AWS Certified Generative AI Developer Professional (AIP-C01) – Study Plan

Overview

The AWS Certified Generative AI Developer Professional validates your ability to design, build, and deploy generative AI applications on AWS. It tests professional-level judgment across the full lifecycle of GenAI systems: selecting and integrating foundation models, building RAG pipelines, deploying agents, managing safety and governance, and optimizing for production.

This is a professional-level exam. The questions will put you in complex scenarios where you must make trade-offs between model quality, latency, cost, safety, and operational complexity. Knowing what Amazon Bedrock or SageMaker does is not enough. You need to know when to use each, how to combine them, and what to watch out for in production.

The first two domains (FM integration and implementation) represent 57% of the exam. They cover Bedrock, RAG, agents, fine-tuning, and integration patterns. This is where most of your study time should go.

Recommended experience: 2+ years of hands-on AWS AI/ML experience. Strong Python programming skills. Familiarity with LLM concepts, prompt engineering, and the AWS AI/ML service portfolio (Bedrock, SageMaker, and related services).

A note on prerequisites: There are no formal prerequisites. However, AWS Certified Machine Learning Specialty or equivalent knowledge is strongly recommended. If you are new to AWS AI/ML services, consider building foundational experience with SageMaker and Bedrock before starting this plan.

Frequently Asked Questions

Do I need AWS ML experience for AIP-C01?

Yes. This is a professional-level exam. 2+ years of hands-on AWS AI/ML experience is strongly recommended. If you have not worked with SageMaker, Bedrock, or similar services in production, the implementation and troubleshooting domains will be difficult. AWS Certified Machine Learning Specialty or equivalent knowledge provides a solid foundation.

How many practice questions should I aim for?

Aim for at least 800 unique questions across all domains, ensuring you prioritize quality over quantity. ExamOS provides over 3,000 high quality practice questions covering all domains and designed to explain the rationale behind both correct and incorrect answers.

When should I book the exam?

Once you are consistently hitting 80% or above on Legend mode across two or more sessions, and you feel comfortable explaining GenAI architecture decisions for production scenarios, you are ready. Trust your preparation.

How long is the exam?

170 minutes for 75 questions (65 scored, 15 unscored). That averages to roughly 2 minutes and 16 seconds per question. Scenario-heavy questions with long context may take longer, so keep an eye on the clock. Answer every question; the unscored ones are indistinguishable from scored ones.

What is the passing score?

750 out of 1000. AWS uses scaled scoring. The raw number of correct answers needed varies slightly between exam versions. Do not try to calculate how many questions you can afford to miss.

Can I use reference materials during the exam?

No. The AIP-C01 exam is closed-book. You cannot access documentation, websites, or any external resources during the test. All questions are designed to be answerable from your knowledge of AWS GenAI services, architecture patterns, and best practices.

What is the most important domain to study?

Foundation Model Integration, Data Management, and Compliance (31%) is the heaviest domain. Combined with Implementation and Integration (26%), the first two domains represent 57% of the exam. RAG and agents are the core topics within these domains and appear in the majority of scenario questions.

What is the difference between Bedrock and SageMaker for GenAI?

Bedrock provides managed access to foundation models through an API. You use it for inference, RAG, agents, and guardrails without managing infrastructure. SageMaker is for training, fine-tuning, and deploying custom models with full control over the training process. The exam tests both and expects you to know when each is the right choice. Bedrock is for consuming foundation models. SageMaker is for building and customizing them.

What is the trade-off framework for fine-tuning vs RAG vs prompt engineering?

The exam tests this distinction frequently:

• Prompt engineering is the fastest and cheapest approach. Use it when the model's existing knowledge is sufficient and you need to guide output format or behavior.
• RAG is best when you need the model to access specific, up-to-date, or proprietary information that was not in its training data.
• Fine-tuning is best when you need the model to consistently follow a specific style, format, or domain-specific behavior that prompting alone cannot achieve reliably.

The binding constraint in the scenario (cost, accuracy, data freshness, latency) usually points to one of these three.

What are the most common ways people fail?

• Treating every AI question as a Bedrock question. Some scenarios require SageMaker for fine-tuning or custom training. Knowing when Bedrock is not enough is essential.
• Not understanding RAG depth. The exam goes beyond basic retrieve-and-generate. You need to understand chunking strategies, embedding model selection, hybrid search, query rewriting, and reranking.
• Ignoring AI safety. At 20% of the exam, safety and governance are not a footnote. Bedrock Guardrails, prompt injection defenses, and compliance frameworks show up regularly.
• Confusing on-demand and provisioned throughput. Know the cost and latency trade-offs and when each model is justified.
• Not practicing agent design. Bedrock Agents with action groups, function calling, and multi-agent orchestration are core topics. If you have not built one, you will struggle with these questions.

What are the three biggest preparation mistakes?

1. Studying documentation without building. AIP-C01 is a practical exam. If you have not built a RAG pipeline, configured a Bedrock Guardrail, or deployed a fine-tuned model, you will struggle with scenario questions.
2. Skipping safety and governance depth. Candidates with strong development backgrounds often focus on implementation and neglect Domain 3. At 20% of the exam, that is a costly oversight.
3. Not practicing under time pressure. 75 questions in 170 minutes is generous, but scenario-heavy questions consume more time than you expect. Practice timed quizzes to build pacing.

Is there a renewal option?

Yes. AIP-C01 is valid for 3 years. To renew, you retake the current version of the exam. AWS also offers recertification pathways through their certification portal. Check the AWS Certification portal for the most current renewal options.

Quick-Reference: What Is on the Exam

For the full, always-current list, visit the official AIP-C01 exam guide.