Program profile · official sources
AWS Certified Generative AI Developer - Professional (AIP-C01)
The AWS Certified Generative AI Developer - Professional (AIP-C01) is a certification from Amazon Web Services. It targets professionals with two years of experience building production-grade applications on AWS or open-source technologies, general AI or machine learning experience, and one year of hands-on experience implementing generative AI solutions. The 180-minute exam contains 65 scored questions and 10 unscored questions, using multiple-choice and multiple-response formats. It costs USD 300 for a single attempt, subject to regional pricing. No prior certification is required. Domains cover foundation-model integration, data management, compliance, implementation, AI safety, security, governance, operational efficiency, testing, and troubleshooting. The credential is valid for three years; recertification requires passing the current exam version.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Price
- USD 300USD 300 for one attempt; foreign-exchange rates, regional pricing, taxes, optional preparation and repeat attempts are separate.
- Duration
- 180 minutes for the exam assessmentnot preparation time
- Level
- Professional
- Format
- Certification exam
- Credential
- industry certification
- Prerequisites
- No prior certification is required. Target profile: 2+ years building production-grade applications on AWS or open-source technologies, general AI/ML or data-engineering experience, and 1 year implementing generative-AI solutions.
Sources ↗
- Price — https://aws.amazon.com/certification/certified-generative-ai-developer-professional/
- Duration — https://aws.amazon.com/certification/certified-generative-ai-developer-professional/
- Official program page — https://aws.amazon.com/certification/certified-generative-ai-developer-professional/
- Credential details — https://docs.aws.amazon.com/aws-certification/latest/ai-professional-01.html
- Credential details — https://aws.amazon.com/certification/recertification/
What’s covered
- Foundation-model integration, data management, and compliance
- Implementation and integration
- AI safety, security, and governance
- Operational efficiency and optimization for generative-AI applications
- Testing, validation, and troubleshooting
Prerequisites: No prior certification is required. Target profile: 2+ years building production-grade applications on AWS or open-source technologies, general AI/ML or data-engineering experience, and 1 year implementing generative-AI solutions.
What is the format and cost of the AWS Certified Generative AI Developer - Professional exam?
The exam includes 65 scored questions and 10 unscored questions in multiple-choice or multiple-response formats. Candidates have 180 minutes of sitting time; this is exam duration, not a preparation-time estimate. The exam can be taken at a Pearson VUE test center or through online proctoring. It is available in English, Japanese, Korean and Simplified Chinese. One attempt costs USD 300, while foreign-exchange rates and regional pricing can affect the final booking amount. A scaled score of 750 is required to pass.
What experience is expected for the AWS Certified Generative AI Developer - Professional certification?
The target candidate should have two or more years of experience building production-grade applications on AWS or open-source technologies. Additionally, they should possess general artificial intelligence, machine learning, or data-engineering experience. The candidate should also have one year of hands-on experience specifically focused on implementing generative artificial intelligence solutions. Despite these target experience profiles, there is no formal requirement to hold any prior certification before attempting the AWS Certified Generative AI Developer - Professional exam. The preparation duration required to pass the exam is not defined and will vary by candidate.
What topics are covered and excluded on the AWS Certified Generative AI Developer - Professional exam?
The exam evaluates candidates across five specific domains. Foundation-model integration, data management, and compliance make up 31% of the exam. Implementation and integration account for 26%. Artificial intelligence safety, security, and governance represent 20%. Operational efficiency and optimization cover 12%, while testing, validation, and troubleshooting make up the remaining 11%. The exam explicitly does not cover certain topics. Candidates will not be tested on model development or training, advanced machine learning techniques, or data and feature engineering tasks. Once obtained, the certification is valid for three years.
What you actually do
- Foundation-model integration, data management, and compliance — Exam domain; 31% of scored content. · Source
- Implementation and integration — Exam domain; 26%. · Source
- AI safety, security, and governance — Exam domain; 20%. · Source
- Operational efficiency and optimization — Exam domain; 12%. · Source
- Testing, validation, and troubleshooting — Exam domain; 11%. · Source
What the credential is
- Credential type
- industry certification · Source
- Credential
- AWS Certified Generative AI Developer - Professional · Source Source Source
- Issuer
- AWS Training and Certification · Source Source Source
- Expiry and renewal
- Valid for three years. Recertify by passing the latest version of the exam. · Source
- Exam requirement
- Pass AIP-C01; minimum passing scaled score 750. · Source
- Exam required
- Yes · Source Source Source
- Credential expires
- Yes · Source Source Source
- Renewal
- Pass the latest exam version. · Source Source Source
Total cost to finish
Estimate for the stated payment scope: USD 300 × 1 = USD 300.
- One certification exam attempt: USD 300 × 1 = USD 300. One exam registration/attempt; not preparation cost or a guarantee of passing. · Source
Scope: USD 300 for one attempt; foreign-exchange rates, regional pricing, taxes, optional preparation and repeat attempts are separate. · Source
Retakes: Repeat-attempt cost is not established in the reviewed source. · Source
Who should skip it
- Skip it if you need assessment of model development or training; the exam guide lists those tasks as out of scope. · Source
- Skip it if your work centers on advanced ML techniques rather than integrating foundation models into applications. · Source
- Skip it if you need assessment of data engineering or feature engineering; both are outside the target scope. · Source
Alternatives in the registry
Related by topic or level.
- Professional Machine Learning Engineer — USD 200 (USD 200 for one certification exam registration/attempt, plus applicable tax. Optional preparation and repeat-attempt costs are separate. Currency is explicitly stated by the first-party Spanish localization.); 2 hours for the exam assessment; not preparation time.
- NVIDIA-Certified Professional: AI Networking (NCP-AIN) — USD 400 (USD 400 for one exam attempt, normalized from the dollar amount on NVIDIA's official US page; taxes, preparation and repeat attempts are separate.); 120 minutes for the exam assessment; not preparation time.
- AWS Certified AI Practitioner (AIF-C01) — USD 100 (One initial exam attempt; check applicable regional pricing and taxes. Optional preparation and retakes are not included.); 90 minutes (exam only; not preparation time).
Change log
- : Initial recorded review of official exam, scope, price and credential facts. · Source