AWS Certified Generative AI Developer - Professional (AIP-C01): exam guide, passing score and how to prepare
Every question and every answer is checked twice before you see it.
What the AWS AIP-C01 exam covers, what to check before you book, the ideas people mix up, and a simple way to prepare. Last updated .
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Before exam day: what to know about AWS AIP-C01
The real exam is run by the provider. These are the details people look for before they book.
Source: the provider’s official page, checked on 1 November 2026. The provider can change these details at any time.
Your exam-day checklist
- Confirm the details above on the provider’s page the day you book. Formats and rules change.
- Match your name and ID. The name on your registration usually has to match your identification. Check the provider’s ID rules.
- Test your set-up early if you take the exam online: camera, microphone, internet and a clear desk. Providers publish a system test.
- Know the rules for breaks and materials before you sit. Read the candidate agreement.
- Rehearse at exam pace. Take your last practice test with a timer and no notes.
What the AWS AIP-C01 exam covers
The AWS Certified Generative AI Developer - Professional (AIP-C01) exam is about designing and building generative AI applications on AWS. Always check the provider’s official exam guide for the current objectives, fees and format.
Roles this can lead to
- Generative AI developer
- AI solutions architect
- Machine learning engineer
- Senior cloud engineer on AI products
Easy to mix up on the AWS AIP-C01 exam
Exam questions often use two ideas that sound alike. Learn the difference once and several questions become easy.
| Pair | The key difference | How to choose |
|---|---|---|
| Knowledge Bases for Amazon Bedrock or Agents for Amazon Bedrock | Knowledge Bases provide managed retrieval from your data for RAG, while Agents plan multi-step tasks and call tools or APIs to complete them. | Use a knowledge base to ground answers in documents; add an agent when the application must take actions or orchestrate several steps. |
| Fine-tuning or Continued pre-training | Fine-tuning trains on labelled prompt and response pairs for a specific task, while continued pre-training uses large amounts of unlabelled domain text to extend the model's knowledge. | Use fine-tuning to improve task behaviour; use continued pre-training to adapt the model to a specialised vocabulary or domain corpus. |
| Converse API or InvokeModel API | The Converse API uses a consistent message format across supported models, while InvokeModel requires the model-specific request body. | Use Converse for portable multi-turn chat code; use InvokeModel when you need a model-specific parameter or format. |
| On-demand inference or Provisioned Throughput | On-demand pays per use with shared capacity, while Provisioned Throughput reserves dedicated model units for steady, predictable performance. | Use on-demand for variable or experimental traffic; use Provisioned Throughput for sustained high-volume production load or custom models that require it. |
Study notes written by us. Always check the provider’s exam guide for the current objectives.
How to prepare in four steps
- Read the official exam guideNote the domains and their weights on the provider’s page.
- Take Test 1 as a baseline75 questions in 180 minutes, no notes.
- Fix the gapsRead every explanation and keep an error log.
- Repeat to 85%Two timed tests in a row, then book the exam.
See how we explain every option
Each option in our tests has a reason: why the right answer is right and what trap each wrong option sets.
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A customer-facing generative AI application must detect and mask personal information in prompts and responses and block certain denied topics, independently of which foundation model is used. Which capability should the developer apply?
Illustration from the AI topic area. An original question written for this exam’s topics, not an actual exam question.
Frequently asked questions
What is the AWS AIP-C01 exam?
The AWS Certified Generative AI Developer - Professional (AIP-C01) exam is about designing and building generative AI applications on AWS. We rate it professional level in our guide to help you choose.
What is the passing score for AWS AIP-C01?
750 on a scaled score of 100 to 1,000. Source: the provider, checked 1 November 2026. The provider can change this at any time.
How long is the AWS AIP-C01 exam?
180 minutes, with 75 questions (65 scored, 10 unscored), multiple choice or multiple response. Source: the provider, checked 1 November 2026.
Who should take AWS AIP-C01?
It suits people in or moving toward roles such as Generative AI developer, AI solutions architect, Machine learning engineer. A certificate supports an application but does not guarantee a job.
How should I prepare for AWS AIP-C01?
Read the provider's official exam guide, take one timed practice test as a baseline, fix the topics you missed, then repeat until you reach about 85 percent twice in a row. Our AWS AIP-C01 study plan shows the pace.
Not affiliated with, endorsed by or sponsored by any certification vendor or exam body. Certification names, exam codes and product names are trademarks of their respective owners and are used only to identify the exam a practice product prepares for. Our questions are original and are not actual exam questions.