Validate your ability to build production generative AI applications on AWS. This exam covers foundation model integration, RAG architectures, prompt engineering, agentic AI, vector stores, AI safety and governance, cost optimization, and testing and troubleshooting of GenAI solutions.
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Every Bedrock feature, RAG and agent pattern, and safety / observability decision the AIP-C01 exam actually tests — organised by the five exam domains with reference architectures and runbooks
The AWS Certified Generative AI Developer - Professional (AIP-C01) is AWS's newest professional-level certification, validating your ability to build production-grade generative AI applications on AWS. It covers foundation model integration, RAG architectures, prompt engineering, agentic AI, vector stores, AI safety and governance, cost optimization, and troubleshooting GenAI solutions using services like Amazon Bedrock, SageMaker, and OpenSearch.
This exam targets developers and ML engineers with 2+ years of production AWS experience and 1+ year building generative AI solutions. You should be comfortable with Amazon Bedrock (Knowledge Bases, Agents, Guardrails, Prompt Management), vector databases, RAG patterns, prompt engineering techniques, and integrating FMs into applications via APIs. It's ideal for AI engineers, full-stack developers working with LLMs, and ML engineers transitioning into generative AI.
The AIP-C01 exam has 75 questions (65 scored, 10 unscored) including multiple-choice, multiple-response, ordering, and matching question types. You have 180 minutes and need a scaled score of 750 out of 1000 (approximately 75%) to pass. The exam is available at Pearson VUE and online. The cost is $300 USD.
Recommended experience: 2+ years building production applications on AWS with 1+ year implementing generative AI solutions. Hands-on experience with Amazon Bedrock, RAG patterns, and prompt engineering.
The AIP-C01 is one of the hardest AWS certifications. It requires deep, hands-on knowledge of Amazon Bedrock, RAG architecture, vector stores, agentic AI patterns, and GenAI-specific concerns like hallucination mitigation and prompt injection defense. The 75% passing score is also higher than associate exams. Expect 4-6 weeks of intensive study if you already work with GenAI on AWS.
Amazon Bedrock is by far the most tested service — especially Knowledge Bases, Agents, Guardrails, and Prompt Management. You also need to know OpenSearch (for vector search), SageMaker (model deployment, evaluation, model cards), Step Functions (agentic workflows), Lambda, API Gateway, CloudWatch, and Comprehend (PII detection). Understanding how these integrate into RAG and agentic architectures is critical.
No, but it helps. The AIP-C01 assumes you understand foundational AI/ML concepts. If you're already building GenAI apps on AWS, you can skip straight to this exam. If you're newer to AI, taking the AI Practitioner (AIF-C01) first gives you the conceptual foundation — especially around model types, evaluation metrics, and responsible AI.
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