no account needed

AWS Certification Path

Start with the AWS Certified AI Practitioner (AIF-C01) for GenAI foundations, build ML depth with the AWS Certified Machine Learning Engineer - Associate (MLA-C01), then advance to this AWS Certified Generative AI Developer - Professional (AIP-C01) to validate production GenAI development on Amazon Bedrock and SageMaker AI.

If you’re studying for the AWS-AIP-C01, you might also be interested in these AWS certifications:

Study Tips

  1. Start with the heaviest domains — focus your time where the exam focuses its questions
  2. Use our practice exam — try the 20 free questions first to gauge your readiness
  3. Review explanations — don’t just check if you got it right; read why each answer is correct
  4. Simulate exam conditions — use the timed exam mode to practice under pressure
  5. Check the official pageofficial exam details always have the latest objectives
20 Free Questions Practice Exam $9 →