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AWS · AI & Machine Learning · Professional

AWS Certified Generative AI Developer - Professional exam guide

Exam AIP-C01

The AWS Certified Generative AI Developer - Professional validates that you can build production generative AI applications on AWS: integrating foundation models, RAG and data pipelines, guardrails and governance, cost/performance optimization and evaluation. It is AWS's senior credential for engineers shipping GenAI features.

Questions75 (65 scored, 10 unscored)
Time limit180 minutes
Passing score750 (100-1000 scale)
Exam fee$300 USD
Valid for3 years
DeliveryPearson VUE test center or online proctored

Format: Multiple choice and multiple response. Fee note: Plus applicable taxes/FX; 50% off with a voucher from a previously passed AWS exam.

Who it's for

Developers with 2+ years building production applications on AWS or open-source stacks and at least 1 year hands-on implementing GenAI solutions.

What the exam covers

Foundation Model Integration, Data Management, and Compliance31%
Implementation and Integration26%
AI Safety, Security, and Governance20%
Operational Efficiency and Optimization for GenAI Applications12%
Testing, Validation, and Troubleshooting11%

Eligibility & prerequisites

Required: None

Recommended: 2+ years building production-grade applications on AWS or with open-source technologies, general AI/ML or data engineering experience, and 1 year of hands-on GenAI implementation.

Keeping it active

Valid 3 years. Recertify by passing the latest version of this exam before your certification expires. After passing any AWS exam you receive a 50% discount voucher for your next exam.

Skills & careers

Skills it validates

  • Selecting and integrating foundation models via Amazon Bedrock
  • Building RAG with knowledge bases, embeddings and vector stores
  • Implementing agents and tool use
  • Applying Bedrock Guardrails, PII protection and governance controls
  • Optimizing token cost, latency and throughput
  • Evaluating and troubleshooting model outputs
  • Secure API, IAM and IaC deployment of GenAI apps

Job roles

Generative AI EngineerAI Application DeveloperML EngineerAI Solutions ArchitectLLM EngineerCloud AI Developer

Where it fits in your path

Planning a degree too? See how this cert earns college credit in the College Credit Navigator.

Build my study plan

  1. Week 1: Read the AIP-C01 exam guide; refresh Bedrock basics (model access, inference parameters, pricing modes)
  2. Week 2-3: FM integration and data (31%) - RAG pipelines, Bedrock Knowledge Bases, chunking, embeddings, vector store options, data compliance
  3. Week 4: Implementation - Bedrock Agents, tool calling, Step Functions/Lambda orchestration, API design for streaming responses
  4. Week 5: Safety and governance - Guardrails, PII redaction, prompt injection defenses, IAM and logging for model invocation
  5. Week 6: Optimization and testing - caching, provisioned throughput, model evaluation jobs, troubleshooting hallucination and latency
  6. Week 7-8: Build a small RAG plus agent app end to end and take timed practice exams

Make it yours: pick your exam date and weekly hours. We'll split your time by domain weight and give you a printable plan.

Exam-day tips

  • Model training, fine-tuning techniques and feature engineering are explicitly out of scope - focus on integrating and operating FMs
  • Expect trade-off questions between RAG, prompt engineering and model customization for a given requirement
  • Know which Guardrails features address which risk (denied topics, content filters, PII, contextual grounding)
  • Cost questions often hinge on on-demand vs provisioned throughput vs batch inference and prompt caching
  • Multiple-response items require every correct option - read how many to select

Key terms for this exam

All 100 terms Study with thinQcards™

Commonly confused on this exam

Frequently asked questions

How much is the AWS Generative AI Developer Professional exam?

$300 USD plus applicable taxes; 75 questions in 180 minutes.

Is AIP-C01 harder than AI Practitioner?

Much harder. AI Practitioner is foundational and conceptual; AIP-C01 is professional-level and assumes hands-on production GenAI work.

Do I need ML Engineer Associate first?

No formal prerequisite. Developer Associate or ML Engineer Associate is useful preparation.

What passing score do I need?

750 on a 100-1000 scale, using a compensatory model across domains.

Is this certification worth it?

For engineers building Bedrock-based applications it is a direct, current proof of production GenAI skill on the largest cloud platform.

Official page: aws.amazon.com. Reviewed November 2026. Vendors change fees and objectives, so confirm with the vendor before you book. Spot something out of date? Tell us.