GenAI Developer
AWS Certified Generative AI Developer – Professional (AIP-C01) Study Plan
Plan your AIP-C01 study by the official weights: Domain 1 (FM integration, data and compliance) is 31% and Domain 2 (implementation and integration) is 26%, so together they are 57% of the scored content. The exam has 75 questions (65 scored), lasts 180 minutes and you need 750 out of 1,000 to pass.
What the AIP-C01 exam tests
AWS says the exam is for people who perform a GenAI developer role and validates the ability to integrate foundation models (FMs) into applications and business workflows. The guide lists tasks such as designing solutions with vector stores, RAG and knowledge bases, applying prompt engineering, implementing agentic AI, optimizing for cost and performance, implementing security, governance and Responsible AI, troubleshooting and evaluating FMs.
The target candidate has 2 or more years of 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 work. Read the AIP-C01 exam guide for the full summary.
Study time by domain weight
| Domain | Weight | Suggested share of study time |
|---|---|---|
| 1. Foundation Model Integration, Data Management, and Compliance | 31% | About a third |
| 2. Implementation and Integration | 26% | About a quarter |
| 3. AI Safety, Security, and Governance | 20% | About a fifth |
| 4. Operational Efficiency and Optimization for GenAI Applications | 12% | One week of review |
| 5. Testing, Validation, and Troubleshooting | 11% | One week of review |
Source: docs.aws.amazon.com/aws-certification/latest/ai-professional-01/ai-professional-01.html
The weights are official; the share of study time is this site's suggestion. The exam uses compensatory scoring, so you only need to pass overall, not each section.
What you do not need to study
AWS lists these job tasks as out of scope for the target candidate:
- Model development and training
- Advanced ML techniques
- Data engineering and feature engineering
That tells you where the exam is: integrating, securing, optimizing and evaluating foundation models with AWS services, mostly Amazon Bedrock, not building models.
A 4-week plan
- Week 1 – Domain 1, RAG and data. Chunking, embeddings, vector stores, retrieval and prompt management. Start with chunking and embeddings and hybrid search, reranking and filters.
- Week 2 – Domain 2, building and integrating. Agents and tools, Step Functions patterns, streaming, retries and model deployment options. See orchestration: Step Functions, streaming and retries.
- Week 3 – Domain 3, safety and governance. Bedrock Guardrails, PII handling, enforcing guardrails with IAM and data privacy. Read Amazon Bedrock Guardrails explained.
- Week 4 – Domains 4 and 5, then full practice. Cost and capacity (throughput vs cross-Region inference), monitoring, evaluation jobs and troubleshooting. Finish with timed tests in exam mode.
Exam format and test-day rules
- 75 questions in 180 minutes: 65 scored and 10 unscored that you cannot identify. That is about 2 minutes 24 seconds per question.
- Multiple choice (one correct of four) and multiple response (two or more correct of five or more). In multiple response you must select all the correct answers to get credit.
- No penalty for guessing, and unanswered questions count as wrong, so answer everything.
- Scaled score from 100 to 1,000; 750 to pass. The exam costs 300 USD.
How to practice
Take a diagnostic test first, then study the weakest domain. On this site you can practice AIP-C01 questions with an explanation for every option, an incorrect-questions bank and spaced repetition. The Android app also sends one AIP-C01 tip every 3 hours when you choose this exam.
Frequently asked questions
How many questions are on the AIP-C01 exam?
75: 65 scored and 10 unscored questions that are not identified.
How long is the AWS Generative AI Developer Professional exam?
180 minutes.
What is the passing score for AIP-C01?
750 on a scaled score of 100 to 1,000, with compensatory scoring.
Do I need to know how to train models for AIP-C01?
No. AWS lists model development and training, advanced ML techniques, and data and feature engineering as out of scope.
Sources
AWS updates its programs and documentation. Check the linked official pages for the latest details before you decide or pay.
Practice for AIP-C01
Free AWS Generative AI Developer – Professional practice questions with an explanation for every option. No sign-up.
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